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- # YOLOv5 requirements
- # Usage: pip install -r requirements.txt
-
- # Base ----------------------------------------
- matplotlib>=3.2.2
- numpy>=1.18.5
- opencv-python>=4.1.1
- Pillow>=7.1.2
- PyYAML>=5.3.1
- requests>=2.23.0
- scipy>=1.4.1 # Google Colab version
- torch>=1.7.0
- torchvision>=0.8.1
- tqdm>=4.41.0
- protobuf<4.21.3 # https://github.com/ultralytics/yolov5/issues/8012
-
- # Logging -------------------------------------
- tensorboard>=2.4.1
- # wandb
-
- # Plotting ------------------------------------
- pandas>=1.1.4
- seaborn>=0.11.0
-
- # Export --------------------------------------
- # coremltools>=4.1 # CoreML export
- # onnx>=1.9.0 # ONNX export
- # onnx-simplifier>=0.3.6 # ONNX simplifier
- # scikit-learn==0.19.2 # CoreML quantization
- # tensorflow>=2.4.1 # TFLite export
- # tensorflowjs>=3.9.0 # TF.js export
- # openvino-dev # OpenVINO export
-
- # Extras --------------------------------------
- ipython # interactive notebook
- psutil # system utilization
- thop # FLOPs computation
- # albumentations>=1.0.3
- # pycocotools>=2.0 # COCO mAP
- # roboflow
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