hand key points on the original image

[CURRYZJW]

Hello, thank you very much for your contribution, please how can I get the coordinates of the corresponding hand key points on the original image ...

[CURRYZJW]

2D skeleton

joint_img_xy1 = np.concatenate((joint_img[:,:2], np.ones_like(joint_img[:,:1])),1)
joint_img = np.dot(bb2img_trans, joint_img_xy1.transpose(1,0)).transpose(1,0)

I found that the generated hand key point information is not consistent with the coordinates of the pixels in the original image, what should I do?

[mks0601]

InterWild/demo/demo.py

Line 157 in 1a0da99

vis_skeleton = vis_keypoints_with_skeleton(vis_skeleton, joint_img, mano.sh_skeleton, color)

joint_img is in the original image space

[CURRYZJW]

Thanks, can you provide a little bit of the location of the distribution of the 21 keys in one hand.Like, which one is 0

[CURRYZJW]

Is that so?

[mks0601]

InterWild/common/utils/mano.py

Line 38 in 1a0da99

self.sh_joints_name = ('Wrist', 'Thumb_1', 'Thumb_2', 'Thumb_3', 'Thumb_4', 'Index_1', 'Index_2', 'Index_3', 'Index_4', 'Middle_1', 'Middle_2', 'Middle_3', 'Middle_4', 'Ring_1', 'Ring_2', 'Ring_3', 'Ring_4', 'Pinky_1', 'Pinky_2', 'Pinky_3', 'Pinky_4')

lower number means closer to the finger root

[CURRYZJW]

Thank you very much for your reply