vechicle-counting-yolo

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vechicle-counting-yolo

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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.

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# Vehicle Counting using Yolov5 and Deep Sort

</div>

[![Status](https://img.shields.io/badge/status-active-success.svg)]()
[![License](https://img.shields.io/badge/license-MIT-blue.svg)](https://raw.githubusercontent.com/mahimairaja/vechicle-counting-yolo/main/LICENSE)

</div>

### On CPU - `12 to 15 FPS`

## Pre-requisites :

1) Clone the Repository [vehicle-counting-yolov5](https://github.com/mahimairaja/vehicle-counting-yolov5)

```bash
git clone https://github.com/mahimairaja/vehicle-counting-yolov5.git

cd vehicle-counting-yolov5
```

2) Clone the legacy Yolo-v5 Repository

```bash
git clone https://github.com/ultralytics/yolov5.git
```
   
4) Install the libraries
```bash
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

``` bash
python tracker.py 
# This will download model weight - yolov5s.pt to base folder on first execution.
```

#### Feel free to [conect with me](https://www.linkedin.com/in/mahimairaja/)...

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