{"cells":[{"cell_type":"markdown","id":"ef5a74fc","metadata":{"id":"ef5a74fc"},"source":["# YOLO26_GV2 Training, Export, and Edge Deployment\n","\n","**Purpose:** Train a YOLO26 object detection model locally, validate the trained weights, export the model to TensorFlow/TFLite/ONNX formats, compare exported model behavior, and prepare the int8 TFLite model for Ethos-U deployment with Vela.\n","\n","This notebook follows the teaching style of `Train_YOLO_Models.ipynb`, but it is adapted for this local project instead of Google Colab. It assumes you are running inside a `uv` managed Python 3.12 environment and that your dataset has already been prepared in Ultralytics format.\n","\n","## What You Will Build\n","\n","By the end of this notebook, you should have:\n","\n","- a trained YOLO26 model checkpoint\n","- validation metrics for the trained model\n","- a visual prediction preview on one validation image\n","- exported SavedModel, float32 TFLite, int8 TFLite, and ONNX artifacts\n","- a quick inspection of the quantized TFLite graph\n","- numerical comparisons between ONNX, FP32 TFLite, and INT8 TFLite outputs\n","- an optional Vela-compiled model for Ethos-U55\n","\n","## Notebook Flow\n","\n","1. Install project dependencies.\n","2. Configure common imports, dataset paths, and training parameters.\n","3. Train and validate the YOLO26 model.\n","4. Preview predictions on a test image.\n","5. Export the trained model for deployment.\n","6. Inspect and validate exported models.\n","7. Run a side-by-side local inference comparison.\n","8. Optionally compile the int8 TFLite model with Vela.\n"]},{"cell_type":"markdown","id":"0a1409cb","metadata":{"id":"0a1409cb"},"source":["# 1. Install Requirements\n","\n","This project is designed to run inside a local `uv` managed virtual environment on Python 3.12.\n","\n","The first code cell contains a locked dependency list for the environment. If you need to recreate the dependency file, uncomment the `REQS` block and write it to `requirements.lock.txt`. If the file already exists, you can leave the block commented and run the install command in the next cell.\n","\n","**Before running:** make sure your Jupyter kernel is using the same virtual environment where you want these packages installed.\n"]},{"cell_type":"code","execution_count":15,"id":"84828231","metadata":{"executionInfo":{"elapsed":39,"status":"ok","timestamp":1786002867113,"user":{"displayName":"Carla Guo","userId":"14063917280599231222"},"user_tz":-480},"id":"84828231"},"outputs":[],"source":["# Deps lock full\n","# REQS = \"\"\"\n","# absl-py==2.5.0\n","# ai-edge-litert==2.1.6\n","# asttokens==3.0.1\n","# astunparse==1.6.3\n","# backports-strenum==1.3.1\n","# certifi==2026.6.17\n","# charset-normalizer==3.4.7\n","# colorama==0.4.6\n","# comm==0.2.3\n","# contourpy==1.3.3\n","# cuda-bindings==13.3.1\n","# cuda-pathfinder==1.5.6\n","# cuda-toolkit==13.0.2\n","# cycler==0.12.1\n","# debugpy==1.8.21\n","# decorator==5.3.1\n","# ethos-u-vela==5.1.0\n","# executing==2.2.1\n","# filelock==3.29.5\n","# flatbuffers==25.12.19\n","# fonttools==4.63.0\n","# fsspec==2026.6.0\n","# gast==0.7.0\n","# google-pasta==0.2.0\n","# grpcio==1.82.0\n","# h5py==3.16.0\n","# idna==3.18\n","# ipykernel==7.3.0\n","# ipython==9.15.0\n","# ipython-pygments-lexers==1.1.1\n","# jedi==0.20.0\n","# jinja2==3.1.6\n","# jupyter-client==8.9.1\n","# jupyter-core==5.9.1\n","# keras==3.15.0\n","# kiwisolver==1.5.0\n","# libclang==18.1.1\n","# markdown==3.10.2\n","# markdown-it-py==4.2.0\n","# markupsafe==3.0.3\n","# matplotlib==3.11.0\n","# matplotlib-inline==0.2.2\n","# mdurl==0.1.2\n","# ml-dtypes==0.5.4\n","# mpmath==1.3.0\n","# namex==0.1.0\n","# nest-asyncio2==1.7.2\n","# networkx==3.6.1\n","# numpy==2.1.3\n","# nvidia-cublas==13.1.1.3\n","# nvidia-cuda-cupti==13.0.85\n","# nvidia-cuda-nvrtc==13.0.88\n","# nvidia-cuda-runtime==13.0.96\n","# nvidia-cudnn-cu13==9.20.0.48\n","# nvidia-cufft==12.0.0.61\n","# nvidia-cufile==1.15.1.6\n","# nvidia-curand==10.4.0.35\n","# nvidia-cusolver==12.0.4.66\n","# nvidia-cusparse==12.6.3.3\n","# nvidia-cusparselt-cu13==0.8.1\n","# nvidia-ml-py==13.610.43\n","# nvidia-nccl-cu13==2.29.7\n","# nvidia-nvjitlink==13.0.88\n","# nvidia-nvshmem-cu13==3.4.5\n","# nvidia-nvtx==13.0.85\n","# onnx==1.22.0\n","# onnx-graphsurgeon==0.6.1\n","# onnx2tf==1.28.8\n","# onnxruntime==1.27.0\n","# onnxslim==0.1.94\n","# opencv-python==5.0.0.93\n","# opt-einsum==3.4.0\n","# optree==0.19.1\n","# packaging==26.2\n","# parso==0.8.7\n","# pexpect==4.9.0\n","# pillow==12.3.0\n","# platformdirs==4.10.0\n","# polars==1.42.1\n","# polars-runtime-32==1.42.1\n","# prompt-toolkit==3.0.52\n","# protobuf==5.29.6\n","# psutil==7.2.2\n","# ptyprocess==0.7.0\n","# pure-eval==0.2.3\n","# pygments==2.20.0\n","# pyparsing==3.3.2\n","# python-dateutil==2.9.0.post0\n","# pyyaml==6.0.3\n","# pyzmq==27.1.0\n","# requests==2.34.2\n","# rich==15.0.0\n","# setuptools==81.0.0\n","# six==1.17.0\n","# sng4onnx==2.0.1\n","# stack-data==0.6.3\n","# sympy==1.14.0\n","# tensorboard==2.19.0\n","# tensorboard-data-server==0.7.2\n","# tensorflow==2.19.0\n","# termcolor==3.3.0\n","# tf-keras==2.19.0\n","# torch==2.12.1\n","# torchvision==0.27.1\n","# tornado==6.5.7\n","# tqdm==4.68.3\n","# traitlets==5.15.1\n","# triton==3.7.1\n","# typing-extensions==4.16.0\n","# ultralytics==8.4.89\n","# ultralytics-thop==2.0.20\n","# urllib3==2.7.0\n","# wcwidth==0.8.2\n","# werkzeug==3.1.8\n","# wheel==0.47.0\n","# wrapt==2.2.2\n","# pandas==3.0.3\n","# \"\"\"\n","\n","# Deps lock partial\n","# REQS = \"\"\"\n","# ai-edge-litert==2.1.6\n","# ethos-u-vela==5.1.0\n","# flatbuffers==25.12.19\n","# matplotlib\n","# matplotlib-inline\n","# numpy==2.1.3\n","# onnx==1.22.0\n","# onnx-graphsurgeon==0.6.1\n","# onnx2tf==1.28.8\n","# onnxruntime==1.27.0\n","# onnxslim==0.1.94\n","# opencv-python==5.0.0.93\n","# pillow==12.3.0\n","# protobuf==5.29.6\n","# tensorflow==2.19.0\n","# tf-keras==2.19.0\n","# torch==2.12.1\n","# torchvision==0.27.1\n","# ultralytics==8.4.89\n","# ultralytics-thop==2.0.20\n","# \"\"\"\n","\n","# On Google Colab, prefer use this\n","REQS = \"\"\"\n","ai-edge-litert\n","ethos-u-vela\n","flatbuffers\n","matplotlib\n","matplotlib-inline\n","numpy\n","onnx\n","onnx-graphsurgeon\n","onnx2tf\n","onnxruntime\n","onnxslim\n","opencv-python\n","pillow\n","protobuf\n","tensorflow\n","tf-keras\n","torch\n","torchvision\n","ultralytics\n","ultralytics-thop\n","\"\"\"\n","\n","with open(\"requirements.lock.txt\", \"w\") as f:\n"," f.write(REQS)"]},{"cell_type":"markdown","id":"387cc34c","metadata":{"id":"387cc34c"},"source":["Run the dependency installation command below.\n","\n","If your Jupyter kernel is already inside the `uv` virtual environment but `uv` is unavailable from the notebook shell, remove `uv` from the command and run `pip install -r /content/custom_data/requirements.lock.txt` instead.\n"]},{"cell_type":"code","execution_count":16,"id":"b9638cbc","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":307,"status":"ok","timestamp":1786002872474,"user":{"displayName":"Carla Guo","userId":"14063917280599231222"},"user_tz":-480},"id":"b9638cbc","outputId":"a587fac8-efc4-4fdd-e3d5-c10bd9c74795"},"outputs":[{"output_type":"stream","name":"stdout","text":["\u001b[2mUsing Python 3.12.13 environment at: /usr\u001b[0m\n","\u001b[2mChecked \u001b[1m20 packages\u001b[0m \u001b[2min 238ms\u001b[0m\u001b[0m\n"]}],"source":["!uv pip install -r /content/requirements.lock.txt # Note: remove uv the jupyter kernel is not running under uv venv"]},{"cell_type":"markdown","id":"e1741338","metadata":{"id":"e1741338"},"source":["# 2. Prepare the Dataset and Common Settings\n","\n","This notebook assumes your dataset is already organized for Ultralytics YOLO training and your project package is stored in Google Drive as `custom_data.zip`.\n","\n","Run this cell only when you are using Google Colab\n","\n","This command copies `custom_data.zip` from Google Drive to Colab's `/content` root, then extracts it into `/content`. The zip itself should contain a top-level `custom_data/` folder, so the actual project files are read from `/content/custom_data/`.\n","\n","\n","Expected result after extraction:\n","\n","- `/content/custom_data/data/train/images/`\n","- `/content/custom_data/data/train/labels/`\n","- `/content/custom_data/data/validation/images/`\n","- `/content/custom_data/data/validation/labels/`\n","- `/content/custom_data/data.yaml`\n","- `/content/custom_data/yolo26n.pt`"]},{"cell_type":"code","execution_count":null,"id":"4847cd06","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":25665,"status":"ok","timestamp":1785999236796,"user":{"displayName":"Carla Guo","userId":"14063917280599231222"},"user_tz":-480},"id":"4847cd06","outputId":"16ecda54-0018-4b73-e1c4-51fe2f40c1b9"},"outputs":[{"name":"stdout","output_type":"stream","text":["Mounted at /content/gdrive\n"]}],"source":["from google.colab import drive\n","drive.mount('/content/gdrive')\n","\n","!cp /content/gdrive/MyDrive/custom_data.zip /content/custom_data.zip\n","!unzip -q /content/custom_data.zip -d /content\n"]},{"cell_type":"markdown","source":["The common import cell also changes the default convolution activation to `ReLU6`, which is often useful for mobile and edge deployment pipelines."],"metadata":{"id":"2XELPOu6hZor"},"id":"2XELPOu6hZor"},{"cell_type":"code","execution_count":17,"id":"4fd5d1fb","metadata":{"executionInfo":{"elapsed":5,"status":"ok","timestamp":1786002881128,"user":{"displayName":"Carla Guo","userId":"14063917280599231222"},"user_tz":-480},"id":"4fd5d1fb"},"outputs":[],"source":["import torch.nn as nn\n","from ultralytics import YOLO\n","from ultralytics.nn.modules import Conv\n","\n","Conv.default_act = nn.ReLU6(inplace=True)"]},{"cell_type":"markdown","id":"0a5e3362","metadata":{"id":"0a5e3362"},"source":["Set the main paths and training parameters.\n","\n","- `DATASET` points to the Ultralytics dataset YAML.\n"," A typical `/content/custom_data/data.yaml` looks like this:\n","\n"," ```yaml\n"," path: /content/custom_data/data\n"," train: train/images\n"," val: validation/images\n"," nc: 2\n"," names: [\"class0\", \"class1\"]\n"," ```\n","- `EPOCHS` controls how long the model trains.\n","- `IMGSZ` controls the square input resolution used for training, validation, export, and inference checks.\n","- `TEST_IMAGE_PATH` is one validation image used for a quick visual prediction preview.\n","\n","Update these values before running the rest of the notebook if your local paths differ.\n"]},{"cell_type":"code","execution_count":18,"id":"1ed4dbb2","metadata":{"executionInfo":{"elapsed":11,"status":"ok","timestamp":1786002885271,"user":{"displayName":"Carla Guo","userId":"14063917280599231222"},"user_tz":-480},"id":"1ed4dbb2"},"outputs":[],"source":["DATASET = \"/content/custom_data/data.yaml\"\n","EPOCHS = 150\n","IMGSZ = 224\n","\n","TEST_IMAGE_PATH = \"/content/custom_data/data/validation/images/abefaafa-candy_112.jpg\"\n"]},{"cell_type":"markdown","id":"f6a49f6c","metadata":{"id":"f6a49f6c"},"source":["# 3. Train the YOLO26 Model\n","\n","This section creates a YOLO26 nano model from `yolo26n.pt` and trains it on the dataset configured above.\n","\n","The training output will be saved under `runs/detect/`, usually in a folder such as `runs/detect/train`, `runs/detect/train2`, or another incremented run name. The best checkpoint from training is typically stored at:\n","\n","```text\n","runs/detect//weights/best.pt\n","```\n","\n","You will use that checkpoint later during export.\n"]},{"cell_type":"code","execution_count":19,"id":"2417883a","metadata":{"executionInfo":{"elapsed":90,"status":"ok","timestamp":1786002889095,"user":{"displayName":"Carla Guo","userId":"14063917280599231222"},"user_tz":-480},"id":"2417883a"},"outputs":[],"source":["model = YOLO(\"/content/custom_data/yolo26n.pt\")\n"]},{"cell_type":"markdown","id":"c728b438","metadata":{"id":"c728b438"},"source":["Optional architecture check: print the model modules so you can confirm the model loaded correctly and inspect the layer structure before training.\n"]},{"cell_type":"code","execution_count":20,"id":"cfa49c63","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":61,"status":"ok","timestamp":1786002891416,"user":{"displayName":"Carla Guo","userId":"14063917280599231222"},"user_tz":-480},"id":"cfa49c63","outputId":"bf9136b7-f298-4c08-9fe9-f4bfb77ff547"},"outputs":[{"output_type":"stream","name":"stdout","text":["\n"]}],"source":["print(model.model.modules)"]},{"cell_type":"markdown","id":"666a7afe","metadata":{"id":"666a7afe"},"source":["Start training.\n","\n","`plots=True` tells Ultralytics to save useful training plots such as loss curves, precision/recall curves, and confusion matrices in the run folder. If training is slow, reduce `EPOCHS`; if accuracy is unstable, review the dataset labels and validation split before changing model code.