There are 0 repository under yolo2 topic.
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).
YOLO9000: Better, Faster, Stronger - Real-Time Object Detection. 9000 classes!
k-means clustering with the Intersection over Union (IoU) metric as described in the YOLO9000 paper
Real-time people Multitracker using YOLO v2 and deep_sort with tensorflow
PyTorch implementation of the YOLO (You Only Look Once) v2
C# Yolo Darknet Wrapper (real-time object detection)
Convolutional Neural Networks
YOLO: You only look once real-time object detector
TensorFlow implementation of the YOLO (You Only Look Once)
YOLO/YOLOv2 inspired deep network for object detection on satellite images (Tensorflow, Numpy, Pandas).
Lightweight turnkey solution for AI
YOLOv2 algorithm reimplementation with pytorch
A YOLOv2 model to detect helmets and persons with/without helmets.
YOLO integration with ROS for real-time object detection
gender/age classification
State of the art object detection in real-time using YOLOV3 algorithm. Augmented with a process that allows easy training of the classifier as a plug & play solution . Provides alert if an item in an alert list is detected.
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.
Deep visual mining for your photos and videos using YOLOv2 deep convolutional neural network based object detector and traditional face recognition algorithms
A Tensorflow version of YOLO2 and its extensions
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
This Toolkit is the fastest way to train YOLO-v2 with your own custom dataset from scratch including annotating part
A camera recorder with human detection AI project
neural_cam module turn your usb camera into a smart camera that can detect objects it trained on. At the core is the state of the art deep learning (CNN) based on Darknet framework developed by Joseph Redmon.
Yolo v2 implementation in Chainer, ChainerCV
Robust UAV Visual Teach and Repeat Using Only Sparse Semantic Object Features
Implement the tiny yolo in opencv with opencl
An open-source, wildlife camera trap powered by Raspberry pi, YOLOv2 and Berrynet.
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.