Hi,
I'm trying to implement the algorithm from the paper and encountering some issues.
I'm training on the FreiHand dataset for now. I normalize the images before inserting them to the model.
I implemented the loss as described in the paper (and projected the 3D joints to 2D), but the output looks like garbage.
Maybe I'm missing some pre-processing steps on the input images? Or maybe you have some insights you can provide beyond what's described in the paper?
Thanks in advance
@tamarloeub
It's hard to say the problem given so less information. I would suggest you refer to some similar repos with train code released, such as HandMesh.
Hi, I'm trying to implement the algorithm from the paper and encountering some issues. I'm training on the FreiHand dataset for now. I normalize the images before inserting them to the model. I implemented the loss as described in the paper (and projected the 3D joints to 2D), but the output looks like garbage. Maybe I'm missing some pre-processing steps on the input images? Or maybe you have some insights you can provide beyond what's described in the paper? Thanks in advance