\n"]},{"cell_type":"code","execution_count":21,"id":"376d9657","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"376d9657","executionInfo":{"status":"ok","timestamp":1786005473598,"user_tz":-480,"elapsed":2577737,"user":{"displayName":"Carla Guo","userId":"14063917280599231222"}},"outputId":"744ab7a7-ea30-4741-9efb-c7fcc3ca3894"},"outputs":[{"output_type":"stream","name":"stdout","text":["Ultralytics 8.4.115 🚀 Python-3.12.13 torch-2.11.0+cpu CPU (Intel Xeon CPU @ 2.20GHz)\n","\u001b[34m\u001b[1mengine/trainer: \u001b[0magnostic_nms=False, amp=True, angle=1.0, augment=False, auto_augment=randaugment, batch=16, bgr=0.0, box=7.5, cache=False, cfg=None, channels_last=False, classes=None, close_mosaic=10, cls=0.5, cls_pw=0.0, cls_remap=True, compile=False, conf=None, copy_paste=0.0, copy_paste_mode=flip, cos_lr=False, cutmix=0.0, data=/content/custom_data/data.yaml, degrees=0.0, deterministic=True, device=, dfl=1.5, dgrad=0.5, dis=6.0, distill_model=None, dlam=1.0, dlog=1.0, dnn=False, dropout=0.0, dynamic=False, embed=None, end2end=None, epochs=150, erasing=0.4, exist_ok=False, fliplr=0.5, flipud=0.0, format=torchscript, fraction=1.0, freeze=None, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, imgsz=224, iou=0.7, keras=False, kobj=1.0, line_width=None, lr0=0.01, lrf=0.01, mask_ratio=4, max_det=300, mixup=0.0, mode=train, model=/content/custom_data/yolo26n.pt, momentum=0.937, mosaic=1.0, multi_scale=0.0, name=train, nbs=64, nms=False, opset=None, optimize=False, optimizer=auto, overlap_mask=True, patience=100, perspective=0.0, plots=True, pose=12.0, pretrained=True, profile=False, project=None, quantize=None, rect=False, resume=False, retina_masks=False, rle=1.0, save=True, save_conf=False, save_crop=False, save_dir=/content/runs/detect/train, save_frames=False, save_json=False, save_period=-1, save_txt=False, scale=0.5, seed=0, shear=0.0, show=False, show_boxes=True, show_conf=True, show_labels=True, simplify=True, single_cls=False, source=None, split=val, stream_buffer=False, task=detect, time=None, tracker=tracktrack.yaml, translate=0.1, val=True, verbose=True, vid_stride=1, visualize=False, warmup_bias_lr=0.1, warmup_epochs=3.0, warmup_momentum=0.8, weight_decay=0.0005, workers=8, workspace=None\n","Overriding model.yaml nc=80 with nc=11\n","\n"," from n params module arguments \n"," 0 -1 1 464 ultralytics.nn.modules.conv.Conv [3, 16, 3, 2] \n"," 1 -1 1 4672 ultralytics.nn.modules.conv.Conv [16, 32, 3, 2] \n"," 2 -1 1 6640 ultralytics.nn.modules.block.C3k2 [32, 64, 1, False, 0.25] \n"," 3 -1 1 36992 ultralytics.nn.modules.conv.Conv [64, 64, 3, 2] \n"," 4 -1 1 26080 ultralytics.nn.modules.block.C3k2 [64, 128, 1, False, 0.25] \n"," 5 -1 1 147712 ultralytics.nn.modules.conv.Conv [128, 128, 3, 2] \n"," 6 -1 1 87040 ultralytics.nn.modules.block.C3k2 [128, 128, 1, True] \n"," 7 -1 1 295424 ultralytics.nn.modules.conv.Conv [128, 256, 3, 2] \n"," 8 -1 1 346112 ultralytics.nn.modules.block.C3k2 [256, 256, 1, True] \n"," 9 -1 1 164608 ultralytics.nn.modules.block.SPPF [256, 256, 5, 3, True] \n"," 10 -1 1 249728 ultralytics.nn.modules.block.C2PSA [256, 256, 1] \n"," 11 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] \n"," 12 [-1, 6] 1 0 ultralytics.nn.modules.conv.Concat [1] \n"," 13 -1 1 119808 ultralytics.nn.modules.block.C3k2 [384, 128, 1, True] \n"," 14 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] \n"," 15 [-1, 4] 1 0 ultralytics.nn.modules.conv.Concat [1] \n"," 16 -1 1 34304 ultralytics.nn.modules.block.C3k2 [256, 64, 1, True] \n"," 17 -1 1 36992 ultralytics.nn.modules.conv.Conv [64, 64, 3, 2] \n"," 18 [-1, 13] 1 0 ultralytics.nn.modules.conv.Concat [1] \n"," 19 -1 1 95232 ultralytics.nn.modules.block.C3k2 [192, 128, 1, True] \n"," 20 -1 1 147712 ultralytics.nn.modules.conv.Conv [128, 128, 3, 2] \n"," 21 [-1, 10] 1 0 ultralytics.nn.modules.conv.Concat [1] \n"," 22 -1 1 463104 ultralytics.nn.modules.block.C3k2 [384, 256, 1, True, 0.5, True]\n"," 23 [16, 19, 22] 1 245466 ultralytics.nn.modules.head.Detect [11, 1, True, [64, 128, 256]] \n","YOLO26n summary: 260 layers, 2,508,090 parameters, 2,508,090 gradients, 5.9 GFLOPs\n","\n","Transferred 606/708 items from pretrained weights\n","\u001b[34m\u001b[1mtrain: \u001b[0mFast image access ✅ (ping: 0.0±0.0 ms, read: 2624.5±945.2 MB/s, size: 308.2 KB)\n","\u001b[K\u001b[34m\u001b[1mtrain: \u001b[0mScanning /content/custom_data/data/train/labels.cache... 145 images, 0 backgrounds, 0 corrupt: 100% ━━━━━━━━━━━━ 145/145 35.8Mit/s 0.0s\n","\u001b[34m\u001b[1malbumentations: \u001b[0mBlur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01, method='weighted_average', num_output_channels=3), CLAHE(p=0.01, clip_limit=(1.0, 4.0), tile_grid_size=(8, 8))\n","\u001b[34m\u001b[1mval: \u001b[0mFast image access ✅ (ping: 0.0±0.0 ms, read: 1957.6±611.5 MB/s, size: 281.2 KB)\n","\u001b[K\u001b[34m\u001b[1mval: \u001b[0mScanning /content/custom_data/data/validation/labels.cache... 17 images, 0 backgrounds, 0 corrupt: 100% ━━━━━━━━━━━━ 17/17 4.2Mit/s 0.0s\n","\u001b[34m\u001b[1moptimizer:\u001b[0m 'optimizer=auto' found, ignoring 'lr0=0.01' and 'momentum=0.937' and determining best 'optimizer', 'lr0' and 'momentum' automatically... \n","\u001b[34m\u001b[1moptimizer:\u001b[0m AdamW(lr=0.000667, momentum=0.9) with parameter groups 114 weight(decay=0.0), 126 weight(decay=0.0005), 126 bias(decay=0.0)\n","Plotting labels to /content/runs/detect/train/labels.jpg... \n","Image sizes 224 train, 224 val\n","Using 0 dataloader workers\n","Logging results to \u001b[1m/content/runs/detect/train\u001b[0m\n","Starting training for 150 epochs...\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 1/150 0G 2.203 4.524 0.01903 0 224: 100% ━━━━━━━━━━━━ 10/10 1.8s/it 17.6s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0 0 0 0\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 2/150 0G 2.229 4.874 0.01882 2 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 16.4s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.5it/s 0.7s\n"," all 17 75 0 0 0 0\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 3/150 0G 2.011 4.758 0.0155 2 224: 100% ━━━━━━━━━━━━ 10/10 1.9s/it 19.2s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.1it/s 0.9s\n"," all 17 75 0 0 0 0\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 4/150 0G 1.797 4.615 0.01411 8 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 16.0s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0 0 0 0\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 5/150 0G 1.682 4.503 0.01248 8 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.7s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0 0 0 0\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 6/150 0G 1.593 4.35 0.01244 7 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.8s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0 0 0 0\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 7/150 0G 1.532 4.201 0.01124 9 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.8s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.00163 0.0543 0.0193 0.00835\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 8/150 0G 1.552 3.98 0.01127 8 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.9s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.00656 0.464 0.168 0.106\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 9/150 0G 1.445 3.746 0.01131 5 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.6s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.0147 0.612 0.196 0.125\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 10/150 0G 1.548 3.663 0.01174 4 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 16.1s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.1it/s 0.9s\n"," all 17 75 0.579 0.268 0.189 0.126\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 11/150 0G 1.466 3.431 0.01155 7 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 16.1s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.1it/s 0.9s\n"," all 17 75 0.677 0.176 0.193 0.13\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 12/150 0G 1.534 3.278 0.01059 8 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.8s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.602 0.266 0.185 0.128\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 13/150 0G 1.512 3.139 0.0108 1 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.9s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.289 0.339 0.167 0.11\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 14/150 0G 1.475 2.908 0.0103 13 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.8s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.312 0.358 0.217 0.139\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 15/150 0G 1.513 2.952 0.01135 4 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.7s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.335 0.282 0.239 0.156\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 16/150 0G 1.35 2.698 0.009636 0 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.8s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.5it/s 0.6s\n"," all 17 75 0.435 0.276 0.264 0.171\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 17/150 0G 1.571 2.729 0.01083 3 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.6s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.404 0.309 0.276 0.188\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 18/150 0G 1.431 2.634 0.01013 5 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 16.0s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.1it/s 0.9s\n"," all 17 75 0.26 0.431 0.288 0.197\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 19/150 0G 1.431 2.521 0.01031 6 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 16.1s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.1it/s 0.9s\n"," all 17 75 0.378 0.491 0.335 0.227\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 20/150 0G 1.424 2.576 0.01089 5 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.9s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.345 0.493 0.347 0.237\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 21/150 0G 1.347 2.467 0.009907 7 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.7s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.353 0.476 0.382 0.283\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 22/150 0G 1.438 2.528 0.01019 4 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.9s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.313 0.335 0.392 0.29\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 23/150 0G 1.406 2.421 0.009254 16 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.8s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.323 0.379 0.391 0.29\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 24/150 0G 1.384 2.453 0.009547 9 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.9s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.368 0.382 0.404 0.315\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 25/150 0G 1.391 2.535 0.01094 4 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.8s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.5it/s 0.7s\n"," all 17 75 0.367 0.382 0.415 0.319\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 26/150 0G 1.4 2.326 0.01043 5 224: 100% ━━━━━━━━━━━━ 10/10 1.7s/it 16.5s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.1it/s 0.9s\n"," all 17 75 0.384 0.488 0.444 0.348\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 27/150 0G 1.376 2.275 0.00929 10 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 16.3s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.5it/s 0.7s\n"," all 17 75 0.371 0.471 0.47 0.358\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 28/150 0G 1.436 2.216 0.011 8 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 16.2s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.5it/s 0.6s\n"," all 17 75 0.419 0.44 0.473 0.374\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 29/150 0G 1.408 2.347 0.009837 11 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 16.0s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.399 0.403 0.479 0.373\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 30/150 0G 1.369 2.311 0.01063 4 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 16.0s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.438 0.427 0.501 0.393\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 31/150 0G 1.318 2.053 0.008734 6 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.9s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.465 0.466 0.492 0.387\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 32/150 0G 1.258 2.027 0.00849 12 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 16.0s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.3it/s 0.8s\n"," all 17 75 0.521 0.418 0.487 0.384\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 33/150 0G 1.31 2.019 0.008977 16 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 16.3s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.1it/s 0.9s\n"," all 17 75 0.525 0.428 0.509 0.4\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 34/150 0G 1.358 2.023 0.009263 8 224: 100% ━━━━━━━━━━━━ 10/10 1.7s/it 16.5s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.5it/s 0.6s\n"," all 17 75 0.468 0.474 0.51 0.398\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 35/150 0G 1.326 2.029 0.009683 6 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.8s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.466 0.524 0.53 0.41\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 36/150 0G 1.356 1.98 0.009862 2 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.7s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.467 0.486 0.56 0.44\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 37/150 0G 1.346 1.996 0.008971 7 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.7s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.512 0.54 0.589 0.452\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 38/150 0G 1.239 1.879 0.008826 11 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.9s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.497 0.605 0.616 0.477\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 39/150 0G 1.332 2.052 0.009184 3 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.7s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.499 0.64 0.636 0.495\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 40/150 0G 1.281 1.808 0.00953 6 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 16.3s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.1it/s 0.9s\n"," all 17 75 0.524 0.628 0.64 0.505\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 41/150 0G 1.303 1.813 0.008809 6 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 16.2s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.1it/s 0.9s\n"," all 17 75 0.562 0.628 0.665 0.524\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 42/150 0G 1.319 1.808 0.009047 10 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 16.2s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.524 0.576 0.652 0.51\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 43/150 0G 1.273 1.715 0.009011 7 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 16.0s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.561 0.568 0.664 0.516\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 44/150 0G 1.269 2.032 0.009164 4 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.8s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.5it/s 0.7s\n"," all 17 75 0.618 0.601 0.708 0.554\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 45/150 0G 1.293 1.779 0.008617 27 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 16.0s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.597 0.589 0.698 0.546\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 46/150 0G 1.263 1.735 0.008664 4 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 16.0s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.619 