Comments (6)
Hi,
There are some things to check
- Is the gt 2d pose aligned with the image?
- Does the scale of
data['pred_pose2d']
match the image's width and height?
I think the visualization code in get_item
should work ok, could you provide your visualization?
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This command I used for testing
"python main/test.py --cfg asset/yaml/posenet_cocoJ_test_3dpw.yml"
One example looks like this. The 2D pose and image are not aligned. However, I checked the 3D pose looks fine.
and also I found that the evaluation result is strange. It seems like something is wrong.
MPJPE: 263.8583
Evaluation start...
COCO MPJPE (mm) >> tot: 263.87
COCO PA-MPJPE (mm) >> tot: 114.80
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Hmm, I recently changed the 3dpw annotation files and maybe that's the problem.
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I see. Can you share the previous one?
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I got the previous annotation file here.
kasvii/GATOR#2
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@moonsh Sorry for the late reply. I updated the annotation files and checked the visualization. And thank you for letting me know.
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Related Issues (20)
- with 3d openpose dataset HOT 1
- About Train pose2mesh freihand HOT 1
- How can i get the demo input about hand?(like human_joint_input.npy) HOT 1
- Question about evaluation on 3DPW HOT 7
- How can i get the demo input about human(smpl)? HOT 4
- retrain for the upper body only HOT 1
- Question about preprocessing SURREAL. HOT 1
- Can I input a picture of my hand to create a 3D model of the shape HOT 1
- About MeshNet with 3D gt as input! HOT 7
- Estimation uncertainty problem
- About the loss weight during training HOT 1
- Recover joint angles from mesh HOT 2
- The input of Multiple People demo is not available HOT 2
- Multiple 3D pose from different angles as input and paint the texture to the generated model HOT 4
- Could you also release the pre-train model for meshnet HOT 1
- Queries in regards to shape parameters and results HOT 2
- Keypoints Conversion - SMPL to COCO HOT 1
- adding synthesis errors on hand joints HOT 1
- How to train Joint regressor for a different dataset HOT 3
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