mmpose

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Pretrained voxelpose with custom data

4

I would like to use pretrained voxelpose model with custom data from 4 cameras. My setup and experiments: To the inference I supply 4 frames and 4 sets of camera...

Westerby

will you provide more 3d pose method

3

will you provide more 3d pose method, now mmpose only support simplebaseline and videopose

akk-123

Train smoothnet using 3D pose data in mmpose

1

Thanks for your open-sourcing smoothnet! I already read the smoothnet paper, and find it inputs the pose data produced by SPIN/VIBE. So, I want to how to retrain smoothnet in...

qinb

Is it possible to train rokoko dataset in mmpose?

4

Thanks for your feature request and we will review and plan for it when necessary. If you feel we have helped you, give us a STAR! :satisfied: **Steps** 1. Check...

fredyu

Loading checkpoint is too slow

3

I firstly trained the model on servers and now I try to load it on desktop (Windows with 3090 CUDA11.4 pytorch1.10) I ran the demo and it was stuck at...

bzfather

How Do I used a COCO Annotated Custom Keypoint Dataset for Custom Objects in MMPose

15

Hi, I have annotated a custom dataset in COCO Format with keypoints. It's a square object where the keypoints are the corners. My simple question is how do I use...

AliButtar

3D Pose estimation on custom data

1

Hi, I'm trying to lift 2D pose to 3D using custom model and custom data. My 2D pose estimation model outputs the 17 COCO keypoints in [0,1] interval. My model...

userVl

How to train hrnet_w48 with DeepposeRegression process

1

Dear, I am now trying to fine-tune model of 2d hand pose. However, I found that mmpose didn't train too much deeppose 2d hand pose. I want to use Hrnet_W48...

tiger990111

This is our iteration plan for MMPose v0.26.0 ### Algorithms - [ ] Support [Residual Log-likelihood Estimation](https://arxiv.org/abs/2107.11291) (ICCV'21, Oral) @Indigo6 #1259 - [ ] Support [Swin-Pose](https://arxiv.org/abs/2201.07384) (arXiv'22) @yumendecc #1230 -...

ly015

Inference speed is low

14

Config: "configs/body/2d_kpt_sview_rgb_img/topdown_heatmap/coco/hrnet_w32_coco_256x192.py", model: "https://download.openmmlab.com/mmpose/top_down/hrnet/hrnet_w32_coco_256x192-c78dce93_20200708.pth" FPS: 3-4 torch 1.10.1+cu113 CUDA 11.3 GPU: Nvidia Geforce GTX 1660 Ti According to this [Link](https://mmpose.readthedocs.io/en/latest/inference_speed_summary.html ) I should get at least 6-7 FPS. @piercus Help...

Harsh-Vavaiya