0.621 0.699 0.56\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 47/150 0G 1.27 1.855 0.008881 1 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.9s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.2it/s 0.9s\n"," all 17 75 0.599 0.624 0.687 0.541\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 48/150 0G 1.326 1.769 0.009024 11 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 16.1s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.1it/s 0.9s\n"," all 17 75 0.628 0.619 0.692 0.558\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 49/150 0G 1.154 1.652 0.008307 6 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.8s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.608 0.631 0.686 0.55\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 50/150 0G 1.257 1.679 0.009051 5 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.9s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.641 0.616 0.706 0.561\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 51/150 0G 1.193 1.628 0.008409 4 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.9s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.5it/s 0.6s\n"," all 17 75 0.632 0.612 0.703 0.567\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 52/150 0G 1.299 1.721 0.008794 5 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.8s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.635 0.589 0.716 0.575\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 53/150 0G 1.368 1.668 0.01149 5 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.8s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.663 0.626 0.72 0.579\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 54/150 0G 1.211 1.549 0.008286 7 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.8s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.2it/s 0.9s\n"," all 17 75 0.68 0.631 0.73 0.578\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 55/150 0G 1.183 1.5 0.007946 10 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 16.2s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.1it/s 0.9s\n"," all 17 75 0.673 0.623 0.724 0.557\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 56/150 0G 1.261 1.671 0.008693 2 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 16.3s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.675 0.596 0.736 0.581\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 57/150 0G 1.502 1.874 0.01445 3 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.9s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.674 0.617 0.742 0.587\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 58/150 0G 1.253 1.539 0.008877 10 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 16.1s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.689 0.598 0.765 0.615\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 59/150 0G 1.154 1.506 0.008374 5 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.7s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.698 0.588 0.774 0.622\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 60/150 0G 1.211 1.529 0.00862 5 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.8s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.693 0.687 0.794 0.632\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 61/150 0G 1.18 1.518 0.00794 13 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.8s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.724 0.679 0.803 0.657\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 62/150 0G 1.184 1.466 0.008104 7 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 16.1s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.1it/s 0.9s\n"," all 17 75 0.694 0.705 0.809 0.668\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 63/150 0G 1.192 1.457 0.007915 9 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 16.2s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.1it/s 0.9s\n"," all 17 75 0.662 0.694 0.795 0.638\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 64/150 0G 1.206 1.444 0.008501 8 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 16.0s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.642 0.69 0.792 0.643\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 65/150 0G 1.281 1.654 0.008895 1 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.7s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.718 0.635 0.779 0.641\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 66/150 0G 1.16 1.407 0.007746 8 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.9s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.583 0.741 0.788 0.63\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 67/150 0G 1.167 1.431 0.00795 8 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.9s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.641 0.781 0.806 0.638\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 68/150 0G 1.246 1.478 0.008224 11 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.7s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.5it/s 0.6s\n"," all 17 75 0.607 0.781 0.789 0.627\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 69/150 0G 1.193 1.391 0.008041 12 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 16.0s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.1it/s 0.9s\n"," all 17 75 0.614 0.77 0.793 0.64\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 70/150 0G 1.27 1.531 0.008765 3 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 16.0s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.1it/s 0.9s\n"," all 17 75 0.67 0.73 0.796 0.633\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 71/150 0G 1.265 1.532 0.008495 14 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 16.0s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.4it/s 0.7s\n"," all 17 75 0.669 0.725 0.793 0.627\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 72/150 0G 1.162 1.347 0.008922 4 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.7s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.63 0.689 0.775 0.618\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 73/150 0G 1.24 1.411 0.008322 6 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.8s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.624 0.7 0.768 0.626\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 74/150 0G 1.191 1.426 0.008126 6 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.8s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.688 0.725 0.775 0.628\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 75/150 0G 1.069 1.401 0.007004 0 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 16.0s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.674 0.733 0.778 0.64\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 76/150 0G 1.157 1.335 0.007777 15 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.8s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.63 0.75 0.784 0.65\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 77/150 0G 1.173 1.34 0.007767 15 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 16.0s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.1it/s 0.9s\n"," all 17 75 0.642 0.68 0.78 0.646\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 78/150 0G 1.19 1.495 0.008464 2 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 16.1s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.1it/s 0.9s\n"," all 17 75 0.69 0.746 0.789 0.647\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 79/150 0G 1.237 1.448 0.00881 5 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 16.0s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.697 0.731 0.792 0.64\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 80/150 0G 1.266 1.406 0.008557 10 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.9s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.671 0.751 0.789 0.64\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 81/150 0G 1.133 1.32 0.008034 12 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 16.2s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.5it/s 0.7s\n"," all 17 75 0.67 0.738 0.796 0.648\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 82/150 0G 1.139 1.378 0.007482 4 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.9s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.5it/s 0.7s\n"," all 17 75 0.618 0.753 0.808 0.665\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 83/150 0G 1.198 1.335 0.00789 4 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.7s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.845 0.615 0.805 0.659\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 84/150 0G 1.176 1.465 0.008448 5 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.8s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.5it/s 0.7s\n"," all 17 75 0.789 0.665 0.813 0.66\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 85/150 0G 1.196 1.379 0.007785 12 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 16.0s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.1it/s 0.9s\n"," all 17 75 0.78 0.678 0.818 0.672\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 86/150 0G 1.113 1.406 0.007909 5 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 16.2s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.1it/s 0.9s\n"," all 17 75 0.682 0.748 0.833 0.69\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 87/150 0G 1.272 1.385 0.009943 2 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.7s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.676 0.705 0.825 0.68\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 88/150 0G 1.137 1.237 0.007499 10 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.8s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.652 0.777 0.82 0.668\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 89/150 0G 1.119 1.298 0.00753 6 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.7s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.671 0.755 0.821 0.67\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 90/150 0G 1.193 1.326 0.008338 7 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.9s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.653 0.757 0.821 0.67\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 91/150 0G 1.105 1.257 0.007879 14 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.7s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.65 0.792 0.837 0.692\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 92/150 0G 1.166 1.316 0.008074 11 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.7s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.2it/s 0.8s\n"," all 17 75 0.633 0.809 0.827 0.679\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 93/150 0G 1.161 1.351 0.008168 1 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 16.0s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.1it/s 0.9s\n"," all 17 75 0.694 0.743 0.826 0.678\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 94/150 0G 1.235 1.322 0.008166 6 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 16.1s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.2it/s 0.8s\n"," all 17 75 0.71 0.748 0.831 0.68\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 95/150 0G 1.223 1.493 0.00945 4 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.7s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.711 0.75 0.83 0.677\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 96/150 0G 1.173 1.256 0.008557 6 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.7s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.708 0.746 0.835 0.692\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 97/150 0G 1.243 1.331 0.008754 4 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.8s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.828 0.705 0.837 0.69\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 98/150 0G 1.168 1.225 0.007933 9 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.8s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.776 0.699 0.835 0.677\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 99/150 0G 1.196 1.334 0.008214 11 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.7s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.634 0.766 0.838 0.685\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 100/150 0G 1.208 1.309 0.008219 7 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.7s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.3it/s 0.8s\n"," all 17 75 0.74 0.723 0.831 0.67\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 101/150 0G 1.188 1.367 0.008672 3 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 16.0s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.1it/s 0.9s\n"," all 17 75 0.772 0.698 0.841 0.673\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 102/150 0G 1.111 1.187 0.007605 6 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 16.1s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.3it/s 0.8s\n"," all 17 75 0.764 0.722 0.837 0.671\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 103/150 0G 1.228 1.314 0.009863 7 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.7s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.5it/s 0.6s\n"," all 17 75 0.778 0.729 0.83 0.665\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 104/150 0G 1.108 1.286 0.007755 6 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.9s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.762 0.721 0.828 0.673\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 105/150 0G 1.132 1.183 0.007941 5 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.7s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.645 0.749 0.827 0.663\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 106/150 0G 1.241 1.361 0.007721 3 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.8s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.762 0.715 0.829 0.675\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 107/150 0G 1.146 1.226 0.007487 12 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 16.0s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.651 0.729 0.831 0.673\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 108/150 0G 1.146 1.256 0.007985 8 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 16.1s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.1it/s 0.9s\n"," all 17 75 0.63 0.767 0.832 0.67\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 