Giter Club home page Giter Club logo

cvtoolkit's People

Contributors

lxy5513 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

Watchers

 avatar  avatar  avatar  avatar

cvtoolkit's Issues

Issue with demo.py

Traceback (most recent call last):
  File "demo.py", line 408, in <module>
    light_track_camera(pose_estimator, video_capture)
  File "demo.py", line 111, in light_track_camera
    human_candidates = get_human_bbox(cur_img, yolo_model)
  File "demo.py", line 57, in get_human_bbox
    bboxs, probs = inference(image, model)
  File "C:\Pytorch\cvToolkit\pose_track\lighttrack\human_detector.py", line 137, in inference
    im_dim_list = torch.index_select(im_dim_list, 0, output[:,0].long())
TypeError: 'NoneType' object is not subscriptable

When trying to run it on a video

Converted Coreml output model is not the same as the original model

Hi,
I have converted HRNET model for pose estimations from pytorch to coreml successfully. But the output of the converted model is not as in pytorch model.
I mean: the output of the model is the body joints keypoints, the issue in converted coreml is that the predicted keypoints are not exactly at the same position on human on the camera. (All keypoints are there but a little bit moved when you visualize them).

Any suggestion?

Questions and feedback ?

Hi @lxy5513 , i really appreciate the effort you put in to make cvToolBox I was interested to compile Hrnet but i get always get some error . I had tried to use your standalone Hrnet implementation but failed to run it. Instead i had to try other implementation smpleHrNEt. And i guess i have to compile Hrnet to run the the pose track ? For me , i dont know what is the issue and why i cant compile it straight forward. So i was wondering if there is something i am missing totally ?

Error shown now

cd nms; python setup_linux.py build_ext --inplace; rm -rf build; cd ../../
Traceback (most recent call last):
  File "setup_linux.py", line 12, in <module>
    from Cython.Distutils import build_ext
ImportError: No module named Cython.Distutils

It would be great otherwise to use the work you have done . I hope you understand .

Make version

make --version
GNU Make 4.1
Built for x86_64-pc-linux-gnu
Copyright (C) 1988-2014 Free Software Foundation, Inc.
License GPLv3+: GNU GPL version 3 or later <http://gnu.org/licenses/gpl.html>
This is free software: you are free to change and redistribute it.
There is NO WARRANTY, to the extent permitted by law.

And my installed packages

.      Successfully uninstalled tqdm-4.32.2
Successfully installed Cython-0.29.11 Markdown-2.6.11 Pillow-5.1.0 PyYAML-5.1.1 Werkzeug-0.14.1 absl-py-0.2.2 astor-0.6.2 backcall-0.1.0 bleach-1.5.0 certifi-2018.4.16 easydict-1.9 gast-0.2.0 grpcio-1.12.0 html5lib-0.9999999 imageio-2.3.0 ipdb-0.12 ipython-7.6.1 jedi-0.14.0 kiwisolver-1.0.1 matplotlib-3.1.1 numpy-1.14.3 opencv-python-4.1.0.25 parso-0.5.0 pexpect-4.7.0 prompt-toolkit-2.0.9 protobuf-3.5.2 python-dateutil-2.7.3 pytz-2018.4 setproctitle-1.1.10 tensorboard-1.8.0 tornado-5.0.2 tqdm-4.32.1

In Ubuntu 18.04

求更新

朋友你这个代码里面有些逻辑有问题,什么时候更新一下版本啊

Posetrack module to simple HrNET

Hi
I was wondering if we can add the pose track module to the simple HrNEt. In your implementation , you use CUDA to compile and exeture simple hrnet. I was wondering if we could use this simpler module simplehrnetcpu. Then it gives the versatility to the whole toolkit. If i understand correctly you can run posetrack it as a standalone module right ?

train gcn

请问如何对gcn进行训练?

keypoints are in different location than the original image with inference #51

Hi, thanks for your work
when i tested the hrnet and higher hrnet for inference. the drawn avatar was in different location than the camera.
when i test on video or image, things are good and in same location, it only differ for inference and this case only with hrnet (not for other models).
any suggestion on this?

Recommend Projects

  • React photo React

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

  • Vue.js photo Vue.js

    🖖 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. 📊📈🎉

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 ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.