Git Product home page Git Product logo

trackinglaboratory / tracklab Goto Github PK

View Code? Open in Web Editor NEW
73.0 6.0 11.0 73.7 MB

A modular end-to-end tracking framework for research and development

Home Page: https://trackinglaboratory.github.io/tracklab/

License: MIT License

Python 99.65% Shell 0.09% Jupyter Notebook 0.25%
deep-learning machine-learning python pytorch reidentification tracking tracking-algorithm hydra multi-object-tracking

tracklab's People

Contributors

aghasemzadeh avatar bstandaert avatar matty22396 avatar silviogiancola avatar victorjoos avatar vlsomers avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar  avatar  avatar  avatar  avatar

tracklab's Issues

pose_bottomup results not showing in video nor in state file

Thanks a lot for the great codebase!

I have been having trouble obtaining any pose estimation results, like the ones shown on the Readme file (https://github.com/TrackingLaboratory/tracklab/blob/main/docs/assets/gifs/PoseTrack21_008827.gif). There also seems to be no entry related to pose estimation in the state saving file when testing the pipeline on soccernet samples . What is the recommended setup to generate pose estimation results?

I have
1) changed the draw_keypoints and draw_skeleton flags in the config file
2) added a pose_bottomup module to the pipeline (logging clearly shows: yolov8->yolov8->...).
3) lowered the min_confidence
However, despite all this, I do not have any pose estimation results appearing on the video, nor in the .pklz state file.

Also, OpenPifPaf hangs on my machine (TitanXP, 64 GB RAM) when performing pose estimation.

Thanks a lot for your help โ˜บ

configs/modules/pose_bottomup/yolov8_pose.yaml missing

Hello! was trying to learn how to use a custom detection module and was having problems with the importing part. Following the tutorial to add yolov8_pose it says there should a config example in configs/modules/pose_bottomup/yolov8_pose.yaml but it's not there.

Using custom configs and modules located outside the tracklab and sn-gamestate directories

Hello! been trying to learn how to use tracklab on the past days, so far managed to add my own object detection module. To do that I needed to add a custom config yaml to sn_gamestate/configs/custom_config.yaml, a module config yaml to tracklab/configs/modules/bbox_detector/fake_yolov8.yaml and finally the actual module to tracklab/wrappers/detect_multiple/fake_yolov8.py. This is currently working as desired by running tracklab -cn custom_config

The issue is that all those files had to be added to the cloned sn-gamestate and tracklab directories. What would I have to change if I wanted to have those configs on a custom directory outside of tracklab and sn_gamestate?

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.