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# YOLOv5 requirements |
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# Usage: pip install -r requirements.txt |
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# Base ------------------------------------------------------------------------ |
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gitpython>=3.1.30 |
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matplotlib>=3.3 |
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numpy>=1.23.5 |
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opencv-python>=4.1.1 |
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Pillow>=9.4.0 |
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psutil # system resources |
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PyYAML>=5.3.1 |
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requests>=2.23.0 |
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scipy>=1.4.1 |
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thop>=0.1.1 # FLOPs computation |
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torch>=1.8.0 # see https://pytorch.org/get-started/locally (recommended) |
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torchvision>=0.9.0 |
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tqdm>=4.64.0 |
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ultralytics>=8.0.232 |
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# protobuf<=3.20.1 # https://github.com/ultralytics/yolov5/issues/8012 |
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# Logging --------------------------------------------------------------------- |
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# tensorboard>=2.4.1 |
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# clearml>=1.2.0 |
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# comet |
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# Plotting -------------------------------------------------------------------- |
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pandas>=1.1.4 |
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seaborn>=0.11.0 |
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# Export ---------------------------------------------------------------------- |
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# coremltools>=6.0 # CoreML export |
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# onnx>=1.10.0 # ONNX export |
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# onnx-simplifier>=0.4.1 # ONNX simplifier |
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# nvidia-pyindex # TensorRT export |
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# nvidia-tensorrt # TensorRT export |
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# scikit-learn<=1.1.2 # CoreML quantization |
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# tensorflow>=2.4.0,<=2.13.1 # TF exports (-cpu, -aarch64, -macos) |
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# tensorflowjs>=3.9.0 # TF.js export |
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# openvino-dev>=2023.0 # OpenVINO export |
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# Deploy ---------------------------------------------------------------------- |
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setuptools>=65.5.1 # Snyk vulnerability fix |
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# tritonclient[all]~=2.24.0 |
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# Extras ---------------------------------------------------------------------- |
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# ipython # interactive notebook |
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# mss # screenshots |
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# albumentations>=1.0.3 |
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# pycocotools>=2.0.6 # COCO mAP |
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