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Create requirements.txt

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+ # YOLOv5 requirements
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+ # Usage: pip install -r requirements.txt
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+
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+ # Base ----------------------------------------
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+ matplotlib>=3.2.2
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+ numpy>=1.18.5
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+ opencv-python>=4.1.1
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+ Pillow>=7.1.2
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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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+ torch>=1.7.0 # see https://pytorch.org/get-started/locally/ (recommended)
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+ torchvision>=0.8.1
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+ tqdm>=4.64.0
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+ # protobuf<=3.20.1 # https://github.com/ultralytics/yolov5/issues/8012
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+
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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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+
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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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+
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+ # Export --------------------------------------
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+ # coremltools>=6.0 # CoreML export
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+ # onnx>=1.9.0 # 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>=2.4.1 # TF exports (-cpu, -aarch64, -macos)
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+ # tensorflowjs>=3.9.0 # TF.js export
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+ # openvino-dev # OpenVINO export
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+
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+ # Deploy --------------------------------------
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+ # tritonclient[all]~=2.24.0
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+
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+ # Extras --------------------------------------
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+ ipython # interactive notebook
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+ psutil # system utilization
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+ thop>=0.1.1 # FLOPs computation
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+ gradio
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+ huggingface_hub
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+ datasets
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+ joblib
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+ Pillow
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+ # mss # screenshots
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+ # albumentations>=1.0.3
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+ # pycocotools>=2.0 # COCO mAP
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+ # roboflow