3DMPPE_ROOTNET_RELEASE icon indicating copy to clipboard operation
3DMPPE_ROOTNET_RELEASE copied to clipboard

Official PyTorch implementation of "Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image", ICCV 2019

Results 21 3DMPPE_ROOTNET_RELEASE issues
Sort by recently updated
recently updated
newest added

Where are the coordinates of x and y predicted

Hello,how many frames does human36 test set generate a photo?Thank you

Hello, I have a problem that I cannot decompress the human image after downloading it. I opened the link in the readme, which showed three folders, including masks images and...

I download pre-trained file is successful , but when I unzip it. show error message "file format corrupt".

Hi, Thanks for making this awesome project open source. When I try to train the RootNet on the FreiHAND dataset, I fail to find the config for this dataset, such...

Hi, thank you for providing the code and such an insightful paper. I have a doubt.How to set root_depth_list based on our image.Looking forward to your reply

2d output image is coming fine but in case of 3d, points are not getting mapped properly. they are generating a wrong 3d figure. please help @mks0601 ![output_pose_2d](https://user-images.githubusercontent.com/44993632/140742725-f2344491-6953-434b-8c1b-0f8b252f3939.jpg) ![Screenshot from...