You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
From COCO dataset, the valid of joint are 0 for not in the image, 1 for in the image but not visible, and 2 for in the image and visible. How do you encode this into heatmap? If valid is 0, it will be zero matrix? if it's 1 or 2, it will be heatmap with 1 peak? Am I right?
The loss function when training, It's MSE between predicted heatmaps and targeted heatmaps according to the paper. Do I have to multiply with valid? or it's not needed?
All the best,
Than
The text was updated successfully, but these errors were encountered:
From COCO dataset, the valid of joint are 0 for not in the image, 1 for in the image but not visible, and 2 for in the image and visible. How do you encode this into heatmap? If valid is 0, it will be zero matrix? if it's 1 or 2, it will be heatmap with 1 peak? Am I right?
Hi, They use 2D Gaussian centered to generate heatmap.
Hi,
I am confusing about heatmap generation.
From COCO dataset, the valid of joint are 0 for not in the image, 1 for in the image but not visible, and 2 for in the image and visible. How do you encode this into heatmap? If valid is 0, it will be zero matrix? if it's 1 or 2, it will be heatmap with 1 peak? Am I right?
The loss function when training, It's MSE between predicted heatmaps and targeted heatmaps according to the paper. Do I have to multiply with valid? or it's not needed?
All the best,
Than
The text was updated successfully, but these errors were encountered: