#计算机科学#Udacity Self-Driving Car Engineer Nanodegree projects.
#计算机科学#🚘 "MORE THAN VEHICLE COUNTING!" This project provides prediction for speed, color and size of the vehicles with TensorFlow Object Counting API.
Created vehicle detection pipeline with two approaches: (1) deep neural networks (YOLO framework) and (2) support vector machines ( OpenCV + HOG).
Vehicle Detection by Haar Cascades with OpenCV
Vehicle Detection, Tracking and Counting
Vehicle detection using YOLO in Keras runs at 21FPS
Hobby project to track vehicles that are over speeding and violating red light
KITTI data processing and 3D CNN for Vehicle Detection
The code of the Object Counting API, implemented with the YOLO algorithm and with the SORT algorithm
This is a Matlab lesson design for vehicle detection and recognition. Using cifar-10Net to training a RCNN, and finetune AlexNet to classify. Thanks to Cars Dataset:http://ai.stanford.edu/~jkrause/ca...
OpenCV implementation of lane and vehicle tracking
The main objective of this project is to identify overspeed vehicles, using Deep Learning and Machine Learning Algorithms. After acquisition of series of images from the video, trucks are detected usi...
#计算机科学#Vehicle Detection with Convolutional Neural Network
This project aims to count every vehicle (motorcycle, bus, car, cycle, truck, train) detected in the input video using YOLOv3 object-detection algorithm.
real-time Vehicle Detection( tiny YOLO ver) and HOG+SVM method
Official version of 'Weakly Supervised 3D object detection from Lidar Point Cloud'(ECCV2020)
#安卓#This is one of the best vehicle recognition applications. It can determine the car's license plate number, color, model, brand and year.
Vehicle detection, tracking and counting by blob detection with OpenCV on c++.
Vehicle detection, tracking and counting by SVM is trained with HOG features using OpenCV on c++.
#计算机科学#Detect vehicles in a video