GazeCapture | Eye Tracking for Everyone | Machine Learning library

by CSAILVision Python Version: Current License: Non-SPDX

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

kandi X-RAY | GazeCapture Summary

GazeCapture is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning applications. GazeCapture has no bugs, it has no vulnerabilities and it has medium support. However GazeCapture build file is not available and it has a Non-SPDX License. You can download it from GitHub.

This is the README file for the official code, dataset and model release associated with the 2016 CVPR paper, "Eye Tracking for Everyone".

Support

Quality

Security

License

Reuse

Support

GazeCapture has a medium active ecosystem.

It has 768 star(s) with 222 fork(s). There are 42 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 62 have been closed. On average issues are closed in 40 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of GazeCapture is current.

Quality

GazeCapture has 0 bugs and 0 code smells.

Security

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

GazeCapture code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

GazeCapture has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

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

GazeCapture 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.

It has 653 lines of code, 31 functions and 4 files.

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

Top functions reviewed by kandi - BETA

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

Validate the model
Update statistics
Train the model
Read json from file
Log an error message
Crop an image
Prepare a path
Save checkpoint
Load checkpoint from file
Adjust learning rate for given epoch

Get all kandi verified functions for this library.

GazeCapture Key Features

No Key Features are available at this moment for GazeCapture.

GazeCapture Examples and Code Snippets

No Code Snippets are available at this moment for GazeCapture.

Community Discussions

Trending Discussions on GazeCapture

Conceptually, how does one move from three fully connected layers with different kernel sizes to one new fully connected layer?

QUESTION

Conceptually, how does one move from three fully connected layers with different kernel sizes to one new fully connected layer?

Asked 2017-May-11 at 14:40

I'm attempting to code in Tensorflow the gazecapture model given here:

http://gazecapture.csail.mit.edu/cvpr2016_gazecapture.pdf

Near the end of the model, the eye data, face data, and face grid data have been reduced to three different fully connected layers, of size 1x128, 1x64, and 1x128 respectively. The weights do not appear to be shared but are combined somehow into one final fully connected layer. I am missing the link that joins these together to form the final fully connected layer.

How does this go about? Are there examples of this elsewhere?

The github of the original project is located here if that helps:

https://github.com/CSAILVision/GazeCapture

Thank you! I apologize in advance if this is an elementary mistake.

...

ANSWER

Answered 2017-May-11 at 14:40

Usually, they concat outputs from multiple fully connected layers and feed into next one. Following is the code snippet that does concatenation. You can find it in itracker_train_val.prototxt

Source https://stackoverflow.com/questions/43903859

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

Vulnerabilities

No vulnerabilities reported

Install GazeCapture

You can download it from GitHub.
You can use GazeCapture 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.