https://github.com/refret28/object_tracker
This tracker is based on the use of a detector in the form of a YOLOv5s neural model and a tracking algorithm for tracking objects (DeepSORT).
https://github.com/refret28/object_tracker
computer-vision deep-sort-tracking opencv yolov5s
Last synced: about 2 months ago
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This tracker is based on the use of a detector in the form of a YOLOv5s neural model and a tracking algorithm for tracking objects (DeepSORT).
- Host: GitHub
- URL: https://github.com/refret28/object_tracker
- Owner: Refret28
- Created: 2024-07-08T22:26:38.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-07-22T21:08:49.000Z (almost 2 years ago)
- Last Synced: 2025-04-01T11:56:29.667Z (about 1 year ago)
- Topics: computer-vision, deep-sort-tracking, opencv, yolov5s
- Language: Python
- Homepage:
- Size: 7.81 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Instructions
1) **Installing required dependencies:**
```bash
pip install -r requirements.txt
```
2) **Сlone the repository, which can be explored by following the link in the subdirectory (deep_sort_realtime):**
```bash
git clone https://github.com/levan92/deep_sort_realtime.git
```
3) **To import the module correctly, go to the cloned repository and run the command:**
```bash
pip install .
```
4) **The application should be launched through the terminal indicating the necessary parameters:**
```bash
- `-p`, `--path`: path to file or directory
- `-n`, `--num`: camera number (int)
```
## Examples of using
1. **Specifying the path:**
```bash
python script.py -p /folder/file.mp4
```
2. **Specifying the number:**
```bash
python script.py -n 0
```