Pytorch implementation of "One-Sided Unsupervised Domain Mapping" NIPS 2017
-
Updated
Apr 6, 2019 - Python
Pytorch implementation of "One-Sided Unsupervised Domain Mapping" NIPS 2017
Computer vision project to automatically recognize digits characters in a seven-segments display
Deploy Computer Vision solutions with a few lines of code.
[IROS 2023] Open-Vocabulary Affordance Detection in 3d Point Clouds
The main abnormal behaviors that this project can detect are: Violence, covering camera, Choking, lying down, Running, Motion in restricted areas. It provides much flexibility by allowing users to choose the abnormal behaviors they want to be detected and keeps track of every abnormal event to be reviewed. We used three methods to detect abnorma…
Machine learning model for detecting yeast colonies in images.
Machine Learning and Deep Learning Courses on YouTube
A website integrating an AI model to convert sign language pictures and videos to text.
A computer vision project for detecting student concentration levels using image classification techniques. The concentration levels can be one amongst the following two: engaged and not engaged.
Add a description, image, and links to the computer-vision-ai topic page so that developers can more easily learn about it.
To associate your repository with the computer-vision-ai topic, visit your repo's landing page and select "manage topics."