Module for detecting traffic lights in the CARLA autonomous driving simulator. Based on the YOLO v2 deep learning object detection model and implemented in keras, using the tensorflow backend.
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Updated
Oct 30, 2023 - Python
Module for detecting traffic lights in the CARLA autonomous driving simulator. Based on the YOLO v2 deep learning object detection model and implemented in keras, using the tensorflow backend.
A camera recorder with human detection AI project
Improvements and additions over the fork of https://github.com/experiencor/keras-yolo2
Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).
C# Yolo Darknet Wrapper (real-time object detection)
Lightweight turnkey solution for AI
Real-time people Multitracker using YOLO v2 and deep_sort with tensorflow
YOLO9000: Better, Faster, Stronger - Real-Time Object Detection. 9000 classes!
This Toolkit is the fastest way to train YOLO-v2 with your own custom dataset from scratch including annotating part
Computer vision in under 5 lines of code.
YOLO integration with ROS for real-time object detection
Implement YOLO model to detect objects from images in relation with Autonomous Driving
Robust UAV Visual Teach and Repeat Using Only Sparse Semantic Object Features
TensorFlow implementation of the YOLO (You Only Look Once)
k-means clustering with the Intersection over Union (IoU) metric as described in the YOLO9000 paper
BADS7203 : IMAGE AND VIDEO ANALYTICS - 2561/2 - Crime Detection Project
Yolo algorithm applied on a video file so as to detect cars, traffic lights and a few other classes.
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
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