darknet训练时计算mAP和测试计算mAP

训练时计算相应的mAP值

./darknet detector train cfg/coco.data yolov3.cfg yolov3.conv.137 -map

测试时计算相应的mAP值

To check accuracy mAP@IoU=50: ./darknet detector map data/obj.data yolo-obj.cfg backup\yolo-obj_7000.weights
To check accuracy mAP@IoU=75: ./darknet detector map data/obj.data yolo-obj.cfg backup\yolo-obj_7000.weights -iou_thresh 0.75

测试时计算相应的mAP值，并保存result.txt

./darknet detector map data/obj.data yolo-obj.cfg backup\yolo-obj_7000.weights -dont_show -ext_output < data/train.txt > result.txt

参考：

https://github.com/AlexeyAB/darknethttps://github.com/AlexeyAB/darknet

版权声明：本文为CSDN博主「九是否非随机的称呼」的原创文章，遵循CC 4.0 BY-SA版权协议，转载请附上原文出处链接及本声明。
原文链接：https://blog.csdn.net/m0_50617544/article/details/121893879