It's much too Slow! - Githubissues

rafaelpadilla / review_object_detection_metrics

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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It's much too Slow! #52

Closed Harry-675 closed 3 years ago

Harry-675 commented 3 years ago

I tested it with 6500 images, it works fine. But when the number of images comes to more than ten thousnads, the program crash!

rafaelpadilla commented 3 years ago

Hi @Harry-675 ,

Please, could you inform which annotation formats you are using and the configuration of your machine?

I will try to replicate it and see what is happening.

Regards

rafaelpadilla commented 3 years ago

Closing issue as no update was reported

hillvanwalker commented 2 years ago

Hi, here I testd 10k images with 640x640 and its ground truth (yolo format), and detection of my yolov5 networks, format is (cls_id,conf,cx,cy,w,h)relative, it cost about 6 minute to show the result, very slow indeed, my cpu is i9-10900k.