109/150 0G 1.103 1.151 0.007995 4 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 16.0s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.1it/s 0.9s\n"," all 17 75 0.659 0.747 0.833 0.676\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 110/150 0G 1.102 1.191 0.007293 12 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.8s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.3it/s 0.7s\n"," all 17 75 0.683 0.751 0.833 0.684\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 111/150 0G 1.173 1.406 0.007538 1 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.7s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.681 0.769 0.83 0.686\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 112/150 0G 1.163 1.317 0.007977 3 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.8s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.689 0.768 0.84 0.688\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 113/150 0G 1.204 1.199 0.007864 4 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 16.0s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.691 0.775 0.841 0.69\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 114/150 0G 1.213 1.328 0.00809 1 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 16.0s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.711 0.746 0.843 0.68\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 115/150 0G 1.162 1.229 0.007803 8 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.9s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.689 0.765 0.846 0.682\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 116/150 0G 1.111 1.165 0.007761 16 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 16.1s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.1it/s 0.9s\n"," all 17 75 0.671 0.751 0.842 0.689\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 117/150 0G 1.122 1.177 0.00744 11 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 16.0s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.1it/s 0.9s\n"," all 17 75 0.659 0.774 0.838 0.683\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 118/150 0G 1.073 1.261 0.00698 2 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.9s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.798 0.693 0.835 0.677\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 119/150 0G 1.146 1.28 0.007508 17 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.9s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.788 0.692 0.834 0.68\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 120/150 0G 1.177 1.212 0.008037 11 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.8s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.771 0.706 0.839 0.69\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 121/150 0G 1.094 1.201 0.00724 6 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.7s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.763 0.724 0.841 0.689\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 122/150 0G 1.08 1.243 0.008563 5 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.7s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.77 0.725 0.832 0.689\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 123/150 0G 1.109 1.164 0.007446 14 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.7s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.767 0.726 0.833 0.691\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 124/150 0G 1.126 1.225 0.007704 1 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.9s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.1it/s 0.9s\n"," all 17 75 0.648 0.815 0.844 0.692\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 125/150 0G 1.099 1.263 0.008046 5 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.8s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.1it/s 0.9s\n"," all 17 75 0.661 0.767 0.847 0.699\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 126/150 0G 1.159 1.237 0.007424 8 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 16.0s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.687 0.799 0.855 0.703\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 127/150 0G 1.154 1.209 0.008269 8 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.9s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.664 0.798 0.852 0.696\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 128/150 0G 1.152 1.242 0.007441 18 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 16.0s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.694 0.779 0.847 0.695\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 129/150 0G 1.099 1.153 0.007546 5 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.9s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.681 0.754 0.845 0.696\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 130/150 0G 1.12 1.19 0.007333 7 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 16.0s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.5it/s 0.6s\n"," all 17 75 0.651 0.778 0.849 0.695\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 131/150 0G 1.073 1.234 0.007268 3 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 16.0s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.3it/s 0.8s\n"," all 17 75 0.655 0.782 0.851 0.699\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 132/150 0G 1.095 1.187 0.007267 6 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 16.1s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.1it/s 0.9s\n"," all 17 75 0.787 0.743 0.847 0.697\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 133/150 0G 1.094 1.243 0.007689 18 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 16.2s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.2it/s 0.8s\n"," all 17 75 0.787 0.745 0.844 0.698\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 134/150 0G 1.177 1.175 0.008522 4 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.8s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.5it/s 0.7s\n"," all 17 75 0.794 0.74 0.854 0.706\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 135/150 0G 1.117 1.137 0.007524 12 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.8s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.794 0.74 0.854 0.704\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 136/150 0G 1.149 1.199 0.007907 10 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 16.0s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.607 0.834 0.845 0.699\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 137/150 0G 1.116 1.149 0.007987 5 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.9s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.623 0.809 0.846 0.702\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 138/150 0G 1.077 1.132 0.007117 4 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.9s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.589 0.798 0.845 0.702\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 139/150 0G 1.146 1.218 0.007264 6 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.7s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.1it/s 0.9s\n"," all 17 75 0.597 0.826 0.843 0.703\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 140/150 0G 1.18 1.335 0.008519 5 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 16.5s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.2it/s 0.9s\n"," all 17 75 0.6 0.782 0.84 0.696\n","Closing dataloader mosaic\n","\u001b[34m\u001b[1malbumentations: \u001b[0mBlur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01, method='weighted_average', num_output_channels=3), CLAHE(p=0.01, clip_limit=(1.0, 4.0), tile_grid_size=(8, 8))\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 141/150 0G 1.088 1.285 0.008541 3 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.8s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.755 0.713 0.836 0.692\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 142/150 0G 0.9403 1.265 0.007861 4 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.8s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.639 0.723 0.829 0.673\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 143/150 0G 1.004 1.188 0.007887 4 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.7s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.667 0.694 0.819 0.662\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 144/150 0G 0.9398 1.276 0.007755 1 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.5s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.647 0.726 0.803 0.642\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 145/150 0G 0.8837 1.114 0.006939 1 224: 100% ━━━━━━━━━━━━ 10/10 1.5s/it 15.4s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.604 0.765 0.802 0.639\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 146/150 0G 1.033 1.451 0.008285 2 224: 100% ━━━━━━━━━━━━ 10/10 1.5s/it 15.4s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.66 0.704 0.781 0.619\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 147/150 0G 1.079 1.153 0.008135 5 224: 100% ━━━━━━━━━━━━ 10/10 1.5s/it 15.5s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.6it/s 0.6s\n"," all 17 75 0.663 0.702 0.784 0.62\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 148/150 0G 0.9641 1.073 0.007441 9 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.8s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.1it/s 0.9s\n"," all 17 75 0.652 0.719 0.778 0.611\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 149/150 0G 1.062 1.188 0.009011 2 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.7s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.1it/s 0.9s\n"," all 17 75 0.638 0.7 0.777 0.61\n","\n"," Epoch GPU_mem box_loss cls_loss l1_loss Instances Size\n","\u001b[K 150/150 0G 1.058 1.214 0.007826 4 224: 100% ━━━━━━━━━━━━ 10/10 1.6s/it 15.6s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.2it/s 0.9s\n"," all 17 75 0.667 0.699 0.77 0.602\n","\n","150 epochs completed in 0.714 hours.\n","Optimizer stripped from /content/runs/detect/train/weights/last.pt, 5.4MB\n","Optimizer stripped from /content/runs/detect/train/weights/best.pt, 5.4MB\n","\n","Validating /content/runs/detect/train/weights/best.pt...\n","Ultralytics 8.4.115 🚀 Python-3.12.13 torch-2.11.0+cpu CPU (Intel Xeon CPU @ 2.20GHz)\n","YOLO26n summary (fused): 122 layers, 2,376,981 parameters, 0 gradients, 5.3 GFLOPs\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 1/1 1.9it/s 0.5s\n"," all 17 75 0.794 0.74 0.854 0.706\n"," MMs_peanut 4 4 0.743 0.73 0.849 0.755\n"," MMs_regular 5 5 0.478 0.6 0.767 0.651\n"," airheads 14 22 0.839 0.864 0.895 0.765\n"," gummy_worms 6 6 0.843 0.898 0.972 0.836\n"," milky_way 5 7 0.96 0.714 0.924 0.698\n"," nerds 6 6 1 0.956 0.995 0.793\n"," skittles 7 7 1 0.944 0.995 0.888\n"," snickers 2 2 0.517 1 0.995 0.797\n"," starbust 7 7 0.827 0.685 0.913 0.706\n"," three_musketeers 5 5 1 0 0.249 0.185\n"," twizzlers 4 4 0.53 0.75 0.836 0.692\n","Speed: 0.2ms preprocess, 21.1ms inference, 0.0ms loss, 0.1ms postprocess per image\n","Results saved to \u001b[1m/content/runs/detect/train\u001b[0m\n"]}],"source":["results = model.train(\n"," data=DATASET,\n"," epochs=EPOCHS,\n"," imgsz=IMGSZ,\n"," plots=True\n",")"]},{"cell_type":"markdown","id":"07ae87db","metadata":{"id":"07ae87db"},"source":["# 4. Validate the Trained Model\n","\n","Validation measures how well the model performs on held-out validation images. The summary table below reports the most important detection metrics:\n","\n","- `mAP@50`: mean average precision at IoU 0.50\n","- `mAP@50-95`: stricter COCO-style mAP averaged across IoU thresholds\n","- `Precision`: how often predicted boxes are correct\n","- `Recall`: how many target objects are found\n","- `Inference Speed`: approximate per-image inference time reported by Ultralytics\n"]},{"cell_type":"code","source":["!rm -rf /content/runs/detect/val"],"metadata":{"id":"vfXS3tWePycL","executionInfo":{"status":"ok","timestamp":1786005912925,"user_tz":-480,"elapsed":105,"user":{"displayName":"Carla Guo","userId":"14063917280599231222"}}},"id":"vfXS3tWePycL","execution_count":27,"outputs":[]},{"cell_type":"code","execution_count":28,"id":"1e1aae3e","metadata":{"id":"1e1aae3e","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1786005928393,"user_tz":-480,"elapsed":4623,"user":{"displayName":"Carla Guo","userId":"14063917280599231222"}},"outputId":"8ecae1bb-04a0-4ae1-ab6a-51450e136a23"},"outputs":[{"output_type":"stream","name":"stdout","text":["Ultralytics 8.4.115 🚀 Python-3.12.13 torch-2.11.0+cpu CPU (Intel Xeon CPU @ 2.20GHz)\n","\u001b[34m\u001b[1mval: \u001b[0mFast image access ✅ (ping: 0.0±0.0 ms, read: 3033.2±593.2 MB/s, size: 247.4 KB)\n","\u001b[K\u001b[34m\u001b[1mval: \u001b[0mScanning /content/custom_data/data/validation/labels.cache... 17 images, 0 backgrounds, 0 corrupt: 100% ━━━━━━━━━━━━ 17/17 4.0Mit/s 0.0s\n","\u001b[K Class Images Instances Box(P R mAP50 mAP50-95): 100% ━━━━━━━━━━━━ 2/2 2.4it/s 0.8s\n"," all 17 75 0.794 0.74 0.854 0.706\n"," MMs_peanut 4 4 0.743 0.73 0.849 0.755\n"," MMs_regular 5 5 0.478 0.6 0.767 0.651\n"," airheads 14 22 0.839 0.864 0.895 0.765\n"," gummy_worms 6 6 0.843 0.898 0.972 0.836\n"," milky_way 5 7 0.96 0.714 0.924 0.698\n"," nerds 6 6 1 0.956 0.995 0.793\n"," skittles 7 7 1 0.944 0.995 0.888\n"," snickers 2 2 0.517 1 0.995 0.797\n"," starbust 7 7 0.827 0.685 0.913 0.706\n"," three_musketeers 5 5 1 0 0.249 0.185\n"," twizzlers 4 4 0.53 0.75 0.836 0.692\n","Speed: 0.3ms preprocess, 36.8ms inference, 0.0ms loss, 0.1ms postprocess per image\n","Results saved to \u001b[1m/content/runs/detect/val\u001b[0m\n"]}],"source":["import pandas as pd\n","metrics = model.val(\n"," data=DATASET,\n"," imgsz=IMGSZ\n",")\n","\n","summary = pd.DataFrame({\n"," \"Metric\": [\"mAP@50\", \"mAP@50-95\", \"Precision\", \"Recall\", \"Inference Speed (ms)\"],\n"," \"Score\": [\n"," round(metrics.box.map50, 4),\n"," round(metrics.box.map, 4),\n"," round(metrics.box.mp, 4),\n"," round(metrics.box.mr, 4),\n"," round(metrics.speed['inference'], 2)\n"," ]\n","})"]},{"cell_type":"markdown","id":"71027253","metadata":{"id":"71027253"},"source":["Display the validation metrics as a compact table.\n"]},{"cell_type":"code","execution_count":29,"id":"c04c93b1","metadata":{"id":"c04c93b1","colab":{"base_uri":"https://localhost:8080/","height":206},"executionInfo":{"status":"ok","timestamp":1786005935229,"user_tz":-480,"elapsed":39,"user":{"displayName":"Carla Guo","userId":"14063917280599231222"}},"outputId":"002ca20f-d134-418a-dd19-2448728d0166"},"outputs":[{"output_type":"display_data","data":{"text/plain":[" Metric Score\n","0 mAP@50 0.8537\n","1 mAP@50-95 0.7060\n","2 Precision 0.7941\n","3 Recall 0.7401\n","4 Inference Speed (ms) 36.7900"],"text/html":["\n","
