There are 1 repository under compter-vision topic.
Iterate.ai has open-sourced a powerful Weapons Detection AI software. The AI was trained on about 100 live guns, plus 20,000 videos of robberies and threats involving weapons. Our engineers taught the AI to detect guns, knives, kevlar vests, and robbery masks.
Extended Mask R-CNN for RGB-D object instance segmentation based on Matterport's implementation. Segmentation accuracy improved by up to 31% using the additional depth input channel.
Self-Supervised Feature Learning by Learning to Spot Artifacts. In CVPR, 2018.
A project for ticketing automated challan for overspeeding vehicles on a decentralized network, and generating dynamic traffic signal timings based on traffic.
Automatic Building Footprint Segmentation: U-Net Production-Level API
This repository provide script to do OCR using some basic Deep Learning approach
Project: 2D Feature Tracking || Udacity: Sensor Fusion Engineer Nanodegree
Notes and key takeaways of the Self-Driving Cars Perception applied Deep Learning Free Course from freeCodeCamp.org
Building A Virtual AI Keyboard Using CV On Pycham IDE
Convex Polygon Detection
Extract text from handwritten infomation on bank checks images
Caffe2-vision help engineer to build vision CNN for training and product, including dataset maker and favorite models
This is shape detection program . It can detect shapes like triangle ,square, rectangle , circle and other shapes as well .
Refer Readme.md
Crop the object from the video and get it's tracking live over the web-cam.
matlab script for creating box around face.
My projects that involve and use machine learning, data science and deep learning techniques with solve or observe a specfic use case
Udacity Self Driving Car Nanodegree - Behavioral Cloning
Stores the basic Deep Learning models that I've worked on and learned from using Kaggle, Google Colab and Jupyter Notebook
Converting Image to Pencil Sketch Using Open CV
An application that provides a playlist of songs using facial sentiments.
Public facing notes page
Task to create a model that can automatically segment the stomach and intestines on MRI scans.
This project aims to detect and warn individuals with Trichotillomania, a disorder characterized by the urge to pull out one's hair, particularly from the scalp, eyebrows, and eyelashes. The system utilizes computer vision techniques and Python to detect facial hair pulling behavior in real-time.
Diagnose the presence of skin cancer in a person using CNN and as well explain what led the CNN to arrive at the decision. Visual explanations are made utilizing the Gradient-weighted Class Activation Mapping (Grad-CAM), the gradients flowing into the final convolutional layer to produce a coarse localization map highlighting the important regions in the image for considered for arriving at the decision. The original paper for GRADCAM can be found @ https://arxiv.org/abs/1610.02391
How machine learning can facilitate food logging and push nutrition report, recipe recommendation and online purchase of ingredients. Impact both healthcare and online food business opportunity. Use Deep Learning models (CNN, VGG16, INCEPTION V3) for 9 classes of food images
Our detector predicts whether a person is wearing a mask or not in real-time i.e. via webcam or video stream
Performs image and object recognition using Computer vision and CNN
This is a list of Computer Science free courses and resources available on Github and internet.
Use computer vision to generate captions and tags for random paintings