Testset PR curve
Opened this issue · 4 comments
Would you be so kind and tell me how you achieved the results: face: 0.896 and face_mask: 0.919?
Are these mAP?
Are these the results for model: face_mask_detection.pb?
What value did you take for the conf_thresh?
and what about IoU_thresh in eval process?
Regards.
Yes, this is the ap for face and face with mask.
face_mask_detection.pb and other models have same results, espically for the model360.pth, model360 has bigger input size with 360, the mAP is higher than others.
conf_thresh=0.02, IoU_thresh=0.5
Thank you for your quick response.
I noticed that the face_mask_detection.pth model also accepts 360x360 input data. Is that OK?
To avoid ambiguity: with IoU_thresh I meant IoU when calculating mAP not for NMS.
Which code did you use to calculate the mAP? I use evaluation code and validation for WiderFace (and equivalent: https://github.com/wondervictor/WiderFace-Evaluation) and got different results.
Regards.
If you use input size with 360, you'd better use model360.pth. face_mask_detection.pth can be loaded, however, the result may have some problem. I will remove the model360.pth when I have time. All the other models of tf, mxnet, caffe have exactly same result.
You can use any codes to calculate mAP as long as their codes is correct.
I write the evaluation codes by myself.
You can use any codes to calculate mAP as long as their codes is correct.
I write the evaluation codes by myself.
I try different codes for calculation mAP but couldn't get your result. Could you share your code, please.
Thank you.
Regards.