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MetricScore
0mAP@500.8537
1mAP@50-950.7060
2Precision0.7941
3Recall0.7401
4Inference Speed (ms)36.7900
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\n"],"application/vnd.google.colaboratory.intrinsic+json":{"type":"dataframe","variable_name":"summary","summary":"{\n \"name\": \"summary\",\n \"rows\": 5,\n \"fields\": [\n {\n \"column\": \"Metric\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 5,\n \"samples\": [\n \"mAP@50-95\",\n \"Inference Speed (ms)\",\n \"Precision\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Score\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 16.107176868309356,\n \"min\": 0.706,\n \"max\": 36.79,\n \"num_unique_values\": 5,\n \"samples\": [\n 0.706,\n 36.79,\n 0.7941\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}"}},"metadata":{}}],"source":["display(summary)"]},{"cell_type":"markdown","id":"f055d991","metadata":{"id":"f055d991"},"source":["# 5. Preview a Prediction\n","\n","Before exporting, run the trained model on a single validation image and display the annotated result. This is a quick visual sanity check: the boxes should be in the right places, class labels should make sense, and confidence scores should not be obviously suspicious.\n","\n","Install Matplotlib if it is missing from the current environment.\n"]},{"cell_type":"code","execution_count":30,"id":"aaf81212","metadata":{"id":"aaf81212","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1786005942054,"user_tz":-480,"elapsed":210,"user":{"displayName":"Carla Guo","userId":"14063917280599231222"}},"outputId":"d1732910-9b1d-42f9-b368-0de9d4e10b3c"},"outputs":[{"output_type":"stream","name":"stdout","text":["\u001b[2mUsing Python 3.12.13 environment at: /usr\u001b[0m\n","\u001b[2mChecked \u001b[1m1 package\u001b[0m \u001b[2min 85ms\u001b[0m\u001b[0m\n"]}],"source":["!uv pip install matplotlib"]},{"cell_type":"markdown","id":"b36bf195","metadata":{"id":"b36bf195"},"source":["Load plotting utilities and render one prediction.\n","\n","If this cell raises `FileNotFoundError` or shows a blank image, update `TEST_IMAGE_PATH` in Section 2.\n"]},{"cell_type":"code","execution_count":31,"id":"4044568d","metadata":{"id":"4044568d","executionInfo":{"status":"ok","timestamp":1786005945202,"user_tz":-480,"elapsed":3,"user":{"displayName":"Carla Guo","userId":"14063917280599231222"}}},"outputs":[],"source":["import matplotlib.pyplot as plt\n","import cv2\n","\n","%matplotlib inline"]},{"cell_type":"code","execution_count":32,"id":"95dc701b","metadata":{"id":"95dc701b","colab":{"base_uri":"https://localhost:8080/","height":670},"executionInfo":{"status":"ok","timestamp":1786005950675,"user_tz":-480,"elapsed":1186,"user":{"displayName":"Carla Guo","userId":"14063917280599231222"}},"outputId":"674a177f-7aa6-4040-9044-a81533e14d1a"},"outputs":[{"output_type":"stream","name":"stdout","text":["\n","image 1/1 /content/custom_data/data/validation/images/abefaafa-candy_112.jpg: 192x224 1 MMs_regular, 2 airheadss, 1 milky_way, 1 nerds, 38.5ms\n","Speed: 0.9ms preprocess, 38.5ms inference, 0.6ms postprocess per image at shape (1, 3, 192, 224)\n"]},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}}],"source":["results = model.predict(source=TEST_IMAGE_PATH, imgsz=IMGSZ, conf=0.25)\n","\n","annotated_img = results[0].plot()\n","\n","plt.figure(figsize=(10, 10))\n","plt.imshow(cv2.cvtColor(annotated_img, cv2.COLOR_BGR2RGB))\n","plt.axis('off')\n","plt.show()"]},{"cell_type":"markdown","id":"9d4c999b","metadata":{"id":"9d4c999b"},"source":["# 6. Export the Model\n","\n","This section exports the trained YOLO model for deployment. It is intentionally separated from training because TensorFlow, ONNX, and TFLite conversion can be sensitive to package state.\n","\n","**Recommended workflow:**\n","\n","1. Restart the Jupyter kernel after training.\n","2. Re-run Section 2: common imports and path settings.\n","3. Update `BEST_MODEL_PATH` to point to the trained `best.pt` checkpoint.\n","4. Run the export cells in this section from top to bottom.\n","\n","The export path uses CPU by default for repeatability. You can change the device later if your environment supports GPU export reliably.\n"]},{"cell_type":"markdown","id":"d7d63783","metadata":{"id":"d7d63783"},"source":["Compatibility patch for NumPy-dependent export tooling.\n","\n","Some conversion stacks expect `np._no_nep50_warning` to exist. This small shim keeps the exporter from failing in environments where that internal helper is absent.\n"]},{"cell_type":"code","execution_count":33,"id":"7a52a834","metadata":{"id":"7a52a834","executionInfo":{"status":"ok","timestamp":1786005965776,"user_tz":-480,"elapsed":37,"user":{"displayName":"Carla Guo","userId":"14063917280599231222"}}},"outputs":[],"source":["import numpy as np\n","\n","def dummy_npwarn_decorator_factory():\n"," def npwarn_decorator(x):\n"," return x\n"," return npwarn_decorator\n","\n","np._no_nep50_warning = getattr(np, '_no_nep50_warning', dummy_npwarn_decorator_factory)"]},{"cell_type":"markdown","id":"d1d0686e","metadata":{"id":"d1d0686e"},"source":["Choose the export device.\n","\n","Using `configure_device(\"cpu\")` hides CUDA from Torch/TensorFlow/ONNX Runtime and avoids accidental GPU-specific conversion behavior. For most deployment exports, CPU conversion is slower but more predictable.\n"]},{"cell_type":"code","execution_count":34,"id":"f3fc5c59","metadata":{"id":"f3fc5c59","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1786005977229,"user_tz":-480,"elapsed":22,"user":{"displayName":"Carla Guo","userId":"14063917280599231222"}},"outputId":"952381de-da2d-49b1-bb0b-24d96cc12001"},"outputs":[{"output_type":"stream","name":"stdout","text":["device: CPU (CUDA hidden via CUDA_VISIBLE_DEVICES=-1)\n"]}],"source":["import os\n","\n","def configure_device(device: str) -> str:\n"," d = str(device).strip().lower()\n"," if d in (\"cpu\", \"-1\", \"\", \"none\"):\n"," os.environ[\"CUDA_VISIBLE_DEVICES\"] = \"-1\" # hide CUDA from torch/tf/onnxruntime\n"," print(\"device: CPU (CUDA hidden via CUDA_VISIBLE_DEVICES=-1)\")\n"," return \"cpu\"\n"," print(f\"device: {device} (GPU visible; export still runs the CPU onnx2tf path)\")\n"," return device\n","\n","DEV = configure_device(\"cpu\")"]},{"cell_type":"markdown","id":"6e3d00bb","metadata":{"id":"6e3d00bb"},"source":["Choose the int8 quantization type.\n","\n","- `per-channel` usually gives better accuracy for convolution-heavy models.\n","- `per-tensor` can be useful when a target runtime has stricter operator support.\n","\n","Start with `per-channel` unless your deployment target requires otherwise.\n"]},{"cell_type":"code","execution_count":35,"id":"13d211d5","metadata":{"id":"13d211d5","executionInfo":{"status":"ok","timestamp":1786005982829,"user_tz":-480,"elapsed":2,"user":{"displayName":"Carla Guo","userId":"14063917280599231222"}}},"outputs":[],"source":["QUANT_TYPE = \"per-channel\" # \"per-channel\" or \"per-tensor\""]},{"cell_type":"markdown","id":"ba611cee","metadata":{"id":"ba611cee"},"source":["Patch `onnx2tf.convert` so Ultralytics export passes the selected quantization type into the ONNX-to-TensorFlow conversion step.\n"]},{"cell_type":"code","source":["!uv pip install sng4onnx"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"M5Di1DxEQbXS","executionInfo":{"status":"ok","timestamp":1786006075040,"user_tz":-480,"elapsed":519,"user":{"displayName":"Carla Guo","userId":"14063917280599231222"}},"outputId":"723339cf-2790-478e-d440-a84be2e766be"},"id":"M5Di1DxEQbXS","execution_count":37,"outputs":[{"output_type":"stream","name":"stdout","text":["\u001b[2mUsing Python 3.12.13 environment at: /usr\u001b[0m\n","\u001b[2K\u001b[2mResolved \u001b[1m1 package\u001b[0m \u001b[2min 331ms\u001b[0m\u001b[0m\n","\u001b[2K\u001b[2mPrepared \u001b[1m1 package\u001b[0m \u001b[2min 36ms\u001b[0m\u001b[0m\n","\u001b[2K\u001b[2mInstalled \u001b[1m1 package\u001b[0m \u001b[2min 3ms\u001b[0m\u001b[0m\n"," \u001b[32m+\u001b[39m \u001b[1msng4onnx\u001b[0m\u001b[2m==2.0.1\u001b[0m\n"]}]},{"cell_type":"code","execution_count":38,"id":"52b4864e","metadata":{"id":"52b4864e","executionInfo":{"status":"ok","timestamp":1786006077445,"user_tz":-480,"elapsed":36,"user":{"displayName":"Carla Guo","userId":"14063917280599231222"}}},"outputs":[],"source":["import onnx2tf\n","\n","_orig_convert = getattr(onnx2tf, \"_orig_convert\", onnx2tf.convert)\n","onnx2tf._orig_convert = _orig_convert\n","\n","def _convert_with_quant_type(*a, _orig=_orig_convert, _qt=QUANT_TYPE, **k):\n"," k[\"quant_type\"] = _qt\n"," return _orig(*a, **k)\n","\n","onnx2tf.convert = _convert_with_quant_type"]},{"cell_type":"markdown","id":"1a01bb3a","metadata":{"id":"1a01bb3a"},"source":["Patch the YOLO Detect export behavior to use the TensorFlow decode-box implementation provided by Ultralytics.\n"]},{"cell_type":"code","execution_count":39,"id":"744872fe","metadata":{"id":"744872fe","executionInfo":{"status":"ok","timestamp":1786006080459,"user_tz":-480,"elapsed":36,"user":{"displayName":"Carla Guo","userId":"14063917280599231222"}}},"outputs":[],"source":["from ultralytics.nn.modules import Detect\n","from ultralytics.utils.export import tensorflow as tf_export"]},{"cell_type":"code","execution_count":40,"id":"b80928aa","metadata":{"id":"b80928aa","executionInfo":{"status":"ok","timestamp":1786006082290,"user_tz":-480,"elapsed":15,"user":{"displayName":"Carla Guo","userId":"14063917280599231222"}}},"outputs":[],"source":["Detect._get_decode_boxes = tf_export._tf_decode_boxes"]},{"cell_type":"markdown","id":"b23e163b","metadata":{"id":"b23e163b"},"source":["Point `BEST_MODEL_PATH` at the checkpoint you want to export.\n","\n","After a new training run, update this path to the correct folder under `runs/detect/`. For example:\n","\n","```python\n","BEST_MODEL_PATH = \"runs/detect/train/weights/best.pt\"\n","```\n"]},{"cell_type":"code","execution_count":41,"id":"64322a35","metadata":{"id":"64322a35","executionInfo":{"status":"ok","timestamp":1786006087127,"user_tz":-480,"elapsed":3,"user":{"displayName":"Carla Guo","userId":"14063917280599231222"}}},"outputs":[],"source":["BEST_MODEL_PATH = \"runs/detect/train/weights/best.pt\" # Remember to update the path"]},{"cell_type":"markdown","id":"bc08dac9","metadata":{"id":"bc08dac9"},"source":["Load the trained model checkpoint and make sure the detection head is exported in the expected non-end-to-end form.\n"]},{"cell_type":"code","execution_count":42,"id":"1fb8f941","metadata":{"id":"1fb8f941","executionInfo":{"status":"ok","timestamp":1786006090894,"user_tz":-480,"elapsed":73,"user":{"displayName":"Carla Guo","userId":"14063917280599231222"}}},"outputs":[],"source":["model = YOLO(BEST_MODEL_PATH)"]},{"cell_type":"code","execution_count":43,"id":"1501ea41","metadata":{"id":"1501ea41","executionInfo":{"status":"ok","timestamp":1786006093556,"user_tz":-480,"elapsed":6,"user":{"displayName":"Carla Guo","userId":"14063917280599231222"}}},"outputs":[],"source":["model.model.model[-1].end2end = False"]},{"cell_type":"markdown","id":"922a28ad","metadata":{"id":"922a28ad"},"source":["Optional architecture check before export.\n"]},{"cell_type":"code","execution_count":44,"id":"f7281350","metadata":{"id":"f7281350","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1786006097484,"user_tz":-480,"elapsed":52,"user":{"displayName":"Carla Guo","userId":"14063917280599231222"}},"outputId":"db5af463-ab4d-4cc8-a0db-a8e45f0046dc"},"outputs":[{"output_type":"stream","name":"stdout","text":["\n"]}],"source":["print(model.model.modules)"]},{"cell_type":"markdown","id":"f19ddac9","metadata":{"id":"f19ddac9"},"source":["Run the export.\n","\n","This creates a TensorFlow SavedModel directory and related deployment files. With `quantize=\"int8\"`, the exporter also produces a full-integer quantized TFLite model using calibration data from `DATASET`.\n"]},{"cell_type":"code","execution_count":45,"id":"14f7c5be","metadata":{"id":"14f7c5be","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1786006194188,"user_tz":-480,"elapsed":90158,"user":{"displayName":"Carla Guo","userId":"14063917280599231222"}},"outputId":"375e5cc9-429f-4a31-dc00-4fea2b7e74b3"},"outputs":[{"output_type":"stream","name":"stdout","text":["Ultralytics 8.4.115 🚀 Python-3.12.13 torch-2.11.0+cpu CPU (Intel Xeon CPU @ 2.20GHz)\n","💡 ProTip: Export to OpenVINO format for best performance on Intel hardware. Learn more at https://docs.ultralytics.com/integrations/openvino/\n","YOLO26n summary (fused): 146 layers, 2,498,594 parameters, 0 gradients, 0.6 GFLOPs\n","\n","\u001b[34m\u001b[1mPyTorch:\u001b[0m starting from 'runs/detect/train/weights/best.pt' with input shape (1, 3, 224, 224) BCHW and output shape(s) (1, 15, 1029) (5.1 MB)\n","\u001b[34m\u001b[1mTensorFlow SavedModel:\u001b[0m collecting INT8 calibration images from 'data=/content/custom_data/data.yaml'\n","\u001b[34m\u001b[1mval: \u001b[0mFast image access ✅ (ping: 0.0±0.0 ms, read: 2364.4±556.0 MB/s, size: 295.1 KB)\n","\u001b[K\u001b[34m\u001b[1mval: \u001b[0mScanning /content/custom_data/data/validation/labels.cache... 17 images, 0 backgrounds, 0 corrupt: 100% ━━━━━━━━━━━━ 17/17 3.1Mit/s 0.0s\n","WARNING ⚠️ \u001b[34m\u001b[1mTensorFlow SavedModel:\u001b[0m >300 images recommended for INT8 calibration, found 17 images.\n","\n","\u001b[34m\u001b[1mONNX:\u001b[0m starting export with onnx 1.22.0 opset 20...\n","\u001b[34m\u001b[1mONNX:\u001b[0m slimming with onnxslim 0.1.95...\n","\u001b[34m\u001b[1mONNX:\u001b[0m export success ✅ 3.7s, saved as 'runs/detect/train/weights/best.onnx' (9.2 MB)\n","\u001b[31m\u001b[1mrequirements:\u001b[0m Ultralytics requirement ['tf_keras<=2.19.0'] not found, attempting AutoUpdate...\n","Using Python 3.12.13 environment at: /usr\n","Resolved 38 packages in 4.04s\n","Prepared 3 packages in 34.75s\n","Uninstalled 3 packages in 2.25s\n","Installed 3 packages in 434ms\n"," - tensorboard==2.20.0\n"," + tensorboard==2.19.0\n"," - tensorflow==2.20.0\n"," + tensorflow==2.19.1\n"," - tf-keras==2.20.0\n"," + tf-keras==2.19.0\n","\n","\u001b[31m\u001b[1mrequirements:\u001b[0m AutoUpdate success ✅ 41.9s\n","WARNING ⚠️ \u001b[31m\u001b[1mrequirements:\u001b[0m \u001b[1mRestart runtime or rerun command for updates to take effect\u001b[0m\n","\n","\n","\u001b[34m\u001b[1mTensorFlow SavedModel:\u001b[0m starting export with tensorflow 2.20.0...