Comments (10)
You can download renamed images from my README (https://drive.google.com/drive/folders/1kgVH-GugrLoc9XyvP6nRoaFpw3TmM5xK?usp=sharing)
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@mks0601 Thanks, I get it.But the name of images seems processed.So, Could I get the code or the method how you process them from original data?
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You can just download all images and annotation files from google drive and there would be no problem because the images in the google drive are already processed (renamed).
If you want to process them by yourself, you can use this code (https://github.com/mks0601/3DMPPE_POSENET_RELEASE/tree/master/tool/Human36M)
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@mks0601 Hi,I still have a question after checking the file you provide. I did not find the correspondence between cam_id ([1,2,3,4]) and cam name of raw data ('54138969', '55011271' ,'58860488', '60457274').
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I wrapped all data into .json
files. You can see the camera parameters identified by cam_id
at annotations.zip
from here. Please check Human36M_subject*_camera.json
.
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@mks0601 I have checked Human36M_subject*_camera.json, but I only found the cam_id and its 'R','t','f','c'.And I still do not know which cam_id is '54138969', which is '55011271'.('54138969', '55011271' ,'58860488', '60457274'). So I want to know the cam_id correspond which name ('54138969', '55011271' ,'58860488', '60457274').
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I didn't save that information, but could you tell me why do you need that? All camera parameters are already available in my json files. If you want to know that, maybe you can just compare several images from camera '54138969' and my cam_id 0 images?
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@mks0601 Because the dataset is so large that I don not want to download it again since I had have the h36m dataset which download from official network. But I want use your SMPL parameters, so I need to know the corresponding.
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54138969: cam_id 1
55011271: cam_id 2
58860488: cam_id 3
60457274: cam_id 4
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thanks very much. I guess I could matching it. @mks0601
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Related Issues (20)
- I have googled it, but it has not been solved yet. I have the following problem, please help me
- The provided freihand pose param is different from freihand origin dataset HOT 3
- help for size mismatch problem HOT 1
- Training Settings for FreiHAND HOT 6
- Question about downsampled mesh performance HOT 1
- MSCOCO Background HOT 3
- issues about mano param in freihand dataset HOT 1
- pytorch matrix size incorrect HOT 1
- bbox_root_freihand_output.json HOT 2
- training the rootnet with Freihand Dataset. HOT 3
- the focal of rootnet training HOT 1
- Change to MANO in demo.py HOT 1
- The thickness of the generated mesh HOT 2
- when running the command: python demo.py --gpu 3 --stage param --test_epoch 8 I get the following error, can someone help me please to solve it HOT 1
- clarification of OLD issue - Smpl body to image projection
- Question about joint numbers HOT 3
- KeyError: 'mesh_coord_cam' HOT 4
- Issue about h36m_smpl dataset HOT 11
- Issue about h36m dataset HOT 4
- freihand_train_data.json format HOT 2
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