Han Sheng
Detect Car -> yolov5 Car Tracking and Counting -> DeepSort Data Annotation tool -> Classifai developed by Certifai (https://github.com/CertifaiAI/classifai)
Archives: Video Contest
Traffic vehicle detection
Traffic vehicle detection
accurately detects the vehicles and gives a unique code to them. #voteforme
Drone Surveillance Contest: Car Counting
In this contest, in order to count number of cars in the video, I used Yolov4 to detect car’s location and send the corresponding bounding box to the tracker. I used Correlation tracker, which is in Dlib library, to track cars while the detection model isn’t running in a number of frames (it can help […]
Cars detection and counting in junk yard – Drone Surveillance Contest
I used yolo to train the algorithm. trained file (.weight) is larger than 25MB to upload to the github. So i uploaded to the drive and link is https://drive.google.com/file/d/1iKQ9COEPZNsUWHH7JOiX6KUSyr9W1596/view?usp=sharing.
Computer Vision Drone Servillance Contest
Computer Vision Drone Servillance Contest
Scrape Car Counter in Junkyard
This Project is Based on YOLOv4 + Deep Sort Algorithm and Tensorflow. The custom YOLO weights had been trained on the frames of the given Video Hope You All Like It 😉
Car Counter using opencv python
Car counter using opencv python Beautiful project.
Drone Surveillance Contest
Hi, my name is omar saad this is my work for the drone surveillance contest, for this task a custom yolov4 model is created by using the given video as a dataset then using a tracking algorithm to track and count the cars. For any questions: https://www.linkedin.com/in/omar-saad24/
M11 drone surveillance project
Drone surveillance car detection program using opencv.
