I expect the cyan skeletion in this image, this person.
Actual results
The Detectron's output puts the cyan skeletion in a neighboring picture...which results a very low detection rate on validation set.
Detailed steps to reproduce
I try to use detectron on posetrack's validation set [https://posetrack.net]. Unfortunately, it doesn't always put its predictions in the right picture. It sometimes puts them in a neighboring one, as I demonstrated above.
I wrote the code responsible for converting posetrack validation set's annotations into coco format. And I double checked that every image has its unique image_id. There's no two image use the same image_id. I don't think validation set's ground truth matters here, but I also double checked that the ground truth is the same before and after the conversion.
System information
Operating system: Ubuntu 16.04
CUDA version: 8.0
cuDNN version: 7.2.1
GPU models (for all devices): Titan XP
python version: 2.7.13
pytorch version: whatever version of caffe2 Detectron runs on.
Expected results
Actual results
Detailed steps to reproduce
I try to use detectron on posetrack's validation set [https://posetrack.net]. Unfortunately, it doesn't always put its predictions in the right picture. It sometimes puts them in a neighboring one, as I demonstrated above.
I wrote the code responsible for converting posetrack validation set's annotations into coco format. And I double checked that every image has its unique image_id. There's no two image use the same image_id. I don't think validation set's ground truth matters here, but I also double checked that the ground truth is the same before and after the conversion.
System information