hand-gesture-recognition | Gesture recognition using OpenCV and Python | Computer Vision library

 by   avidLearnerInProgress Python Version: Current License: No License

kandi X-RAY | hand-gesture-recognition Summary

kandi X-RAY | hand-gesture-recognition Summary

hand-gesture-recognition is a Python library typically used in Artificial Intelligence, Computer Vision, Deep Learning, OpenCV applications. hand-gesture-recognition has no bugs, it has no vulnerabilities and it has low support. However hand-gesture-recognition build file is not available. You can download it from GitHub.

Gesture recognition using OpenCV and Python
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            kandi-support Support

              hand-gesture-recognition has a low active ecosystem.
              It has 8 star(s) with 6 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 1 open issues and 0 have been closed. On average issues are closed in 467 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of hand-gesture-recognition is current.

            kandi-Quality Quality

              hand-gesture-recognition has no bugs reported.

            kandi-Security Security

              hand-gesture-recognition has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              hand-gesture-recognition does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              hand-gesture-recognition releases are not available. You will need to build from source code and install.
              hand-gesture-recognition has no build file. You will be need to create the build yourself to build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed hand-gesture-recognition and discovered the below as its top functions. This is intended to give you an instant insight into hand-gesture-recognition implemented functionality, and help decide if they suit your requirements.
            • Compute the ROI co - ordinates of the video
            • Count the number of extremefingers in a segmented region
            • Return the segmentation of a binary image
            • Capture the screen
            • Compute the running average image
            Get all kandi verified functions for this library.

            hand-gesture-recognition Key Features

            No Key Features are available at this moment for hand-gesture-recognition.

            hand-gesture-recognition Examples and Code Snippets

            No Code Snippets are available at this moment for hand-gesture-recognition.

            Community Discussions

            QUESTION

            Getting the "ValueError: Shapes (64, 4) and (64, 10) are incompatible" when trying to fit my model
            Asked 2021-May-02 at 05:38

            I am trying to write my own neural network to detect certain hand gesture, following the code found from https://www.kaggle.com/benenharrington/hand-gesture-recognition-database-with-cnn/execution.

            ...

            ANSWER

            Answered 2021-May-02 at 05:38

            The problem here is the output labels, you didn't specify what data you used but its due to the number of labels for the output

            Its a simple fix if you change from 10 to 4

            Source https://stackoverflow.com/questions/67352985

            QUESTION

            Languages to develop applications for Xbox 360 kinect
            Asked 2021-Feb-03 at 13:26

            I know this sounds stupid and I'm propably very late to the party but here's the thing I want to program an gesture recogniction application (in the likes of this Hand detection or this actual finger detection) for the Xbox 360 Kinect. SDK (version 1.8) is found, installed and works, preliminary research is done - I only forgot to look in which language to write the code. The link from the SDK to the documentation would be the first thing to do but is a dead end, unfortunately.
            From the provided examples it seems either to be C++ or C# although some old posts also claim Java. My question is: Is there a documentation not tied to the SDK and which pitfall are there in regard to developing in this specific case under C++/C#/Java? A post from 2011 barely covers the beginning.

            Addendum: On further looking I was prompted for the Samples site from the developer toolkit - which can be reached, yet all listed and linked examples are dead ends too.

            Addendum: For reference I userd this instruction - ultimately proving futile.

            Found an version of NiTE here

            ...

            ANSWER

            Answered 2021-Jan-19 at 22:29

            I've provided this answer in the past.

            Personally I've used the Xbox360 sensor with OpenNI the most (because it's cross platform). Also the NITE middleware on alongside OpenNI provides some basic hand detection and even gesture detection (swipes, circle gesture, "button" push, etc.).

            While OpenNI is opensource, NITE isn't so you'd be limited to what they provide.

            The links you've shared use OpenCV. You can install OpenNI and compile OpenCV from source with OpenNI support. Alternatively, you can manually wrap the OpenNI frame data into an OpenCV cv::Mat and carry on with the OpenCV operations from there.

            Here's a basic example that uses OpenNI to get the depth data and passes that to OpenCV:

            Source https://stackoverflow.com/questions/65778896

            QUESTION

            How to know if I need to reverse the thresholding TYPE after findContour
            Asked 2019-Jul-10 at 12:37

            I'm working with OpenCV on hand detection. But I'm struggling when trying to contours of the threshed image. findContour will always try to find white area as contour.

            So basically it works in most cases but sometimes my threshed image looks like this :

            _, threshed = cv2.threshold(gray, 127, 255, cv2.THRESH_BINARY|cv2.THRESH_OTSU)

            So to make it works I just need to change the threshold type cv2.THRESH_BINARY_INV.

            _, threshed = cv2.threshold(gray, 127, 255, cv2.THRESH_BINARY_INV|cv2.THRESH_OTSU)

            And it works well.

            My question is how can I determine when the threshold need to be reversed ? Does I Need to always found contours on both threshed images, and compare the result (I this case How ?) ? or there is a way to allays knows if contours are not totally missed.

            EDIT : There is a way to be 100% sure contour looks like a hand ?

            EDIT 2 : So I forgot to mention that I'm trying to detect fingertips and defects using this method so I need defects, which with the first threshed image I can't find them, because it reversed. See blue point on the First contour image.

            Thanks.

            ...

            ANSWER

            Answered 2019-Jul-10 at 12:37

            You can write a utility method to detect the most dominant color along the border and then decide the logic, as if you want to invert the image or not, so the flow may look like:

            1. Use OSTU binarization method.
            2. Pass the thresholded image to utility method get_most_dominant_border_color and get the dominant color.
            3. If the border color is WHITE, then you should invert the image using cv2.bitwise_not, else keep it that way only.

            The get_most_dominant_border_color could be defined as:

            Source https://stackoverflow.com/questions/56967542

            QUESTION

            Hand recognition script for OpenCV+Python not working
            Asked 2018-Dec-07 at 03:02

            I'm trying to get the following script to work. I found it from this website but I keep getting the error :

            contours, hierarchy = cv2.findContours(thresh1,cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE) ValueError: too many values to unpack (expected 2)

            I have little experience in Python and OpenCV so if anyone here can help that would be much appreciated! I'm running Mac OS X 10.13.4, OpenCV 3.4.1, Python 3.6.5 and

            Here is the script I'm trying to get work :

            ...

            ANSWER

            Answered 2018-Dec-07 at 03:02

            The function cv2.fincContours has changed since OpenCV 3.x , and back in OpenCV 4.x . Try this:

            Source https://stackoverflow.com/questions/50850937

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

            Vulnerabilities

            No vulnerabilities reported

            Install hand-gesture-recognition

            You can download it from GitHub.
            You can use hand-gesture-recognition 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.

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