\n","\u001b[KDownloading https://github.com/ultralytics/assets/releases/download/v8.4.0/calibration_image_sample_data_20x128x128x3_float32.npy.zip to 'calibration_image_sample_data_20x128x128x3_float32.npy.zip': 100% ━━━━━━━━━━━━ 1.1MB 9.4MB/s 0.1s\n","\u001b[KUnzipping calibration_image_sample_data_20x128x128x3_float32.npy.zip to /content/calibration_image_sample_data_20x128x128x3_float32.npy...: 100% ━━━━━━━━━━━━ 1/1 39.0files/s 0.0s\n","\u001b[34m\u001b[1mTensorFlow SavedModel:\u001b[0m starting TFLite export with onnx2tf 1.28.8...\n","Saved artifact at 'runs/detect/train/weights/best_saved_model'. The following endpoints are available:\n","\n","* Endpoint 'serving_default'\n"," inputs_0 (POSITIONAL_ONLY): TensorSpec(shape=(1, 224, 224, 3), dtype=tf.float32, name='images')\n","Output Type:\n"," TensorSpec(shape=(1, 15, 1029), dtype=tf.float32, name=None)\n","Captures:\n"," 133394912191184: TensorSpec(shape=(4, 2), dtype=tf.int32, name=None)\n"," 133394912189648: TensorSpec(shape=(3, 3, 3, 16), dtype=tf.float32, name=None)\n"," 133394912190416: TensorSpec(shape=(16,), dtype=tf.float32, name=None)\n"," 133394912192720: TensorSpec(shape=(4, 2), dtype=tf.int32, name=None)\n"," 133394912191760: TensorSpec(shape=(3, 3, 16, 32), dtype=tf.float32, name=None)\n"," 133394912192912: TensorSpec(shape=(32,), dtype=tf.float32, name=None)\n"," 133394912190992: TensorSpec(shape=(1, 1, 32, 32), dtype=tf.float32, name=None)\n"," 133394912193296: TensorSpec(shape=(32,), dtype=tf.float32, name=None)\n"," 133394912193104: TensorSpec(shape=(4,), dtype=tf.int64, name=None)\n"," 133394912186768: TensorSpec(shape=(4,), dtype=tf.int64, name=None)\n"," 133394912197328: TensorSpec(shape=(3, 3, 16, 8), dtype=tf.float32, name=None)\n"," 133394912198288: TensorSpec(shape=(8,), dtype=tf.float32, name=None)\n"," 133394912184656: TensorSpec(shape=(3, 3, 8, 16), dtype=tf.float32, name=None)\n"," 133394912195216: TensorSpec(shape=(16,), dtype=tf.float32, name=None)\n"," 133394912193488: TensorSpec(shape=(4,), dtype=tf.int64, name=None)\n"," 133394912195408: TensorSpec(shape=(4,), dtype=tf.int64, name=None)\n"," 133394912198096: TensorSpec(shape=(1, 1, 48, 64), dtype=tf.float32, name=None)\n"," 133394912197136: TensorSpec(shape=(64,), dtype=tf.float32, name=None)\n"," 133394912197712: TensorSpec(shape=(4, 2), dtype=tf.int32, name=None)\n"," 133394912195792: TensorSpec(shape=(3, 3, 64, 64), dtype=tf.float32, name=None)\n"," 133394900467792: TensorSpec(shape=(64,), dtype=tf.float32, name=None)\n"," 133394900468560: TensorSpec(shape=(1, 1, 64, 64), dtype=tf.float32, name=None)\n"," 133394900467984: TensorSpec(shape=(64,), dtype=tf.float32, name=None)\n"," 133394900468176: TensorSpec(shape=(4,), dtype=tf.int64, name=None)\n"," 133394900468752: TensorSpec(shape=(4,), dtype=tf.int64, name=None)\n"," 133394900470096: TensorSpec(shape=(3, 3, 32, 16), dtype=tf.float32, name=None)\n"," 133394900471056: TensorSpec(shape=(16,), dtype=tf.float32, name=None)\n"," 133394900468368: TensorSpec(shape=(3, 3, 16, 32), dtype=tf.float32, name=None)\n"," 133394900468944: TensorSpec(shape=(32,), dtype=tf.float32, name=None)\n"," 133394900469136: TensorSpec(shape=(4,), dtype=tf.int64, name=None)\n"," 133394900469520: TensorSpec(shape=(4,), dtype=tf.int64, name=None)\n"," 133394900471440: TensorSpec(shape=(1, 1, 96, 128), dtype=tf.float32, name=None)\n"," 133394900471248: TensorSpec(shape=(128,), dtype=tf.float32, name=None)\n"," 133394900470288: TensorSpec(shape=(4, 2), dtype=tf.int32, name=None)\n"," 133394900469712: TensorSpec(shape=(3, 3, 128, 128), dtype=tf.float32, name=None)\n"," 133394900470480: TensorSpec(shape=(128,), dtype=tf.float32, name=None)\n"," 133394900471824: TensorSpec(shape=(1, 1, 128, 128), dtype=tf.float32, name=None)\n"," 133394900471632: TensorSpec(shape=(128,), dtype=tf.float32, name=None)\n"," 133394900472400: TensorSpec(shape=(4,), dtype=tf.int64, name=None)\n"," 133394900472208: TensorSpec(shape=(4,), dtype=tf.int64, name=None)\n"," 133394900474512: TensorSpec(shape=(1, 1, 64, 32), dtype=tf.float32, name=None)\n"," 133394900474704: TensorSpec(shape=(32,), dtype=tf.float32, name=None)\n"," 133394900473936: TensorSpec(shape=(3, 3, 32, 32), dtype=tf.float32, name=None)\n"," 133394900475088: TensorSpec(shape=(32,), dtype=tf.float32, name=None)\n"," 133394900473552: TensorSpec(shape=(3, 3, 32, 32), dtype=tf.float32, name=None)\n"," 133394900474896: TensorSpec(shape=(32,), dtype=tf.float32, name=None)\n"," 133394900475280: TensorSpec(shape=(3, 3, 32, 32), dtype=tf.float32, name=None)\n"," 133394900475472: TensorSpec(shape=(32,), dtype=tf.float32, name=None)\n"," 133394900475664: TensorSpec(shape=(3, 3, 32, 32), dtype=tf.float32, name=None)\n"," 133394900472592: TensorSpec(shape=(1, 1, 64, 32), dtype=tf.float32, name=None)\n"," 133394900474128: TensorSpec(shape=(32,), dtype=tf.float32, name=None)\n"," 133394900472016: TensorSpec(shape=(32,), dtype=tf.float32, name=None)\n"," 133394900476240: TensorSpec(shape=(1, 1, 64, 64), dtype=tf.float32, name=None)\n"," 133394900476432: TensorSpec(shape=(64,), dtype=tf.float32, name=None)\n"," 133394900472784: TensorSpec(shape=(4,), dtype=tf.int64, name=None)\n"," 133394900472976: TensorSpec(shape=(4,), dtype=tf.int64, name=None)\n"," 133394900476048: TensorSpec(shape=(1, 1, 192, 128), dtype=tf.float32, name=None)\n"," 133394900476624: TensorSpec(shape=(128,), dtype=tf.float32, name=None)\n"," 133394900476816: TensorSpec(shape=(4, 2), dtype=tf.int32, name=None)\n"," 133394900475856: TensorSpec(shape=(3, 3, 128, 256), dtype=tf.float32, name=None)\n"," 133394900477200: TensorSpec(shape=(256,), dtype=tf.float32, name=None)\n"," 133394900477392: TensorSpec(shape=(1, 1, 256, 256), dtype=tf.float32, name=None)\n"," 133394900477008: TensorSpec(shape=(256,), dtype=tf.float32, name=None)\n"," 133394900477968: TensorSpec(shape=(4,), dtype=tf.int64, name=None)\n"," 133394900477776: TensorSpec(shape=(4,), dtype=tf.int64, name=None)\n"," 133394900480080: TensorSpec(shape=(1, 1, 128, 64), dtype=tf.float32, name=None)\n"," 133394900480272: TensorSpec(shape=(64,), dtype=tf.float32, name=None)\n"," 133394900479504: TensorSpec(shape=(3, 3, 64, 64), dtype=tf.float32, name=None)\n"," 133394900480656: TensorSpec(shape=(64,), dtype=tf.float32, name=None)\n"," 133394900479120: TensorSpec(shape=(3, 3, 64, 64), dtype=tf.float32, name=None)\n"," 133394900480464: TensorSpec(shape=(64,), dtype=tf.float32, name=None)\n"," 133394900480848: TensorSpec(shape=(3, 3, 64, 64), dtype=tf.float32, name=None)\n"," 133394900481040: TensorSpec(shape=(64,), dtype=tf.float32, name=None)\n"," 133394900481232: TensorSpec(shape=(3, 3, 64, 64), dtype=tf.float32, name=None)\n"," 133394900478160: TensorSpec(shape=(1, 1, 128, 64), dtype=tf.float32, name=None)\n"," 133394900479696: TensorSpec(shape=(64,), dtype=tf.float32, name=None)\n"," 133394900477584: TensorSpec(shape=(64,), dtype=tf.float32, name=None)\n"," 133394900481808: TensorSpec(shape=(1, 1, 128, 128), dtype=tf.float32, name=None)\n"," 133394900482000: TensorSpec(shape=(128,), dtype=tf.float32, name=None)\n"," 133394900478352: TensorSpec(shape=(4,), dtype=tf.int64, name=None)\n"," 133394900478544: TensorSpec(shape=(4,), dtype=tf.int64, name=None)\n"," 133394900481616: TensorSpec(shape=(1, 1, 384, 256), dtype=tf.float32, name=None)\n"," 133394900482192: TensorSpec(shape=(256,), dtype=tf.float32, name=None)\n"," 133394900481424: TensorSpec(shape=(1, 1, 256, 128), dtype=tf.float32, name=None)\n"," 133394900482384: TensorSpec(shape=(128,), dtype=tf.float32, name=None)\n"," 133394900482960: TensorSpec(shape=(1, 1, 512, 256), dtype=tf.float32, name=None)\n"," 133394900483152: TensorSpec(shape=(256,), dtype=tf.float32, name=None)\n"," 133394900482768: TensorSpec(shape=(1, 1, 256, 256), dtype=tf.float32, name=None)\n"," 133394900483728: TensorSpec(shape=(256,), dtype=tf.float32, name=None)\n"," 133394900482576: TensorSpec(shape=(1, 1, 128, 256), dtype=tf.float32, name=None)\n"," 133394900483920: TensorSpec(shape=(256,), dtype=tf.float32, name=None)\n"," 133394866309648: TensorSpec(shape=(), dtype=tf.resource, name=None)\n"," 133394900483536: TensorSpec(shape=(128,), dtype=tf.float32, name=None)\n"," 133394866313104: TensorSpec(shape=(1, 1, 128, 128), dtype=tf.float32, name=None)\n"," 133394866311952: TensorSpec(shape=(128,), dtype=tf.float32, name=None)\n"," 133394866310992: TensorSpec(shape=(1, 1, 128, 256), dtype=tf.float32, name=None)\n"," 133394866311184: TensorSpec(shape=(256,), dtype=tf.float32, name=None)\n"," 133394866311568: TensorSpec(shape=(1, 1, 256, 128), dtype=tf.float32, name=None)\n"," 133394866309264: TensorSpec(shape=(128,), dtype=tf.float32, name=None)\n"," 133394866310608: TensorSpec(shape=(1, 1, 256, 256), dtype=tf.float32, name=None)\n"," 133394866310800: TensorSpec(shape=(256,), dtype=tf.float32, name=None)\n"," 133394866312720: TensorSpec(shape=(1, 1, 384, 128), dtype=tf.float32, name=None)\n"," 133394866310032: TensorSpec(shape=(128,), dtype=tf.float32, name=None)\n"," 133394866313488: TensorSpec(shape=(4,), dtype=tf.int64, name=None)\n"," 133394866309072: TensorSpec(shape=(4,), dtype=tf.int64, name=None)\n"," 133394866313872: TensorSpec(shape=(1, 1, 64, 32), dtype=tf.float32, name=None)\n"," 133394866314256: TensorSpec(shape=(32,), dtype=tf.float32, name=None)\n"," 133394866314064: TensorSpec(shape=(3, 3, 32, 32), dtype=tf.float32, name=None)\n"," 133394866315024: TensorSpec(shape=(32,), dtype=tf.float32, name=None)\n"," 133394866313680: TensorSpec(shape=(3, 3, 32, 32), dtype=tf.float32, name=None)\n"," 133394866314832: TensorSpec(shape=(32,), dtype=tf.float32, name=None)\n"," 133394866315216: TensorSpec(shape=(3, 3, 32, 32), dtype=tf.float32, name=None)\n"," 133394866315408: TensorSpec(shape=(32,), dtype=tf.float32, name=None)\n"," 133394866315600: TensorSpec(shape=(3, 3, 32, 32), dtype=tf.float32, name=None)\n"," 133394866311760: TensorSpec(shape=(1, 1, 64, 32), dtype=tf.float32, name=None)\n"," 133394866312528: TensorSpec(shape=(32,), dtype=tf.float32, name=None)\n"," 133394866312336: TensorSpec(shape=(32,), dtype=tf.float32, name=None)\n"," 133394866316176: TensorSpec(shape=(1, 1, 64, 64), dtype=tf.float32, name=None)\n"," 133394866316368: TensorSpec(shape=(64,), dtype=tf.float32, name=None)\n"," 133394866313296: TensorSpec(shape=(4,), dtype=tf.int64, name=None)\n"," 133394866312144: TensorSpec(shape=(4,), dtype=tf.int64, name=None)\n"," 133394866315984: TensorSpec(shape=(1, 1, 192, 128), dtype=tf.float32, name=None)\n"," 133394866316560: TensorSpec(shape=(128,), dtype=tf.float32, name=None)\n"," 133394866316944: TensorSpec(shape=(1, 1, 256, 64), dtype=tf.float32, name=None)\n"," 133394866315792: TensorSpec(shape=(64,), dtype=tf.float32, name=None)\n"," 133394866317328: TensorSpec(shape=(4,), dtype=tf.int64, name=None)\n"," 133394866317136: TensorSpec(shape=(4,), dtype=tf.int64, name=None)\n"," 133394866319440: TensorSpec(shape=(1, 1, 32, 16), dtype=tf.float32, name=None)\n"," 133394866319632: TensorSpec(shape=(16,), dtype=tf.float32, name=None)\n"," 133394866318864: TensorSpec(shape=(3, 3, 16, 16), dtype=tf.float32, name=None)\n"," 133394866320016: TensorSpec(shape=(16,), dtype=tf.float32, name=None)\n"," 133394866318480: TensorSpec(shape=(3, 3, 16, 16), dtype=tf.float32, name=None)\n"," 133394866319824: TensorSpec(shape=(16,), dtype=tf.float32, name=None)\n"," 133394866320208: TensorSpec(shape=(3, 3, 16, 16), dtype=tf.float32, name=None)\n"," 133394866320400: TensorSpec(shape=(16,), dtype=tf.float32, name=None)\n"," 133394866320592: TensorSpec(shape=(3, 3, 16, 16), dtype=tf.float32, name=None)\n"," 133394866317520: TensorSpec(shape=(1, 1, 32, 16), dtype=tf.float32, name=None)\n"," 133394866319056: TensorSpec(shape=(16,), dtype=tf.float32, name=None)\n"," 133394866316752: TensorSpec(shape=(16,), dtype=tf.float32, name=None)\n"," 133394866321168: TensorSpec(shape=(1, 1, 32, 32), dtype=tf.float32, name=None)\n"," 133394866321360: TensorSpec(shape=(32,), dtype=tf.float32, name=None)\n"," 133394866317712: TensorSpec(shape=(4,), dtype=tf.int64, name=None)\n"," 133394866317904: TensorSpec(shape=(4,), dtype=tf.int64, name=None)\n"," 133394866320976: TensorSpec(shape=(1, 1, 96, 64), dtype=tf.float32, name=None)\n"," 133394866321552: TensorSpec(shape=(64,), dtype=tf.float32, name=None)\n"," 133394866321744: TensorSpec(shape=(4, 2), dtype=tf.int32, name=None)\n"," 133394866320784: TensorSpec(shape=(3, 3, 64, 64), dtype=tf.float32, name=None)\n"," 133394866322128: TensorSpec(shape=(64,), dtype=tf.float32, name=None)\n"," 133394857394832: TensorSpec(shape=(1, 1, 192, 128), dtype=tf.float32, name=None)\n"," 133394857394448: TensorSpec(shape=(128,), dtype=tf.float32, name=None)\n"," 133394857395792: TensorSpec(shape=(4,), dtype=tf.int64, name=None)\n"," 133394857395984: TensorSpec(shape=(4,), dtype=tf.int64, name=None)\n"," 133394857398480: TensorSpec(shape=(1, 1, 64, 32), dtype=tf.float32, name=None)\n"," 133394857397136: TensorSpec(shape=(32,), dtype=tf.float32, name=None)\n"," 133394857395024: TensorSpec(shape=(3, 3, 32, 32), dtype=tf.float32, name=None)\n"," 133394857399056: TensorSpec(shape=(32,), dtype=tf.float32, name=None)\n"," 133394857399824: TensorSpec(shape=(3, 3, 32, 32), dtype=tf.float32, name=None)\n"," 133394857399440: TensorSpec(shape=(32,), dtype=tf.float32, name=None)\n"," 133394857400976: TensorSpec(shape=(3, 3, 32, 32), dtype=tf.float32, name=None)\n"," 133394857400592: TensorSpec(shape=(32,), dtype=tf.float32, name=None)\n"," 133394857399632: TensorSpec(shape=(3, 3, 32, 32), dtype=tf.float32, name=None)\n"," 133394857398096: TensorSpec(shape=(1, 1, 64, 32), dtype=tf.float32, name=None)\n"," 133394857399248: TensorSpec(shape=(32,), dtype=tf.float32, name=None)\n"," 133394857396176: TensorSpec(shape=(32,), dtype=tf.float32, name=None)\n"," 133394857397520: TensorSpec(shape=(1, 1, 64, 64), dtype=tf.float32, name=None)\n"," 133394857401168: TensorSpec(shape=(64,), dtype=tf.float32, name=None)\n"," 133394857396368: TensorSpec(shape=(4,), dtype=tf.int64, name=None)\n"," 133394857396560: TensorSpec(shape=(4,), dtype=tf.int64, name=None)\n"," 133394857400784: TensorSpec(shape=(1, 1, 192, 128), dtype=tf.float32, name=None)\n"," 133394857400208: