eandert / Jetson_Nano_Camera_Vehicle_TrackerLinks
This repository contains a YoloV4/Darknet based image classifier coded to run onboard the Nvidia Jetson Nano platform at approximately 10 FPS. The code includes a frame by frame tracker that keeps IDs of vehicles mostly constant. It display the output to the web browser via flask for debugging/demo.
☆13Updated 4 years ago
Alternatives and similar repositories for Jetson_Nano_Camera_Vehicle_Tracker
Users that are interested in Jetson_Nano_Camera_Vehicle_Tracker are comparing it to the libraries listed below
Sorting:
- GitHub repo for my article at https://towardsdatascience.com/indian-car-license-plate-detection-using-yolo-v5-ae2574578175☆63Updated 2 years ago
- YOLOv4 accelerated wtih TensorRT and multi-stream input using Deepstream☆37Updated 4 years ago
- Yolov5 TensorRT Implementations☆68Updated 2 years ago
- Deep learning based object tracking with line crossing and area intrusion detection☆160Updated 3 months ago
- According to YOLOv3 and SORT algorithms, counting multi-type vehicles. Implemented by Pytorch.☆86Updated last year
- ☆53Updated 3 years ago
- Detect and track vehicles on a video stream and count those going through a defined line.☆99Updated 6 years ago
- YOLOv5 in TensorRT☆139Updated 3 years ago
- YOLOv5 with flask framework, in aims to counting vehicles in traffic☆48Updated 5 years ago
- Face Recognition with RetinaFace and ArcFace.☆86Updated 3 years ago
- Exporting yolov5 to tflite and run inference on raspberry pi and cpu☆56Updated 3 years ago
- Detecting Fire, Smoke using Computer Vision, Open CV and PyTorch☆47Updated last year
- MobileNetV1-SSD + SORT based Real-Time Tracking and Counting on Jetson Nano☆119Updated last year
- deploy yolox algorithm use deepstream☆90Updated 3 years ago
- Deepstream app use retinaface and arcface for face recognition.☆75Updated last year
- Vehicle counting using Pytorch☆98Updated 2 years ago
- Classifying people as high risk and low risk based on their distance to other people.☆111Updated last year
- ☆67Updated 5 years ago
- Python version for NVIDIA Deepstream's LPR. https://developer.nvidia.com/blog/creating-a-real-time-license-plate-detection-and-recognitio…☆34Updated 4 years ago
- yolov5, yolov8, segmenations, face, pose, keypoints on deepstream☆103Updated last year
- Fast MOT base on yolo+deepsort, support yolo3 and yolo4☆56Updated 4 years ago
- NVIDIA Deepstream 6.1 Python boilerplate☆139Updated last year
- Sample app code for LPR deployment on DeepStream☆225Updated last year
- Automatic License Plate Recognition for Traffic Violation Management made with YOLOv4, Darknet, Tensorflow Lite☆52Updated 5 years ago
- By the end of this post, you will learn how to: Train a SOTA YOLOv5 model on your own data. Sparsify the model using SparseML quantizati…☆56Updated 2 years ago
- Computer Vision deployment tools for dummies and experts. CVU aims at making CV pipelines easier to build and consistent around platform…☆90Updated 2 years ago
- YoloV5 for Jetson Nano☆39Updated 2 years ago
- This is a Multi object tracker. Mainly it was build for tracking car movement in a junction.☆30Updated 3 years ago
- Car tracking and car counter implemented with YOLOX, ByteTrack and Pytorch.☆45Updated 2 years ago
- An implementation of a tracker using yolov4, tf and sort_tracker. (still in development)☆24Updated 2 years ago