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This repository has been archived by the owner on Jun 13, 2024. It is now read-only.
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.
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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: