HandTracker | Detect 3d hand landmark from video stream | Video Utils library

by noppefoxwolf Swift Version: 1.3 License: No License

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

kandi X-RAY | HandTracker Summary

HandTracker is a Swift library typically used in Video, Video Utils, OpenCV applications. HandTracker has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Detect 3d hand landmark from video stream.

Support

Quality

Security

License

Reuse

Support

HandTracker has a low active ecosystem.

It has 68 star(s) with 16 fork(s). There are 2 watchers for this library.

It had no major release in the last 12 months.

There are 3 open issues and 2 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of HandTracker is 1.3

Quality

HandTracker has no bugs reported.

Security

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

License

HandTracker 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

HandTracker releases are available to install and integrate.

Installation instructions are not available. Examples and code snippets are available.

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HandTracker Key Features

No Key Features are available at this moment for HandTracker.

HandTracker Examples and Code Snippets

HandTracker,Usage

Swift

Lines of Code : 12

License : No License

Copy

#import 

let tracker: HandTracker = HandTracker()!

tracker.startGraph()
tracker.delegate = self

func handTracker(_ handTracker: HandTracker!, didOutputLandmarks landmarks: [Landmark]!) {
    print(landmarks.count)
}
    
func handTracker(_ handTra

HandTracker,Carthage

Swift

Lines of Code : 1

License : No License

Copy

binary "https://raw.githubusercontent.com/noppefoxwolf/HandTracker/master/HandTracker.json"

Community Discussions

Trending Discussions on HandTracker

PyTorch find keypoints: output nodes to be in a range and negative loss

Mediapipe: How to properly dealloc MPPGraph

QUESTION

PyTorch find keypoints: output nodes to be in a range and negative loss

Asked 2020-Aug-22 at 19:58

I am beginner in deep learning. I am using this dataset and I want my network to detect keypoints of a hand.

How can I make my output layer's nodes to be in range [-1, 1] (range of normalized 2D points)? Another problem is when I train for more than 1 epoch the loss gets negative values

criterion: torch.nn.MultiLabelSoftMarginLoss() and optimizer: torch.optim.SGD()

Here u can find my repo

...

ANSWER

Answered 2020-Aug-21 at 15:13

One way I can think of is to use torch.nn.Sigmoid which produces outputs in [0,1] range and scale outputs to [-1,1] using 2*x-1 transformation.

Source https://stackoverflow.com/questions/63525242

QUESTION

Mediapipe: How to properly dealloc MPPGraph

Asked 2020-May-26 at 11:34

It is unclear to me how to properly stop and deallocate the MPPGraph. I created a framework very similar to this. Every time a dealloc is called in some way this exception is thrown. Thread 1: Exception: "waitUntilDoneWithError: should not be called on the main thread".

I don't know how to not call it in the main thread and was hoping someone had some insight on this.

Here you can find the swift code that is calling the mediapipe framework. This example has been created with the framework that can be found here.

...

ANSWER

Answered 2020-May-26 at 11:34

For anyone experiencing same issue. This has been addressed here and a solution has been proposed.

Source https://stackoverflow.com/questions/61681734

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

Vulnerabilities

No vulnerabilities reported

Install HandTracker

You can download it from GitHub.

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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