fan23j / yolov5-vitpose-video-annotator Goto Github PK

Could you help me？

Greate jobs！ The jobs work fine when video just have one people. If there multiple people in the video，how can I track the one I need？ Great thx.

Hello, I have seen you from the issues of motionbert. Now I am using your warehouse to obtain json data, but the speed is very slow when I reason my own video on motionbert, 10s video takes more than ten minutes, and there are some warning messages, may I ask why?

MAGEIO FFMPEG_WRITER WARNING: input image is not divisible by macro_block_size=16, resizing from (923, 924) to (928, 928) to ensure video compatibility with most codecs and players. To prevent resizing, make your input image divisib

le by the macro_block_size or set the macro_block_size to 1 (risking incompatibility).

0% | ▋ | 1/296 [00:00 & lt; 04:16, 1.15 it/s] [

swscaler @ 000001df1adc4300] Warning: data is not aligned! This can lead to a speed loss

My testloader Settings are as follows: testloader_params = {

'batch_size': 1,

'shuffle': False,

'num_workers': 0,

'pin_memory': True,

'prefetch_factor': 2,

'persistent_workers': False,

'drop_last': False

}

Hi,
I download your ViTPose with Halpe model, and it works well. This model(vitpose-halpe-256x192.pth) supports halpe 26 keypoints, but I want 2 more keypoints(one in lefthand, another in righthand, both of which don't have to be very accurate ). Since vitpose-halpe-256x192.pth is so big( about 7.5GB), is it very difficult to train it? or more difficult for a custom 28 kpts model ? So, Could you give me some advice on how to train it? or is it a good idea to wait for someone else to share a hape wholebody model with hands keypoints?

Looking forward to your reply.

Thank you for your project, I am a novice, I would like to ask which yolov5 model file should be downloaded ?

Hi there!

Firstly, I'd like to extend my heartfelt gratitude for the incredible work on this project. The functionality and performance have been outstanding, and it's been instrumental in my current work involving pose estimation.

I'm currently utilizing the script to generate Alphapose-like outputs from VitPose, subsequently feeding this into MotionBert for 3D pose estimation. The results have been promising; however, I've encountered a specific challenge that I'd like to discuss.

In my current setup, I'm dealing with videos that feature multiple people. VitPose efficiently identifies all individuals, but for my purposes, I need to track a specific person through the video. This is crucial because, as noted in MotionBert documentation, they currently support single-person analysis only. In MotionBert, it's mentioned: "Note: Currently we only support single person. If your video contains multiple person, you may need to use the Pose Tracking Module for AlphaPose and set --focus to specify the target person id."

Given this requirement, I'm curious if we have a similar functionality in VitPose or if there's a workaround that can be implemented. Specifically, I'm looking for a feature that would allow me to select and track a single person in a video with multiple individuals, akin to the '--focus' option in AlphaPose.

Thank you once again for your amazing work and support.

Hi,
I have another question for you.
Your ViTPose with Halpe model works well with Pytorch. I sucessfully exported some official vitpose models to onnx/tensorrt file by mmdeploy(command is like this), but I don't know how to export from your Haple model. Could you share me some more infomation about your Halpe model?