Open bato64 opened 4 years ago
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.
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.