cherryjm

> And I find some package error > Traceback (most recent call last): > File "/home/qwe/Desktop/mmpose/tools/dataset/preprocess_h36m.py", line 15, in > from spacepy import pycdf > File "/home/qwe/anaconda3/envs/mm/lib/python3.7/site-packages/spacepy/pycdf/**init**.py", line 1288, in...

The folder "50fps" will be generated automatically by running the preprocessing script with `sample_rate=1`. The default `sample_rate` is 5, which will result in 10fps annotations.

It depends on which model you use. For example, we use 50fps data to train and evaluate [SimpleBaseline3D](https://github.com/open-mmlab/mmpose/blob/master/configs/body/3d_kpt_sview_rgb_img/pose_lift/h36m/simplebaseline3d_h36m.py#L171). Please refer to configs for detailed data configurations.

Hi @zeliu98 ! I set the batch size to 1, but the problem still exists.

> sudo apt intall openssl 您好，libsodium和openssl都已安装，但还是不能翻墙

 This is the 3D-to-2D function you offered. Below is the inverse function I wrote.  I wrote this function to transform depth map into point cloud, but the result...

Hi @gulvarol ! Sorry to bother you. But I want to know whether the depth maps are ground truth? ``` def project_vertices(points, intrinsic, extrinsic): homo_coords = np.concatenate([points, np.ones((points.shape[0], 1))], axis=1).transpose()...

Hi @legoc1986 @hanabi7 , I have solved this problem. I thought the error may come from a false projection process. I transform the joint coordinates to the camera coordinate by...

Actually, it is not possible to get the exactly same joint coordinates as GT using 2D coordinates and the corresponding depth value. I tested before and found that there would...