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@ -132,7 +132,7 @@ Success: converted 'weights/yolov3-spp.pt' to 'converted.weights'
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- `test.py --weights weights/best.pt` tests best checkpoint.
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- Compare to darknet published results https://arxiv.org/abs/1804.02767.
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[ultralytics/yolov3](https://github.com/ultralytics/yolov3) mAP@0.5 ([darknet](https://arxiv.org/abs/1804.02767) reported mAP@0.5)
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[ultralytics/yolov3](https://github.com/ultralytics/yolov3) mAP@0.5 ([darknet](https://arxiv.org/abs/1804.02767)-reported mAP@0.5)
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<i></i> | 320 | 416 | 608
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--- | --- | --- | ---
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@ -1,8 +1,4 @@
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# pip3 install -U -r requirements.txt
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# conda install -y numpy opencv matplotlib tqdm pillow && conda install -y scikit-image -c conda-forge && conda install -y -c spyder-ide spyder-line-profiler
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# conda install -y -c conda-forge tensorboard && conda install -y -c anaconda future
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# conda install pytorch torchvision -c pytorch
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numpy
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opencv-python
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torch >= 1.1.0
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@ -12,3 +8,10 @@ tqdm
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tb-nightly
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future
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Pillow
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# Equivalent conda commands ----------------------------------------------------
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# conda update -n base -c defaults conda
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# conda install -y -c anaconda future numpy opencv matplotlib tqdm pillow
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# conda install -y -c conda-forge scikit-image tensorboard pycocotools
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# conda install -y -c spyder-ide spyder-line-profiler
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# conda install pytorch torchvision -c pytorch
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