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update requirements.txt
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.gitignore

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*/__pycache__
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/.idea
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*.pt
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*.onnx
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/data/widerface/val/images
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/widerface_evaluate/widerface_txt
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/widerface_evaluate/box_overlaps.c
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/widerface_evaluate/**/*.so
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/widerface_evaluate/**/*.o
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/runs

README.md

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# Fork of [derronqi/yolov8-face](https://github.com/derronqi/yolov8-face)
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Differences between original repository and fork:
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* Compatibility with PyTorch >=2.0. (🔥)
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# Installation
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```shell
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pip install -r requirements.txt
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```
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# yolov8-face
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| Method | Test Size | Easy | Medium | Hard | FLOPs (B) @640 | weights |

requirements.txt

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# Ultralytics requirements
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# Usage: pip install -r requirements.txt
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# Base ----------------------------------------
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matplotlib>=3.2.2
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numpy>=1.21.6
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opencv-python>=4.6.0
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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
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torchvision>=0.8.1
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tqdm>=4.64.0
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# Logging -------------------------------------
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# tensorboard>=2.4.1
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# clearml
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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>=1.12.0 # ONNX export
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# onnxsim>=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==0.19.2 # CoreML quantization
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# tensorflow>=2.4.1 # TF exports (-cpu, -aarch64, -macos)
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# tflite-support
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# tensorflowjs>=3.9.0 # TF.js export
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# openvino-dev>=2022.3 # OpenVINO export
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# Extras --------------------------------------
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psutil # system utilization
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thop>=0.1.1 # FLOPs computation
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# ipython # interactive notebook
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# albumentations>=1.0.3
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# pycocotools>=2.0.6 # COCO mAP
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# roboflow
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torch>=2.0.0
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torchvision>=0.15.0
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opencv-python>=4.7.0
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tqdm>=4.65.0
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PyYAML>=6.0.0
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seaborn>=0.12.0
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scipy>=1.10.0
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thop>=0.1.1
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psutil>=5.9.0
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Cython>=0.29.35

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