Comments (1)
Nicholasli1995
commented on July 23, 2024
Hi, you can detect 2D pose with h36m2Dpose.py and then run 2D-to-3D lifting. See #29 for example.
Hi, is it possible to perform inference from a single image chosen by me? I've noticed that, inside the examples folder, there is a file called "inference.py" but it uses the file "example_annot.npy" that contains the pre-calculated 2D key-points of the test images you say to download. Will a version of the inference code be released that will allow a single image (thus different from the ones you propose) to be used to test the network?
Thanks
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Related Issues (20)
- Training with less joints HOT 2
- Regarding the 2D HPE model HOT 2
- training input size and inference input size not match HOT 32
- Location of the hip/pelvis joint? HOT 6
- camera params in cameras.npy HOT 2
- generating other poses from a known pose HOT 7
- ImportError: No module named libs.hhr.config HOT 3
- AttributeError: module 'libs.utils' has no attribute 'utils' HOT 5
- 2d poses from 3d pose HOT 11
- 2D to 3D with own data HOT 6
- weird 3D Pose
- Input of the plot_distribution in anglelimits.py HOT 4
- Inconsistency between pretrained HRNet 2D detector and twoDPose_HRN.npy HOT 7
- Data Preprocessing when test on 3dhp dataset HOT 3
- Obtain 3D skeleton with 2D key-points as inputs using SMPLify by own data HOT 3
- Source of 2D keypoints when eval on 3dhp dataset HOT 1
- Preprocessed npz file of HRNet HOT 1
- About 2D anchor of the cropped image HOT 3
- Regarding h36m image HOT 5
- 模型下载问题 HOT 1
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