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https://github.com/ultralytics/yolov5.git
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de44376d1b
* Add Annotator() class * Download Arial * 2x for loop * Cleanup * tuple 2 list * max_size=1920 * bold logging results to * tolist() * im = annotator.im * PIL save in detect.py * Smart asarray in detect.py * revert to cv2.imwrite * Cleanup * Return result asarray * Add `Profile()` profiler * CamelCase Timeout * Resize after mosaic * pillow>=8.0.0 * daemon imwrite * Add cv2 support * Remove plot_wh_methods and plot_one_box * pil=False for hubconf.py annotations * im.shape bug fix * colorstr common.py * join daemons * Update t.daemon * Removed daemon saving
33 lines
751 B
Plaintext
Executable File
33 lines
751 B
Plaintext
Executable File
# pip install -r requirements.txt
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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>=4.1.2
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Pillow>=8.0.0
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PyYAML>=5.3.1
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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>=4.41.0
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# logging -------------------------------------
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tensorboard>=2.4.1
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# wandb
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# plotting ------------------------------------
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seaborn>=0.11.0
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pandas
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# export --------------------------------------
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# coremltools>=4.1
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# onnx>=1.9.0
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# scikit-learn==0.19.2 # for coreml quantization
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# tensorflow==2.4.1 # for TFLite export
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# extras --------------------------------------
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# Cython # for pycocotools https://github.com/cocodataset/cocoapi/issues/172
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# pycocotools>=2.0 # COCO mAP
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# albumentations>=1.0.3
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thop # FLOPs computation
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