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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,!=1.12.0 # https://github.com/ultralytics/yolov5/issues/8395 torchvision>=0.8.1,!=0.13.0 # https://github.com/ultralytics/yolov5/issues/8395 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>=5.2 # CoreML export onnx>=1.9.0 # ONNX export onnx-simplifier>=0.4.1 # ONNX simplifier onnxruntime # nvidia-pyindex # TensorRT export # nvidia-tensorrt # TensorRT export scikit-learn>=0.19.2 # CoreML quantization tensorflow-gpu>=2.4.1 # TFLite export tensorflowjs>=3.9.0 # TF.js export openvino-dev==2022.1.0 # OpenVINO export # Extras -------------------------------------- ipython # interactive notebook psutil # system utilization thop>=0.1.0 # FLOPs computation # albumentations>=1.0.3 # pycocotools>=2.0 # COCO mAP # roboflow |