Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.
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Can't open detection annotation in YOLO style #113
I can't run this metrics with darknet-generated annotation with a style like this : 2 0.6855 0.5970 0.4288 0.5175. the annotation is generated with pseudo-labelling features of darknet and unfortunately it didn't include confidence in the annotation files. the file format is .txt with the file name being the same as the corresponding .jpg files (or any picture format). my question is what kind of style supported by this metrics ?
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I can't run this metrics with darknet-generated annotation with a style like this : 2 0.6855 0.5970 0.4288 0.5175. the annotation is generated with pseudo-labelling features of darknet and unfortunately it didn't include confidence in the annotation files. the file format is .txt with the file name being the same as the corresponding .jpg files (or any picture format). my question is what kind of style supported by this metrics ?