movenet | Pose estimation with movenet and movenet lightning

by grausof Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | movenet Summary

movenet is a Python library. movenet has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Pose estimation with movenet and movenet lightning with python and tensorflow

Support

Quality

Security

License

Reuse

Support

movenet has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

movenet has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of movenet is current.

Quality

movenet has no bugs reported.

Security

movenet has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

movenet does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

movenet releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed movenet and discovered the below as its top functions. This is intended to give you an instant insight into movenet implemented functionality, and help decide if they suit your requirements.

Draws the prediction on an image .
Determine the crop region .
Return a list of keypoints and edge colors for each instance .
Determine the max_torso_ and body of a keypoint .
Initialize crop region .
Lists available ports .
Run model inference .
Check if the keypoint is visible in the right corner .
Returns a progress bar .
Crop the given image .

Get all kandi verified functions for this library.

movenet Key Features

No Key Features are available at this moment for movenet.

movenet Examples and Code Snippets

No Code Snippets are available at this moment for movenet.

Community Discussions

Trending Discussions on movenet

HOW TO run pose estimation on single image with TensorFlow-Lite?

Has anyone successfully run a MoveNet model using tflite in Flutter?

QUESTION

HOW TO run pose estimation on single image with TensorFlow-Lite?

Asked 2022-Feb-12 at 20:44

I recently used this sample of great TensorFlow lite in android.

I can use this project correctly, but I want to estimate poses on single images too (not just in real time mode). so I tried to reach my goal! but unfortunately I couldn't! and those disappointing codes are here:

...

ANSWER

Answered 2022-Feb-12 at 20:44

Fortunately my code is not wrong! and it works correctly. and you can use it!

The problem was in method that I used to convert my drawable image to Bitmap.

I used to use these codes:

Source https://stackoverflow.com/questions/71072292

QUESTION

Has anyone successfully run a MoveNet model using tflite in Flutter?

Asked 2022-Feb-12 at 02:21

I am trying to use MoveNet in Flutter using tflite. If anyone has experience with it or example with the implementation, an example would be appreciated.

...

ANSWER

Answered 2022-Feb-12 at 02:21

I have successfully implemented MoveNet singlepose lightning model with tflite_flutter on my Flutter application. You can refer to this repo I made: https://github.com/AGRapista/FitnessInstructor The code you should be interested in is in lib/test.dart

Source https://stackoverflow.com/questions/70975585

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install movenet

You can download it from GitHub.
You can use movenet like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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