evaluation results about tf-cpn

[chenyilun95]

Your result is similar to #11 . I think there is something wrong while testing. I found your testing images are
40504 unique images. We test the results on the COCO minival dataset which contains 5000 images and so as the provided detection boxes. You might get the wrong human detection in your dataset.

[ouceduxzk]

Thanks for your quick reply, you are right that my val json files is not the same, I am using the person_keypoints_val2014.json , can you provide those json files, in coco dataset official website, they are not existing anymore

[chenyilun95]

COCO 2014 minival json and its detection result json is provided.

[ouceduxzk]

Thanks, now it looks normal

DONE (t=0.37s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets= 20 ] = 0.697
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets= 20 ] = 0.883
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets= 20 ] = 0.770
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets= 20 ] = 0.662
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets= 20 ] = 0.761
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 20 ] = 0.764
Average Recall (AR) @[ IoU=0.50 | area= all | maxDets= 20 ] = 0.927
Average Recall (AR) @[ IoU=0.75 | area= all | maxDets= 20 ] = 0.823
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets= 20 ] = 0.715
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets= 20 ] = 0.830