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Implementation of "YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors" Implementation of "YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors"
This implimentation is for [darknet](https://github.com/AlexeyAB/darknet). This implimentation is based on [yolov5](https://github.com/ultralytics/yolov5).
## Usage ## Object detection
[`yolov7-tiny.weights`](https://github.com/WongKinYiu/yolov7/releases/download/v0.1/yolov7-tiny.weights) [`yolov7.weights`](https://github.com/WongKinYiu/yolov7/releases/download/v0.1/yolov7.weights) [`yolov7x.weights`](https://github.com/WongKinYiu/yolov7/releases/download/v0.1/yolov7x.weights) [code](./det)
``` shell ## Instance segmentation
./darknet detector demo cfg/coco.data cfg/yolov7-tiny_darknet.cfg yolov7-tiny.weights test.mp4
./darknet detector demo cfg/coco.data cfg/yolov7_darknet.cfg yolov7.weights test.mp4 [code](./seg)
./darknet detector demo cfg/coco.data cfg/yolov7x_darknet.cfg yolov7x.weights test.mp4
``` ## Image classification
[code](./det)