The Open Source Framework for Machine Vision
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Updated
Jan 14, 2023 - Python
The Open Source Framework for Machine Vision
FBOW (Fast Bag of Words) is an extremmely optimized version of the DBow2/DBow3 libraries.
We have used Deep Reinforcement Learning and Advanced Computer Vision techniques to for the creation of Smart Traffic Signals for Indian Roads. We have created the scripts for using SUMO as our environment for deploying all our RL models.
This fork of the deep learning guide has been adapted to work with a variety of different inputs USB camera, GigEVision and RTP on the TX1 SoM. This is a a quick demonstrator and example for users of the Abaco Systems rugged Small Form Factor (SFF) TX1 boxed solutions. Please visit out website for more details.
Easy-to-use, powerful, and free vision suite.
Spheres Recognition Color-Depth on Raspberry with Kinect Sensor
Conformity inspection of electronic boards based on industrial vision ( Inspection de conformité des cartes électroniques PCB par la vision industrielle )
Sofie ATEM State: A Part of the Sofie TV Studio Automation System
Testing vision repository
Sistema de prueba de algoritmos de visión por computadora
Neyman–Pearson Detector (NPD) for saccadic eye movements
Faire de la reconnaissance visuelle sur un Raspberry Pi avec OpenCV
This is the code for our vision system, consisting of a Jetson and a USB Webcam. The Jetson will process the camera images before sending the data to the roboRIO. Feel free to use this code for your FIRST Robotics Competition robot!
Our current program in Destination Deep Space for our 2019 robot, Rampage.
The traditional in-situ soil analysis methods are laborious & inefficient, limiting scalability and hindering timely access to crucial soil data for optimal fertilization by farmers. In the amazing challenge, we tried to predict soil parameters(Phosphorous, Potassium, Magnesium and pH)from hyperspectral satellite images. http://tinyurl.com/mw6p25tr
Soil analyzer using an USB microscope - for Linux PC and Beaglebone Black
GUI to test OpenCV edge detection and blur functionalities
Procesamiento de imágenes de distintas clases de uvas a partir de visión por computadora.
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