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Implementation of paper - [YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors](https://arxiv.org/abs/2207.02696)
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[](https://paperswithcode.com/sota/real-time-object-detection-on-coco?p=yolov7-trainable-bag-of-freebies-sets-new)
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[](https://huggingface.co/spaces/akhaliq/yolov7)
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<a href="https://colab.research.google.com/gist/AlexeyAB/b769f5795e65fdab80086f6cb7940dae/yolov7detection.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a>
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[](https://arxiv.org/abs/2207.02696)
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<div align="center">
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<a href="./">
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<img src="./figure/performance.png" width="79%"/>
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@ -131,6 +136,11 @@ See [keypoint.ipynb](https://github.com/WongKinYiu/yolov7/blob/main/tools/keypoi
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## Inference
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On video:
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``` bash
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python detect.py --weights yolov7.pt --conf 0.25 --img-size 640 --source yourvideo.mp4
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On image:
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``` bash
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python detect.py --weights yolov7.pt --conf 0.25 --img-size 640 --source inference/images/horses.jpg
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```
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