Real-time driver distraction detection using time-distributed convolutional LSTM network for mobile platforms
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Updated
Mar 17, 2021 - Jupyter Notebook
Real-time driver distraction detection using time-distributed convolutional LSTM network for mobile platforms
Python OpenCV
This package provides an easy way to upload images and videos from the front-end to the Cloudinary platform.
Identify lane boundaries in a video and display numerical estimation of lane curvature and vehicle position using camera calibration and perspective transform ("birds-eye view").
Simple Image Thumbnail Service
Serve images and apply transformations on-the-fly
An ocaml project that applies transformations functions on images
This command line tool can be used to collect image dataset from BeamNG gameplay and supports calculating neuron coverage of a DNN model. It can be extended to create a neuron coverage guided testing tool to generate test cases for simulation-based testing of DNN-based self-driving vehicles
A four point image manipulator for GameMaker 2.3+
A useful tool for creating datasets with characteristics of x-ray images
This project is an image processing and augmentation tool
This collection of scripts allows you to perform various image transformations, including converting images to monochrome, creating negative versions, and generating positive versions.
On-the-fly image transformations using an Azure Function App & Typescript
Digital Image Processing by OpenCV
Implementation of Computer Vision Algorithms
Basic programs to learn OpenCV using python
Algorithm aiming to recognise tic-tac-toe games on photographs using image transformations.
This Repository contains basic computer vision algorithms
NodeJS Cloudinary
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