Open NEELMCW opened 5 years ago
@NEELMCW Hi,
To get all these values:
Or use MS COCO evaluation server: https://worksheets.codalab.org/
Or use ./darknet detector valid cfg/coco.data cfg/yolov3.cfg yolov3.weights
... and use results with https://github.com/cocodataset/cocoapi/tree/master/PythonAPI/pycocotools
Or use ./darknet detector test cfg/coco.data cfg/yolov3.cfg yolov3.weights -dont_show -ext_output < /home/dickson/data/coco/5k.txt > result.txt
and use results with https://github.com/ydixon/mAP_eval/blob/master/pred_yolo2json.py and then with https://github.com/cocodataset/cocoapi/tree/master/PythonAPI/pycocotools
Or use commands ./darknet detector map cfg/coco.data cfg/yolov3.cfg yolov3.weights -iou_thresh 0.50
... to get mAP@IoU=0.50, mAP@IoU=0.75 and mAP@IoU=0.50:.05:.0.95
More: https://github.com/AlexeyAB/darknet/issues/2145#issuecomment-451908890
Hi @AlexeyAB et al
Is there any code snippet to evaluate a yolov3 trained model with the following metrics as in Coco evaluation