- ImageQualityAnalysis is a convinient-to-use interface that allows users to detect facial features of faces in an image.
- Also allows quick computation of the following features:
- Detect face location relative to the image
- Find the endpoint of a line if it were drawn from the person's nose to the image
- Detect (x,y) angle of where the user is looking
- Detects if the users mouth is open
- Python 3.6-3.8 (Important)
- Tensorflow 2.2 (Also important)
- Numpy
- opencv-python
After installing all dependencies run
git clone https://github.com/idanielsh/ImageQualityAnalysis.git
Import src/image_analysis_services.py at the top of the file which will give you access to all of the methods
defined in the file.
Open the following file from your favourite IDE:
examples/tester.py
To see sample usage of this project.
Run the file and you should see the camera window launch with information about faces on the image. Note that this tester file can detect multiple faces in a single frame.
This project borrowed code from this TDS article by Vardan Agarwal. The reason we decided to make this project was to simplify the functions outlined above into a single project which can be used by users.
We would also like to thank @KadenMc for being a great mentor throughout this development process.
The project was created as the conclusion to the 2020 cohort of LeanAI hosted by UofTAI.
It was developed by @ushinghal19, @talicopanda, @oshalash38, @Addison-Weatherhead, and myself.