hand3d | Network estimating 3D Handpose from single color images | Machine Learning library

by lmb-freiburg Python Version: Current License: GPL-2.0

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | hand3d Summary

hand3d is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Tensorflow applications. hand3d has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has medium support. However hand3d build file is not available. You can download it from GitHub.

Network estimating 3D Handpose from single color images

Support

Quality

Security

License

Reuse

Support

hand3d has a medium active ecosystem.

It has 776 star(s) with 258 fork(s). There are 35 watchers for this library.

It had no major release in the last 6 months.

There are 10 open issues and 34 have been closed. On average issues are closed in 35 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of hand3d is current.

Quality

hand3d has 0 bugs and 42 code smells.

Security

hand3d has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

hand3d code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

hand3d is licensed under the GPL-2.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

hand3d releases are not available. You will need to build from source code and install.

hand3d has no build file. You will be need to create the build yourself to build the component from source.

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

hand3d saves you 916 person hours of effort in developing the same functionality from scratch.

It has 2091 lines of code, 78 functions and 16 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed hand3d and discovered the below as its top functions. This is intended to give you an instant insight into hand3d implemented functionality, and help decide if they suit your requirements.

Gets the data from the database
Creates a multiple Gaussian map
Calculate the canonical trafo
Return rotation matrix
Get the data from the dataset
Convert keypoints to keypoint definition
Plot the right hand
Plot the hand
Infer the image
Convolution layer
A convolution layer
A max pool
Write image to binary image
Get the mean values for each keypoint
Gets the mean and median of the epe data
Performs inference on an image
Inverse image of pose2d
Load weights from checkpoint
Perform inference
Get learning rate
Infer 2D image
Adds the euclidean distance
Return keypoint coordinates from scoremaps
Get STB reference curves
Calculate the integral of the integral function
Convert keypoints to keypoints
Calculate the area - weighted integral
Wrapper for leaky_relu

Get all kandi verified functions for this library.

hand3d Key Features

No Key Features are available at this moment for hand3d.

hand3d Examples and Code Snippets

No Code Snippets are available at this moment for hand3d.

Community Discussions

Trending Discussions on hand3d

ValueError: Shapes (2, 1) and () are incompatible

QUESTION

ValueError: Shapes (2, 1) and () are incompatible

Asked 2017-May-10 at 20:59

I have to use Tensorflow 0.11 for this code repo and this is the error I get:

...

ANSWER

Answered 2017-May-10 at 20:59

Installed the tensorflow 0.12 and the code worked perfectly with no change:

Source https://stackoverflow.com/questions/43901767

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

Vulnerabilities

No vulnerabilities reported

Install hand3d

You can download it from GitHub.
You can use hand3d 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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