Vehicle Counting Yolov5 Save
An algorithm that uses YoloV5 and DeepSORT to count and measure the number of vehicles in a video stream, it detects the vehicles with YoloV5 and tracks them with DeepSORT to maintain a count of unique vehicles in the video. It also calculates the frames per second (FPS) of the video stream.
Project README
Vehicle Counting using Yolov5 and Deep Sort
On CPU - 12 to 15 FPS
Pre-requisites :
- Clone the Repository vehicle-counting-yolov5
git clone https://github.com/mahimairaja/vehicle-counting-yolov5.git
cd vehicle-counting-yolov5
- Clone the legacy Yolo-v5 Repository
git clone https://github.com/ultralytics/yolov5.git
- Install the libraries
pip install -r requirements.txt
Directory Structure :
After completing the above steps your directory should look like somewhat as of below structure
-
vehicle-counting-yolov5- deep_sort
- yolov5
- input.mp4
- yolov5s.pt
- tracker.py
- requirements.txt
Run the algorithm
python tracker.py
# This will download model weight - yolov5s.pt to base folder on first execution.
Feel free to conect with me...
Open Source Agenda is not affiliated with "Vehicle Counting Yolov5" Project. README Source: mahimairaja/vechicle-counting-yolo
Stars
70
Open Issues
1
Last Commit
1 year ago
Repository
License
Open Source Agenda Badge
