Comments (5)
Hello and thanks for your great work. I'm trying to understand your network. Which version of the Human3.6 dataset have you used? As I know, this dataset contains images, each with a single person, so how did you trained your network to work on multi-person cases?
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The human detector detects all humans in the input image and my PoseNet takes a cropped human image.
Please check out my paper.
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Thanks for your answer. I found two version of the human3.6 dataset in the imar website. The first one contains a complete dataset and the other one which has smaller size and designed for ECCV dataset. Which version have you used?
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You can download preprocessed h36m data in README.
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https://github.com/mks0601/3DMPPE_POSENET_RELEASE/blob/master/README.md
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Related Issues (20)
- Keypoints probability HOT 3
- 2.6Mdatasets
- Human3.6M
- Run environment and video tests.
- Run my own img on demo.py HOT 4
- something about bbox_list HOT 2
- something about dataset HOT 2
- Some extended problems
- about h36m parsing. HOT 1
- Problems with Reproduced Papers HOT 12
- Problem when visualize on MuPoTS using bbox_root provided by RootNet
- Change resnet type HOT 5
- Question regarding bbox and rootNet HOT 2
- Extracting human36 parsed images HOT 12
- About inference my own images HOT 4
- PoseNet HOT 9
- about human36 data File name format HOT 6
- other public datasets,overfitting issue HOT 6
- about datasets Human3.6m HOT 3
- Question about pretrained model used in demo. HOT 2
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