TensorSpec(shape=(128,), dtype=tf.float32, name=None)\n"," 133394857401552: TensorSpec(shape=(4, 2), dtype=tf.int32, name=None)\n"," 133394857400400: TensorSpec(shape=(3, 3, 128, 128), dtype=tf.float32, name=None)\n"," 133394857401360: TensorSpec(shape=(128,), dtype=tf.float32, name=None)\n"," 133394857403472: TensorSpec(shape=(1, 1, 384, 256), dtype=tf.float32, name=None)\n"," 133394857402896: TensorSpec(shape=(256,), dtype=tf.float32, name=None)\n"," 133394857404432: TensorSpec(shape=(4,), dtype=tf.int64, name=None)\n"," 133394857404624: TensorSpec(shape=(4,), dtype=tf.int64, name=None)\n"," 133394857405776: TensorSpec(shape=(3, 3, 128, 64), dtype=tf.float32, name=None)\n"," 133394857403664: TensorSpec(shape=(64,), dtype=tf.float32, name=None)\n"," 133394857406928: TensorSpec(shape=(3, 3, 64, 128), dtype=tf.float32, name=None)\n"," 133394857407120: TensorSpec(shape=(128,), dtype=tf.float32, name=None)\n"," 133394857406160: TensorSpec(shape=(1, 1, 128, 256), dtype=tf.float32, name=None)\n"," 133394857407696: TensorSpec(shape=(256,), dtype=tf.float32, name=None)\n"," 133394857409040: TensorSpec(shape=(), dtype=tf.resource, name=None)\n"," 133394857406352: TensorSpec(shape=(128,), dtype=tf.float32, name=None)\n"," 133394857409232: TensorSpec(shape=(1, 1, 128, 128), dtype=tf.float32, name=None)\n"," 133394857410384: TensorSpec(shape=(128,), dtype=tf.float32, name=None)\n"," 133394857408272: TensorSpec(shape=(1, 1, 128, 256), dtype=tf.float32, name=None)\n"," 133394857409424: TensorSpec(shape=(256,), dtype=tf.float32, name=None)\n"," 133394857409808: TensorSpec(shape=(1, 1, 256, 128), dtype=tf.float32, name=None)\n"," 133394857410192: TensorSpec(shape=(128,), dtype=tf.float32, name=None)\n"," 133394857405008: TensorSpec(shape=(4,), dtype=tf.int64, name=None)\n"," 133394857405200: TensorSpec(shape=(4,), dtype=tf.int64, name=None)\n"," 133394857408080: TensorSpec(shape=(1, 1, 384, 256), dtype=tf.float32, name=None)\n"," 133394857408848: TensorSpec(shape=(256,), dtype=tf.float32, name=None)\n"," 133394857409616: TensorSpec(shape=(3, 3, 256, 1), dtype=tf.float32, name=None)\n"," 133394857402128: TensorSpec(shape=(3, 3, 128, 1), dtype=tf.float32, name=None)\n"," 133394866322704: TensorSpec(shape=(3, 3, 64, 1), dtype=tf.float32, name=None)\n"," 133394857408464: TensorSpec(shape=(256,), dtype=tf.float32, name=None)\n"," 133394857402320: TensorSpec(shape=(128,), dtype=tf.float32, name=None)\n"," 133394866322896: TensorSpec(shape=(64,), dtype=tf.float32, name=None)\n"," 133394857407888: TensorSpec(shape=(3, 3, 256, 16), dtype=tf.float32, name=None)\n"," 133394857401936: TensorSpec(shape=(3, 3, 128, 16), dtype=tf.float32, name=None)\n"," 133394866322512: TensorSpec(shape=(3, 3, 64, 16), dtype=tf.float32, name=None)\n"," 133394856854160: TensorSpec(shape=(1, 1, 256, 64), dtype=tf.float32, name=None)\n"," 133394857403088: TensorSpec(shape=(1, 1, 128, 64), dtype=tf.float32, name=None)\n"," 133394866321936: TensorSpec(shape=(1, 1, 64, 64), dtype=tf.float32, name=None)\n"," 133394857410000: TensorSpec(shape=(16,), dtype=tf.float32, name=None)\n"," 133394857401744: TensorSpec(shape=(16,), dtype=tf.float32, name=None)\n"," 133394866322320: TensorSpec(shape=(16,), dtype=tf.float32, name=None)\n"," 133394856853776: TensorSpec(shape=(64,), dtype=tf.float32, name=None)\n"," 133394857400016: TensorSpec(shape=(64,), dtype=tf.float32, name=None)\n"," 133394857394256: TensorSpec(shape=(64,), dtype=tf.float32, name=None)\n"," 133394857408656: TensorSpec(shape=(3, 3, 16, 16), dtype=tf.float32, name=None)\n"," 133394857402704: TensorSpec(shape=(3, 3, 16, 16), dtype=tf.float32, name=None)\n"," 133394866323280: TensorSpec(shape=(3, 3, 16, 16), dtype=tf.float32, name=None)\n"," 133394856854736: TensorSpec(shape=(3, 3, 64, 1), dtype=tf.float32, name=None)\n"," 133394857404048: TensorSpec(shape=(3, 3, 64, 1), dtype=tf.float32, name=None)\n"," 133394857395408: TensorSpec(shape=(3, 3, 64, 1), dtype=tf.float32, name=None)\n"," 133394856853584: TensorSpec(shape=(16,), dtype=tf.float32, name=None)\n"," 133394857402512: TensorSpec(shape=(16,), dtype=tf.float32, name=None)\n"," 133394866323088: TensorSpec(shape=(16,), dtype=tf.float32, name=None)\n"," 133394856854928: TensorSpec(shape=(64,), dtype=tf.float32, name=None)\n"," 133394857404240: TensorSpec(shape=(64,), dtype=tf.float32, name=None)\n"," 133394857395600: TensorSpec(shape=(64,), dtype=tf.float32, name=None)\n"," 133394856854352: TensorSpec(shape=(1, 1, 16, 4), dtype=tf.float32, name=None)\n"," 133394857403856: TensorSpec(shape=(1, 1, 16, 4), dtype=tf.float32, name=None)\n"," 133394857395216: TensorSpec(shape=(1, 1, 16, 4), dtype=tf.float32, name=None)\n"," 133394856856656: TensorSpec(shape=(1, 1, 64, 64), dtype=tf.float32, name=None)\n"," 133394857407312: TensorSpec(shape=(1, 1, 64, 64), dtype=tf.float32, name=None)\n"," 133394857398864: TensorSpec(shape=(1, 1, 64, 64), dtype=tf.float32, name=None)\n"," 133394856854544: TensorSpec(shape=(4,), dtype=tf.float32, name=None)\n"," 133394857403280: TensorSpec(shape=(4,), dtype=tf.float32, name=None)\n"," 133394857394640: TensorSpec(shape=(4,), dtype=tf.float32, name=None)\n"," 133394856855696: TensorSpec(shape=(64,), dtype=tf.float32, name=None)\n"," 133394857404816: TensorSpec(shape=(64,), dtype=tf.float32, name=None)\n"," 133394857398288: TensorSpec(shape=(64,), dtype=tf.float32, name=None)\n"," 133394856857808: TensorSpec(shape=(1, 1, 64, 11), dtype=tf.float32, name=None)\n"," 133394857407504: TensorSpec(shape=(1, 1, 64, 11), dtype=tf.float32, name=None)\n"," 133394857398672: TensorSpec(shape=(1, 1, 64, 11), dtype=tf.float32, name=None)\n"," 133394856858000: TensorSpec(shape=(11,), dtype=tf.float32, name=None)\n"," 133394857406736: TensorSpec(shape=(11,), dtype=tf.float32, name=None)\n"," 133394857397712: TensorSpec(shape=(11,), dtype=tf.float32, name=None)\n"," 133394856855312: TensorSpec(shape=(3,), dtype=tf.int64, name=None)\n"," 133394856855120: TensorSpec(shape=(3,), dtype=tf.int64, name=None)\n"," 133394856856848: TensorSpec(shape=(3,), dtype=tf.int64, name=None)\n"," 133394856857040: TensorSpec(shape=(3,), dtype=tf.int64, name=None)\n"," 133394856855504: TensorSpec(shape=(1, 2, 1029), dtype=tf.float32, name=None)\n"," 133394856858384: TensorSpec(shape=(1, 2, 1029), dtype=tf.float32, name=None)\n","\n","\n","\u001b[34m\u001b[1mTensorFlow SavedModel:\u001b[0m export success ✅ 89.9s, saved as 'runs/detect/train/weights/best_saved_model' (30.7 MB)\n","\n","Export complete (90.2s)\n","Results saved to \u001b[1m/content/runs/detect/train/weights/best_saved_model\u001b[0m\n","Predict: yolo predict task=detect model=runs/detect/train/weights/best_saved_model imgsz=224 \n","Validate: yolo val task=detect model=runs/detect/train/weights/best_saved_model imgsz=224 data=/content/custom_data/data.yaml \n","Visualize: https://netron.app\n"]}],"source":["SAVE_DIR = model.export(\n"," format=\"saved_model\",\n"," data=DATASET,\n"," imgsz=IMGSZ,\n"," batch=1,\n"," quantize=\"int8\",\n"," device=DEV\n",")"]},{"cell_type":"markdown","id":"7f82e45d","metadata":{"id":"7f82e45d"},"source":["Collect the expected exported artifact paths for later validation.\n"]},{"cell_type":"code","execution_count":46,"id":"0e048136","metadata":{"id":"0e048136","executionInfo":{"status":"ok","timestamp":1786006201562,"user_tz":-480,"elapsed":48,"user":{"displayName":"Carla Guo","userId":"14063917280599231222"}}},"outputs":[],"source":["from pathlib import Path"]},{"cell_type":"code","execution_count":47,"id":"24c5c1f8","metadata":{"id":"24c5c1f8","executionInfo":{"status":"ok","timestamp":1786006203302,"user_tz":-480,"elapsed":15,"user":{"displayName":"Carla Guo","userId":"14063917280599231222"}}},"outputs":[],"source":["TFL_I8 = Path(SAVE_DIR) / f\"{Path(BEST_MODEL_PATH).stem}_full_integer_quant.tflite\"\n","TFL_F32 = Path(SAVE_DIR) / f\"{Path(BEST_MODEL_PATH).stem}_float32.tflite\"\n","ONNX = Path(BEST_MODEL_PATH).with_suffix(\".onnx\")"]},{"cell_type":"code","execution_count":48,"id":"2838a133","metadata":{"id":"2838a133","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1786006205206,"user_tz":-480,"elapsed":20,"user":{"displayName":"Carla Guo","userId":"14063917280599231222"}},"outputId":"2f82f755-feeb-48d9-db71-16caa0b9d32d"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["(PosixPath('runs/detect/train/weights/best_saved_model/best_full_integer_quant.tflite'),\n"," PosixPath('runs/detect/train/weights/best_saved_model/best_float32.tflite'),\n"," PosixPath('runs/detect/train/weights/best.onnx'))"]},"metadata":{},"execution_count":48}],"source":["(TFL_I8, TFL_F32, ONNX)"]},{"cell_type":"markdown","id":"08f9ff70","metadata":{"id":"08f9ff70"},"source":["# 7. Inspect the Quantized TFLite Model\n","\n","A deployment-ready int8 model should usually have int8 input and int8 output tensors, and it should avoid boundary `QUANTIZE`/`DEQUANTIZE` operations that can break assumptions for embedded accelerators.\n","\n","The inspection helper below prints tensor dtype, shape, scale/zero-point values, file size, and the operator histogram inside the TFLite flatbuffer.\n"]},{"cell_type":"code","execution_count":49,"id":"57e60dfc","metadata":{"id":"57e60dfc","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1786006212150,"user_tz":-480,"elapsed":28,"user":{"displayName":"Carla Guo","userId":"14063917280599231222"}},"outputId":"bca7b557-c045-48b2-ca2a-12add26ee931"},"outputs":[{"output_type":"stream","name":"stdout","text":["input: int8 (1, 224, 224, 3) scale/zp=(0.003922, -128.0)\n","output: int8 (1, 15, 1029) scale/zp=(0.008255, -128.0)\n","size: 2626 KiB\n","ops (222): CONV_2Dx96, STRIDED_SLICEx26, ADDx22, CONCATENATIONx22, TRANSPOSEx12, RESHAPEx12, PADx7, DEPTHWISE_CONV_2Dx6, MULx4, BATCH_MATMULx4, MAX_POOL_2Dx3, SOFTMAXx2, RESIZE_NEAREST_NEIGHBORx2, SUBx2, LOGISTICx1, QUANTIZEx1\n","int8 input & int8 output, no boundary quantize/dequantize (1 internal int8->int8 requantize op(s), fine for vela)\n"]},{"output_type":"execute_result","data":{"text/plain":["({'name': 'serving_default_images:0',\n"," 'index': 0,\n"," 'shape': array([ 1, 224, 224, 3], dtype=int32),\n"," 'shape_signature': array([ 1, 224, 224, 3], dtype=int32),\n"," 'dtype': numpy.int8,\n"," 'quantization': (0.003921568859368563, -128),\n"," 'quantization_parameters': {'scales': array([ 0.0039216], dtype=float32),\n"," 'zero_points': array([-128], dtype=int32),\n"," 'quantized_dimension': 0,\n"," 'block_size': 0},\n"," 'sparsity_parameters': {}},\n"," {'name': 'StatefulPartitionedCall:0',\n"," 'index': 459,\n"," 'shape': array([ 1, 15, 1029], dtype=int32),\n"," 'shape_signature': array([ 1, 15, 1029], dtype=int32),\n"," 'dtype': numpy.int8,\n"," 'quantization': (0.00825456716120243, -128),\n"," 'quantization_parameters': {'scales': array([ 0.0082546], dtype=float32),\n"," 'zero_points': array([-128], dtype=int32),\n"," 'quantized_dimension': 0,\n"," 'block_size': 0},\n"," 'sparsity_parameters': {}},\n"," {'PAD': 7,\n"," 'CONV_2D': 96,\n"," 'STRIDED_SLICE': 26,\n"," 'ADD': 22,\n"," 'CONCATENATION': 22,\n"," 'MAX_POOL_2D': 3,\n"," 'TRANSPOSE': 12,\n"," 'RESHAPE': 12,\n"," 'MUL': 4,\n"," 'BATCH_MATMUL': 4,\n"," 'SOFTMAX': 2,\n"," 'RESIZE_NEAREST_NEIGHBOR': 2,\n"," 'DEPTHWISE_CONV_2D': 6,\n"," 'LOGISTIC': 1,\n"," 'QUANTIZE': 1,\n"," 'SUB': 2})"]},"metadata":{},"execution_count":49}],"source":["from collections import Counter\n","\n","def inspect_tflite(int8_path: Path):\n"," from ai_edge_litert.interpreter import Interpreter\n","\n"," it = Interpreter(model_path=str(int8_path))\n"," it.allocate_tensors()\n"," inp = it.get_input_details()[0]\n"," out = it.get_output_details()[0]\n"," ops = Counter(o[\"op_name\"] for o in it._get_ops_details())\n"," ops.pop(\"DELEGATE\", None) # XNNPACK runtime artifact, not in the flatbuffer\n","\n"," print(f\"input: {inp['dtype'].__name__:7s} {tuple(int(v) for v in inp['shape'])} \"\n"," f\"scale/zp={tuple(round(float(v), 6) for v in inp['quantization'])}\")\n"," print(f\"output: {out['dtype'].__name__:7s} {tuple(int(v) for v in out['shape'])} \"\n"," f\"scale/zp={tuple(round(float(v), 6) for v in out['quantization'])}\")\n"," print(f\"size: {int8_path.stat().st_size / 1024:.0f} KiB\")\n"," print(f\"ops ({sum(ops.values())}): \" + \", \".join(f\"{k}x{v}\" for k, v in ops.most_common()))\n","\n"," problems = []\n"," if inp[\"dtype\"] != np.int8:\n"," problems.append(f\"input dtype is {inp['dtype'].__name__}, expected int8\")\n"," if out[\"dtype\"] != np.int8:\n"," problems.append(f\"output dtype is {out['dtype'].__name__}, expected int8\")\n"," if ops.get(\"DEQUANTIZE\", 0):\n"," problems.append(f\"{ops['DEQUANTIZE']} DEQUANTIZE op(s) present (would break int8 I/O)\")\n","\n"," nq = ops.get(\"QUANTIZE\", 0)\n"," if problems:\n"," for p in problems:\n"," print(f\"problem: {p}\")\n"," raise RuntimeError(\"Self-inspection FAILED: model does not meet the int8-I/O contract.\")\n"," print(f\"int8 input & int8 output, no boundary quantize/dequantize \"\n"," f\"({nq} internal int8->int8 requantize op(s), fine for vela)\")\n"," return inp, out, dict(ops)\n","\n","inspect_tflite(TFL_I8)"]},{"cell_type":"markdown","id":"03b580d0","metadata":{"id":"03b580d0"},"source":["# 8. Validate Exported Model Consistency\n","\n","Export can introduce numerical drift. This section compares outputs from:\n","\n","- ONNX as the reference\n","- float32 TFLite\n","- int8 TFLite\n","\n","The goal is not to get bit-for-bit identical outputs from the quantized model. The goal is to confirm that conversion error is small enough to trust the exported artifacts before moving to target hardware.