Hi,

I’m having trouble achieving the same high-resolution results as shown in the README examples. I followed the tutorial steps provided in the README closely and recorded my video using an iPhone 13 Mini. Below are the detailed steps I took:

Steps Followed:

1. Uploaded an 8-second video of my hand (light conditions were good).
2. Split the video into frames.
3. Created frame_list_test.txt and frame_list_train.txt based on the frames.
4. Ran RobustVideoMatting to generate the mask data.
5. Ran Mediapipe to extract the keypoint data.
6. Ran Depth-Anything-V2 to generate the depth maps.
7. Ran InterWild to generate the mano_params data.
8. Created the cam_param.json file using the following script:

   import math
   import json
   
   # Frame dimensions
   img_width = 720
   img_height = 1080
   
   # Principal point (center of the image)
   princpt_x = img_width / 2
   princpt_y = img_height / 2
   
   # Horizontal Field of View (HFOV) in degrees
   HFOV_deg = 73
   HFOV_rad = math.radians(HFOV_deg)
   
   # Compute focal length in pixels
   focal_length_px = (img_width / 2) / math.tan(HFOV_rad / 2)
   
   # Create camera parameters dictionary
   cam_param = {
       "focal": [focal_length_px, focal_length_px],  # Assuming fx = fy
       "princpt": [princpt_x, princpt_y]
   }
   
   # Save to cam_param.json
   cam_param_path = '/content/UHM/data/Custom/data/YourSubjectName/0/cam_param.json'
   with open(cam_param_path, 'w') as f:
       json.dump(cam_param, f, indent=4)

9. Placed and arranged all the models as per the README instructions.
10. Ran the training script. After training completed, I received 10 snapshot files (snapshot_10.pth through snapshot_99.pth).
11. Tested with snapshot 99 using the following command:

    %cd /content/UHM/Avatar/main/
    !python test.py --subject_id TomerSubject1 --test_epoch 99

12. Ran the test script again with the texture flag:

    %cd /content/UHM/Avatar/main/
    !python test.py --subject_id TomerSubject1 --test_epoch 99 --use_tex

13. Finally, ran the test script with the fit_pose_to_test flag:

    %cd /content/UHM/Avatar/main/
    !python test.py --subject_id TomerSubject1 --test_epoch 99 --use_tex --fit_pose_to_test

Issue:

Despite following all these steps, the resulting videos/meshes are not as accurate or detailed as I had hoped. I’ve attached all the data I used for reference. Could you please review it and help me figure out what I might be doing wrong? Any tips to achieve better results would be greatly appreciated!
my results + data:
https://drive.google.com/drive/folders/1CFGv7VChYxkTQOsNI_FevL7HMAB9cc6V?usp=sharing

Thanks in advance,
Brio