HandPose | python program to detect and classify hand | Machine Learning library

 by   MrEliptik Python Version: 1.0 License: MIT

kandi X-RAY | HandPose Summary

kandi X-RAY | HandPose Summary

HandPose is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow, OpenCV applications. HandPose has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

[ WORKING] (See the TODO list below for future improvements). A program to recognize hand pose from an RGB camera.
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            kandi-support Support

              HandPose has a low active ecosystem.
              It has 224 star(s) with 70 fork(s). There are 9 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 1 open issues and 13 have been closed. On average issues are closed in 12 days. There are 5 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of HandPose is 1.0

            kandi-Quality Quality

              HandPose has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              HandPose is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              HandPose releases are available to install and integrate.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed HandPose and discovered the below as its top functions. This is intended to give you an instant insight into HandPose implemented functionality, and help decide if they suit your requirements.
            • Train the model
            • Read data from pose
            • Load data
            • Split the data into train and test sets
            • Download gohands dataset
            • Generate csv files
            • Extract the egohands dataset
            • Rename all images in image_dir
            • Load a label map
            • Validates the label map
            • Loads a label map
            • Load inference graph into memory
            • Classify an image
            • Draw inferences
            • Main function
            • Update the current thread
            • Start the thread
            Get all kandi verified functions for this library.

            HandPose Key Features

            No Key Features are available at this moment for HandPose.

            HandPose Examples and Code Snippets

            No Code Snippets are available at this moment for HandPose.

            Community Discussions

            QUESTION

            @tensorflow-models/handpose returns empty array
            Asked 2022-Jan-25 at 13:19

            I am trying to implement the hand-pose detection of tensorflow.js in an Angular-Project. I created a new angular project.

            ...

            ANSWER

            Answered 2022-Jan-25 at 13:19

            I found the solution:

            The Problem wasn´t in the code. I put a different jpg which is apparently easier to process. With the new jpg the above code works just fine.

            Source https://stackoverflow.com/questions/70807101

            QUESTION

            Project 3D mesh on 2d image using camera intrinsic matrix
            Asked 2021-Dec-16 at 05:51

            I've been trying to use the HOnnotate dataset to extract perspective correct hand and object masks as shown in the images of Task-3 of the Hands-2019 challenge.

            The data set comes with the following annotations:

            ...

            ANSWER

            Answered 2021-Dec-16 at 05:51

            Turns out there is an easy way to do this task using Open3D and the camera intrinsic values. Basically we instruct Open3D to render the image from the POV of the camera.

            Source https://stackoverflow.com/questions/70273002

            QUESTION

            Component Exception Element type is invalid in react native
            Asked 2021-Sep-03 at 06:19

            In My React Native App.js I have the following code

            ...

            ANSWER

            Answered 2021-Sep-03 at 06:19

            I don't think there's a Canvas component from react-native. You are trying to import something that is not there in the actual react-native framework.

            remove import Canvas from react-native.

            To implement canvas, you can use this plugin instead https://www.npmjs.com/package/react-native-canvas

            Source https://stackoverflow.com/questions/69040162

            QUESTION

            Handpose tfjs Error - No backend found in registry
            Asked 2020-Nov-28 at 17:26

            When trying to run a demo project for Handpose tfjs, I get the below error.

            My package.json file has below dependencies:

            ...

            ANSWER

            Answered 2020-Jun-03 at 20:36

            QUESTION

            Is there a javascript implementation of MediaPipe's Palm Tracking?
            Asked 2020-Nov-13 at 16:27

            I found a javascript implementation of MediaPipe's FaceMesh and HandPose but not Palm Tracking.

            ...

            ANSWER

            Answered 2020-Nov-13 at 16:27

            They currently do not have a javascript API for hand tracking.

            Source https://stackoverflow.com/questions/63955968

            QUESTION

            How to run handpose tfjs model in web worker
            Asked 2020-Oct-07 at 18:20

            I want to use webcamera to get frame and run tensorflow model "handpose" for estimating hand visibility. As we know, handpose model is a little slow so i try to move estimating to web worker.

            the problem is HTMLVideoElement object could not be cloned. (I need to pass video to estimateHand method).

            Is it possible to do it in another way?

            web worker:

            ...

            ANSWER

            Answered 2020-Oct-07 at 18:20

            Ok, I found the solution. It's so good that we can't pass HTML elements as parameters to web worker, but ofc we can play with canvas context as below:

            Source https://stackoverflow.com/questions/64249599

            QUESTION

            How can I get continuous landmarks from video for Mediapipe Handpose
            Asked 2020-Aug-12 at 23:02

            I am new to Javascript. I am trying to get output from MediaPipe Handpose. When I give an image into this model, I easily get an output. But when I try for a video, it doesn't work. This is the head

            ...

            ANSWER

            Answered 2020-Aug-12 at 23:02

            I am updating my previous answer. You don't want to use set interval like I put in my former solution. When I used it for more than a few minutes it filled up my gpu memory and crashed webgl. I was able to comb through the developers demo.js file, and found a solution. In your js file replace your main() function with the below code:

            Source https://stackoverflow.com/questions/63136663

            QUESTION

            tfjs-core reference suddenly stop working and shows "No backend found in registry." error
            Asked 2020-Jun-04 at 00:05

            I'm working on a demo project involving Handpose and tensorflow libraries. Everything was working okay, but now, having done no changes to both the code nor the environment, the following error shows up:

            ...

            ANSWER

            Answered 2020-Jun-04 at 00:05

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

            Vulnerabilities

            No vulnerabilities reported

            Install HandPose

            These instructions will help you setting up the project and understanding how the software is working. You'll see the file structure and what each file does.

            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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            CLONE
          • HTTPS

            https://github.com/MrEliptik/HandPose.git

          • CLI

            gh repo clone MrEliptik/HandPose

          • sshUrl

            git@github.com:MrEliptik/HandPose.git

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