\n"]},{"cell_type":"code","execution_count":50,"id":"83baabed","metadata":{"id":"83baabed","executionInfo":{"status":"ok","timestamp":1786006219788,"user_tz":-480,"elapsed":19,"user":{"displayName":"Carla Guo","userId":"14063917280599231222"}}},"outputs":[],"source":["import glob\n","\n","def _letterbox(imgsz):\n"," from ultralytics.data.augment import LetterBox\n"," return LetterBox((imgsz, imgsz), auto=False)\n","\n","def _run_tflite(path, x_nhwc):\n"," from ai_edge_litert.interpreter import Interpreter\n"," it = Interpreter(model_path=str(path))\n"," it.allocate_tensors()\n"," inp, out = it.get_input_details()[0], it.get_output_details()[0]\n"," x = x_nhwc\n"," if inp[\"dtype\"] == np.int8:\n"," s, zp = inp[\"quantization\"]\n"," x = np.clip(np.round(x_nhwc / s + zp), -128, 127).astype(np.int8)\n"," it.set_tensor(inp[\"index\"], x)\n"," it.invoke()\n"," y = it.get_tensor(out[\"index\"]).astype(np.float32)\n"," if out[\"dtype\"] == np.int8:\n"," s, zp = out[\"quantization\"]\n"," y = (y - zp) * s\n"," return y[0]\n","\n","def validate(int8_path: Path, f32_path: Path, onnx_path: Path, val_images: str, imgsz: int, n=16):\n"," import cv2\n"," import onnxruntime as ort\n","\n"," imgs = sorted(glob.glob(str(Path(val_images) / \"*.jpg\")))[:n]\n","\n"," if not onnx_path.exists() or not f32_path.exists() or not imgs:\n"," print(f\" skipped (need {onnx_path.name}, {f32_path.name} and images in {val_images})\")\n"," return\n"," sess = ort.InferenceSession(str(onnx_path), providers=[\"CPUExecutionProvider\"])\n"," lb = _letterbox(imgsz)\n","\n"," def err(a, b):\n"," return abs(a[:4] - b[:4]).mean(), abs(a[:4] - b[:4]).max(), abs(a[4:] - b[4:]).mean(), abs(a[4:] - b[4:]).max()\n","\n"," e_f, e_q, peaks = [], [], []\n"," for p in imgs:\n"," rgb = cv2.cvtColor(lb(image=cv2.imread(p)), cv2.COLOR_BGR2RGB).astype(np.float32) / 255.0\n"," yo = sess.run(None, {\"images\": rgb.transpose(2, 0, 1)[None].astype(np.float32)})[0][0]\n"," e_f.append(err(yo, _run_tflite(f32_path, rgb[None])))\n"," e_q.append(err(yo, _run_tflite(int8_path, rgb[None])))\n"," peaks.append(float(yo[4:].max()))\n"," ef, eq = np.mean(e_f, 0), np.mean(e_q, 0)\n"," print(f\"images: {len(imgs)} from {val_images} (output range ~[0,1])\")\n"," print(f\"ONNX vs FLOAT32 tflite : box MAE={ef[0]:.6f} max={ef[1]:.6f} | score MAE={ef[2]:.6f} max={ef[3]:.6f}\")\n"," print(\" -> onnx2tf graph conversion is numerically exact.\" if ef[1] < 1e-4\n"," else \" -> WARNING: unexpected float32 conversion drift.\")\n"," print(f\"ONNX vs INT8 tflite : box MAE={eq[0]:.6f} max={eq[1]:.6f} | score MAE={eq[2]:.6f} max={eq[3]:.6f}\")\n"," print(f\" -> quantization error tiny (box max {eq[1] * imgsz:.2f}px @ {imgsz}px).\")\n"]},{"cell_type":"markdown","id":"cd325c81","metadata":{"id":"cd325c81"},"source":["Run the consistency check on a sample of validation images.\n","\n","Update `VAL_IMAGES` if your validation image folder is somewhere else.\n"]},{"cell_type":"code","execution_count":51,"id":"ebb33821","metadata":{"id":"ebb33821","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1786006227522,"user_tz":-480,"elapsed":1345,"user":{"displayName":"Carla Guo","userId":"14063917280599231222"}},"outputId":"82867f5b-ec44-46c5-ef5a-9208de223614"},"outputs":[{"output_type":"stream","name":"stdout","text":["images: 16 from /content/custom_data/data/validation/images (output range ~[0,1])\n","ONNX vs FLOAT32 tflite : box MAE=0.000000 max=0.000007 | score MAE=0.000000 max=0.000002\n"," -> onnx2tf graph conversion is numerically exact.\n","ONNX vs INT8 tflite : box MAE=0.008636 max=0.201314 | score MAE=0.000395 max=0.134368\n"," -> quantization error tiny (box max 45.09px @ 224px).\n"]}],"source":["VAL_IMAGES = \"/content/custom_data/data/validation/images\" # Remember to update path\n","validate(TFL_I8, TFL_F32, ONNX, Path(VAL_IMAGES), IMGSZ, n=16)\n"]},{"cell_type":"markdown","id":"245ddcb0","metadata":{"id":"245ddcb0"},"source":["# 9. Compare Local Inference Results\n","\n","This section runs one image through the exported ONNX, FP32 TFLite, and INT8 TFLite models, then draws the resulting detections side by side.\n","\n","This is a practical deployment sanity check. If the three panels disagree dramatically, inspect preprocessing, output decoding, quantization settings, and class-name loading before deploying the model.\n"]},{"cell_type":"markdown","id":"5262891b","metadata":{"id":"5262891b"},"source":["Define preprocessing, model runners, postprocessing, non-max suppression, and drawing helpers.\n"]},{"cell_type":"code","execution_count":52,"id":"ae411574","metadata":{"id":"ae411574","executionInfo":{"status":"ok","timestamp":1786006232416,"user_tz":-480,"elapsed":43,"user":{"displayName":"Carla Guo","userId":"14063917280599231222"}}},"outputs":[],"source":["import cv2\n","\n","def letterbox(img, imgsz, color=114):\n"," h0, w0 = img.shape[:2]\n"," r = min(imgsz / h0, imgsz / w0)\n"," nw, nh = round(w0 * r), round(h0 * r)\n"," resized = cv2.resize(img, (nw, nh), interpolation=cv2.INTER_LINEAR)\n"," top, left = (imgsz - nh) // 2, (imgsz - nw) // 2\n"," out = cv2.copyMakeBorder(resized, top, imgsz - nh - top, left, imgsz - nw - left,\n"," cv2.BORDER_CONSTANT, value=(color, color, color))\n"," return out, r, left, top\n","\n","def infer_onnx(sess, x_nhwc):\n"," x = x_nhwc.transpose(0, 3, 1, 2).astype(np.float32) # NCHW\n"," return sess.run(None, {sess.get_inputs()[0].name: x})[0][0]\n","\n","def infer_tflite(interp, x_nhwc):\n"," inp, out = interp.get_input_details()[0], interp.get_output_details()[0]\n"," x = x_nhwc\n"," if inp[\"dtype\"] == np.int8:\n"," s, zp = inp[\"quantization\"]\n"," x = np.clip(np.round(x_nhwc / s + zp), -128, 127).astype(np.int8)\n"," interp.set_tensor(inp[\"index\"], x)\n"," interp.invoke()\n"," y = interp.get_tensor(out[\"index\"]).astype(np.float32)\n"," if out[\"dtype\"] == np.int8:\n"," s, zp = out[\"quantization\"]\n"," y = (y - zp) * s\n"," return y[0]\n","\n","def nms(boxes, scores, iou_thr):\n"," x1, y1, x2, y2 = boxes.T\n"," areas = (x2 - x1) * (y2 - y1)\n"," order = scores.argsort()[::-1]\n"," keep = []\n"," while order.size:\n"," i = order[0]\n"," keep.append(i)\n"," xx1, yy1 = np.maximum(x1[i], x1[order[1:]]), np.maximum(y1[i], y1[order[1:]])\n"," xx2, yy2 = np.minimum(x2[i], x2[order[1:]]), np.minimum(y2[i], y2[order[1:]])\n"," inter = np.maximum(0, xx2 - xx1) * np.maximum(0, yy2 - yy1)\n"," iou = inter / (areas[i] + areas[order[1:]] - inter + 1e-9)\n"," order = order[1:][iou <= iou_thr]\n"," return keep\n","\n","def postprocess(raw, imgsz, r, pad_l, pad_t, orig_hw, conf_thr, iou_thr):\n"," p = raw.T\n"," xywh = p[:, :4] * imgsz\n"," scores = p[:, 4:]\n"," cls = scores.argmax(1)\n"," conf = scores.max(1)\n"," m = conf >= conf_thr\n"," xywh, conf, cls = xywh[m], conf[m], cls[m]\n"," if not len(xywh):\n"," return np.zeros((0, 4)), conf, cls\n"," xy, wh = xywh[:, :2], xywh[:, 2:]\n"," xyxy = np.concatenate([xy - wh / 2, xy + wh / 2], 1)\n"," keep = nms(xyxy + cls[:, None] * 8192, conf, iou_thr)\n"," xyxy, conf, cls = xyxy[keep], conf[keep], cls[keep]\n"," xyxy[:, [0, 2]] = (xyxy[:, [0, 2]] - pad_l) / r\n"," xyxy[:, [1, 3]] = (xyxy[:, [1, 3]] - pad_t) / r\n"," xyxy[:, [0, 2]] = xyxy[:, [0, 2]].clip(0, orig_hw[1])\n"," xyxy[:, [1, 3]] = xyxy[:, [1, 3]].clip(0, orig_hw[0])\n"," return xyxy, conf, cls\n","\n","def load_names(p):\n"," p = Path(p)\n"," if p.exists():\n"," try:\n"," import yaml\n"," return yaml.safe_load(p.read_text()).get(\"names\", {})\n"," except Exception:\n"," pass\n"," return {}\n","\n","def color_for(c):\n"," np.random.seed(int(c) * 7 + 1)\n"," return tuple(int(v) for v in np.random.randint(60, 256, 3))\n","\n","def draw(img, dets, names, title):\n"," im = img.copy()\n"," xyxy, conf, cls = dets\n"," for (x1, y1, x2, y2), cf, c in zip(xyxy, conf, cls):\n"," col = color_for(c)\n"," cv2.rectangle(im, (int(x1), int(y1)), (int(x2), int(y2)), col, 2)\n"," label = f\"{names.get(int(c), int(c))} {cf:.2f}\"\n"," (tw, th), _ = cv2.getTextSize(label, cv2.FONT_HERSHEY_SIMPLEX, 0.5, 1)\n"," cv2.rectangle(im, (int(x1), int(y1) - th - 4), (int(x1) + tw, int(y1)), col, -1)\n"," cv2.putText(im, label, (int(x1), int(y1) - 3), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 0, 0), 1, cv2.LINE_AA)\n"," bar = np.full((34, im.shape[1], 3), 40, np.uint8)\n"," cv2.putText(bar, f\"{title} [{len(conf)} det]\", (8, 23), cv2.FONT_HERSHEY_SIMPLEX, 0.7, (255, 255, 255), 2, cv2.LINE_AA)\n"," return np.vstack([bar, im])\n","\n","def _interp(Interpreter, path):\n"," it = Interpreter(model_path=path)\n"," it.allocate_tensors()\n"," return it\n"]},{"cell_type":"markdown","id":"f32f701c","metadata":{"id":"f32f701c"},"source":["Choose the image and visualization thresholds.\n","\n","- `CONF` filters low-confidence boxes.\n","- `IOU` controls non-max suppression overlap.\n","- `PH` controls the plotted panel height.\n"]},{"cell_type":"code","execution_count":53,"id":"9019652c","metadata":{"id":"9019652c","executionInfo":{"status":"ok","timestamp":1786006241522,"user_tz":-480,"elapsed":2,"user":{"displayName":"Carla Guo","userId":"14063917280599231222"}}},"outputs":[],"source":["VAL_IMG = TEST_IMAGE_PATH\n","CONF = 0.25\n","IOU = 0.45\n","PH = 800"]},{"cell_type":"markdown","id":"24f5a183","metadata":{"id":"24f5a183"},"source":["Load runtime libraries for ONNX and TFLite inference.\n"]},{"cell_type":"code","execution_count":54,"id":"76bdec70","metadata":{"id":"76bdec70","executionInfo":{"status":"ok","timestamp":1786006243457,"user_tz":-480,"elapsed":7,"user":{"displayName":"Carla Guo","userId":"14063917280599231222"}}},"outputs":[],"source":["import onnxruntime as ort\n","from ai_edge_litert.interpreter import Interpreter\n","import matplotlib.pyplot as plt\n","\n","%matplotlib inline"]},{"cell_type":"markdown","id":"71c135a7","metadata":{"id":"71c135a7"},"source":["Run all three exported models on the same image and display their detections for comparison.\n"]},{"cell_type":"code","execution_count":55,"id":"740859bc","metadata":{"id":"740859bc","colab":{"base_uri":"https://localhost:8080/","height":892,"output_embedded_package_id":"1tkaqbG1HfyXhWNevJSvJ2BpMDrOxyusM"},"executionInfo":{"status":"ok","timestamp":1786006248749,"user_tz":-480,"elapsed":2631,"user":{"displayName":"Carla Guo","userId":"14063917280599231222"}},"outputId":"8c8e371e-9ecc-423d-ee51-1457735721e4"},"outputs":[{"output_type":"display_data","data":{"text/plain":"Output hidden; open in https://colab.research.google.com to view."},"metadata":{}}],"source":["img0 = cv2.imread(VAL_IMG)\n","if img0 is None:\n"," raise FileNotFoundError(VAL_IMG)\n","lb, r, pad_l, pad_t = letterbox(img0, IMGSZ)\n","x_nhwc = (cv2.cvtColor(lb, cv2.COLOR_BGR2RGB).astype(np.float32) / 255.0)[None]\n","names = load_names(DATASET)\n","names = {int(k): v for k, v in enumerate(names)}\n","\n","runners = {\n"," \"ONNX (ref)\": lambda: infer_onnx(ort.InferenceSession(ONNX, providers=[\"CPUExecutionProvider\"]), x_nhwc),\n"," \"TF FP32\": lambda: infer_tflite(_interp(Interpreter, TFL_F32), x_nhwc),\n"," \"TF INT8\": lambda: infer_tflite(_interp(Interpreter, TFL_I8), x_nhwc),\n","}\n","\n","panels = []\n","for title, run in runners.items():\n"," raw = run()\n"," dets = postprocess(raw, IMGSZ, r, pad_l, pad_t, img0.shape[:2], CONF, IOU)\n"," panel = draw(img0, dets, names, title)\n"," h = PH\n"," panel = cv2.resize(panel, (round(panel.shape[1] * h / panel.shape[0]), h))\n"," panels.append(panel)\n"," print(f\"{title:12s}: {len(dets[1])} detections\"\n"," + (f\" top={[(names.get(int(c), int(c)), round(float(cf), 2)) for cf, c in sorted(zip(dets[1], dets[2]), reverse=True)[:5]]}\"\n"," if len(dets[1]) else \"\"))\n","\n","\n","sep = np.full((panels[0].shape[0], 4, 3), 200, np.uint8)\n","montage = panels[0]\n","for pnl in panels[1:]:\n"," montage = np.hstack([montage, sep, pnl])\n","\n","plt.figure(figsize=(12, 12), dpi=300)\n","plt.imshow(cv2.cvtColor(montage, cv2.COLOR_BGR2RGB))\n","plt.axis('off')"]},{"cell_type":"markdown","id":"add480fe","metadata":{"id":"add480fe"},"source":["# 10. Optional: Compile for Ethos-U with Vela\n","\n","Vela compiles a compatible int8 TFLite model for Arm Ethos-U NPUs. This step is only needed when deploying to hardware or a simulator that uses Ethos-U.\n","\n","The configuration below describes a memory and system profile for the compiler. Adjust it to match your actual target board before using the compiled model in production.\n"]},{"cell_type":"code","execution_count":56,"id":"60d4d32f","metadata":{"id":"60d4d32f","executionInfo":{"status":"ok","timestamp":1786006290544,"user_tz":-480,"elapsed":41,"user":{"displayName":"Carla Guo","userId":"14063917280599231222"}}},"outputs":[],"source":["CFG = \"\"\"\n","[System_Config.My_Sys_Cfg]\n","core_clock=400e6\n","axi0_port=Sram\n","axi1_port=OffChipFlash\n","Sram_clock_scale=1.0\n","Sram_burst_length=32\n","Sram_read_latency=16\n","Sram_write_latency=16\n","Dram_clock_scale=0.75\n","Dram_burst_length=128\n","Dram_read_latency=500\n","Dram_write_latency=250\n","OnChipFlash_clock_scale=0.25\n","OffChipFlash_clock_scale=0.015625\n","OffChipFlash_burst_length=32\n","OffChipFlash_read_latency=64\n","OffChipFlash_write_latency=64\n","\n","[Memory_Mode.My_Mem_Mode_Parent]\n","const_mem_area=Axi1\n","arena_mem_area=Axi0\n","cache_mem_area=Axi0\n","\"\"\"\n","\n","with open(\"vela_config.ini\", \"w\") as f:\n"," f.write(CFG)"]},{"cell_type":"markdown","id":"2bc1914e","metadata":{"id":"2bc1914e"},"source":["Run Vela on the int8 TFLite model.\n","\n","The command writes the compiled output next to the exported weights. If `vela` is not found, confirm that `ethos-u-vela` is installed in the active environment.\n"]},{"cell_type":"code","execution_count":57,"id":"efe8d8d8","metadata":{"id":"efe8d8d8","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1786006297536,"user_tz":-480,"elapsed":2848,"user":{"displayName":"Carla Guo","userId":"14063917280599231222"}},"outputId":"33e0b038-8ead-4830-cda5-df78ac9ddfb8"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["0"]},"metadata":{},"execution_count":57}],"source":["CMD = f\"vela \\\n"," --config vela_config.ini \\\n"," --accelerator-config ethos-u55-64 \\\n"," --verbose-performance \\\n"," --system-config My_Sys_Cfg \\\n"," --memory-mode My_Mem_Mode_Parent \\\n"," --output-dir {Path(BEST_MODEL_PATH).parent}/ \\\n"," {TFL_I8}\"\n","os.system(CMD)"]},{"cell_type":"markdown","id":"2ae3e00b","metadata":{"id":"2ae3e00b"},"source":["# 11. Wrap-Up and Troubleshooting\n","\n","You have now trained, validated, exported, inspected, and deployment-checked a YOLO26 model.\n","\n","Common fixes:\n","\n","- If training cannot find images, check `DATASET` and the paths inside `/content/custom_data/data.yaml`.\n","- If prediction preview fails, update `TEST_IMAGE_PATH` to an existing validation image.\n","- If export fails after training, restart the kernel, rerun the common setup, and try export again.\n","- If TFLite validation drifts too much, compare preprocessing first, then try changing `QUANT_TYPE`.\n","- If Vela rejects the model, inspect unsupported ops in the TFLite graph and confirm the model has int8 boundaries.\n"]}],"metadata":{"colab":{"provenance":[]},"kernelspec":{"display_name":"Python 3 (ipykernel)","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.12.3"}},"nbformat":4,"nbformat_minor":5}