bingrao / vehicle-detection
Record the speed of cars passing in front of the Raspberry Pi Picamera. Created vehicle detection pipeline with two approaches: (1) deep neural networks (YOLO framework) and (2) support vector machines ( OpenCV + HOG).
☆27Updated 7 years ago
Related projects ⓘ
Alternatives and complementary repositories for vehicle-detection
- real-time Vehicle Detection( tiny YOLO ver) and HOG+SVM method☆136Updated 7 years ago
- Combined lane and vehicle detection pipeline comparing YOLOv2 and LeNet-5☆15Updated 6 years ago
- Vehicle-Detection and Tracking Using YOLO and Deep Sort with Tensorflow☆34Updated 5 years ago
- Vehicle detection and tracking and speed estimation using opencv☆21Updated 6 years ago
- deep_sort_yolov3☆42Updated 2 years ago
- Detecting and Tracking the violating cars using yolov3 model and various image processing techniques.☆35Updated 5 years ago
- Detect and track vehicles on a video stream and count those going through a defined line.☆88Updated 5 years ago
- ☆66Updated 4 years ago
- Detecting Cars in real time and identifying the speed of cars and tracking☆65Updated 6 years ago
- Implementation of darkflow on traffic sign detection and classification☆73Updated last year
- According to YOLOv3 and SORT algorithms, counting multi-type vehicles. Implemented by Pytorch.☆85Updated 5 months ago
- Vehicle detection and speed measurement system☆58Updated last year
- Vehicle counting in a conjusted traffic road where background subtraction gives lower performance.☆36Updated 5 years ago
- Maintaining empty parking spot count using YOLO real-time vehicle detection. Code readily runnable in google colab.☆65Updated 5 years ago
- The main objective of this project is to identify overspeed vehicles, using Deep Learning and Machine Learning Algorithms. After acquisit…☆159Updated 2 years ago
- Traffic light detection using deep learning with the YOLOv3 framework. PyTorch => YOLOv3☆63Updated 4 years ago
- This is a Multi object tracker. Mainly it was build for tracking car movement in a junction.☆29Updated 2 years ago
- The System consists of two main components. Vehicle detection model and A graphical user interface (GUI)☆157Updated 2 months ago
- Compare FasterRCNN,Yolo,SSD model with the same dataset☆144Updated 5 years ago
- Object Detection clubbed with a Graphical User Interface developed using Tkinter☆13Updated 6 years ago
- Robust Highway Lane Segmentation Based on LaneNet Trained BDD100K☆29Updated 5 years ago
- OpenCV 3 & Keras implementation of vehicle tracking with video data.☆117Updated 6 years ago
- Vehicle detection implemented with you Only Look Once. It's an object detector that uses features learned by a deep convolutional neural …☆27Updated 6 years ago
- Using Perspective Transform to leverage bird's eye view (BEV) to estimate distance between objects.☆74Updated 4 years ago
- GitHub repo for my article at https://towardsdatascience.com/indian-car-license-plate-detection-using-yolo-v5-ae2574578175☆63Updated last year
- helmet(hard hat) detection with yolov4☆42Updated 2 months ago
- Vehicle Speed Detection is a Python Script to track and detect the speed of a moving vehicle. This script can automatically detect the la…☆12Updated 4 years ago
- Traffic signs detection and classification in real time☆276Updated last year
- ☆120Updated 4 years ago