Eye-Tracker | iTracker model proposed in the paper Eye Tracking | Computer Vision library
kandi X-RAY | Eye-Tracker Summary
kandi X-RAY | Eye-Tracker Summary
Eye-Tracker is a Python library typically used in Artificial Intelligence, Computer Vision, Deep Learning, Tensorflow applications. Eye-Tracker has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However Eye-Tracker build file is not available. You can download it from GitHub.
Implemented and improved the iTracker model proposed in the paper Eye Tracking for Everyone.
Implemented and improved the iTracker model proposed in the paper Eye Tracking for Everyone.
Support
Quality
Security
License
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Support
Eye-Tracker has a low active ecosystem.
It has 142 star(s) with 41 fork(s). There are 9 watchers for this library.
It had no major release in the last 6 months.
There are 3 open issues and 18 have been closed. On average issues are closed in 567 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of Eye-Tracker is current.
Quality
Eye-Tracker has 0 bugs and 0 code smells.
Security
Eye-Tracker has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
Eye-Tracker code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
Eye-Tracker is licensed under the BSD-3-Clause License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
Eye-Tracker releases are not available. You will need to build from source code and install.
Eye-Tracker has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions are available. Examples and code snippets are not available.
Eye-Tracker saves you 329 person hours of effort in developing the same functionality from scratch.
It has 790 lines of code, 40 functions and 3 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed Eye-Tracker and discovered the below as its top functions. This is intended to give you an instant insight into Eye-Tracker implemented functionality, and help decide if they suit your requirements.
- Validate the model
- Runs a random batch
- Load a model from file
- Extracts the validation handles
- Load validation data
Get all kandi verified functions for this library.
Eye-Tracker Key Features
No Key Features are available at this moment for Eye-Tracker.
Eye-Tracker Examples and Code Snippets
No Code Snippets are available at this moment for Eye-Tracker.
Community Discussions
Trending Discussions on Eye-Tracker
QUESTION
Plot resize and saving empty
Asked 2021-Dec-22 at 01:12
I'm trying to plot a heatmap overlap an image, using seaborn and matplotlib as shown in the code below:
...ANSWER
Answered 2021-Dec-22 at 01:12Here are the changes I have made to your code. As I don't have access to your data, so I have used random numbers instead but this will give you the idea. Refer to the UPPERCASE comments for the answers.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Eye-Tracker
To train the model: run python itracker_adv.py --train -i input_data -sm saved_model. To test the trained model: run python itracker_adv.py -i input_data -lm saved_model. You can find a pretrained (on the smaller dataset) model under the pretrained_models/itracker_adv/ folder.
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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