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https://github.com/AlbertSuarez/yolo-webcam-object-detection

🎥 Real-time object detection using a webcam
https://github.com/AlbertSuarez/yolo-webcam-object-detection

darkflow object-detection python3 real-time tiny-yolo webcam

Last synced: about 2 months ago
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🎥 Real-time object detection using a webcam

Host: GitHub
URL: https://github.com/AlbertSuarez/yolo-webcam-object-detection
Owner: AlbertSuarez
License: mit
Created: 2019-09-18T11:18:17.000Z (about 5 years ago)
Default Branch: master
Last Pushed: 2019-11-06T10:55:33.000Z (almost 5 years ago)
Last Synced: 2024-05-16T11:24:48.733Z (4 months ago)
Topics: darkflow, object-detection, python3, real-time, tiny-yolo, webcam
Language: Python
Homepage: https://asuarez.dev/yolo-webcam-object-detection
Size: 5.32 MB
Stars: 2
Watchers: 3
Forks: 5
Open Issues: 0
Metadata Files:
- Readme: README.md
- License: LICENSE

Awesome Lists containing this project

README

        # YOLO Webcam Object detection

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[![made-with-python](https://img.shields.io/badge/Made%20with-Python-1f425f.svg)](https://www.python.org/)

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[![GitHub repo size in bytes](https://img.shields.io/github/repo-size/AlbertSuarez/yolo-webcam-object-detection.svg)](https://github.com/AlbertSuarez/yolo-webcam-object-detection)

🎥 Real-time object detection from a Webcam using tiny-YOLO or YOLO with [Darkflow](https://github.com/thtrieu/darkflow) (Darknet + tensorflow).

## Contents

1. [Requirements](#requirements)

2. [Recommendations](#recommendations)

3. [Usage](#usage)

4. [Example](#example)

5. [Authors](#authors)

6. [License](#license)

## Requirements

- Python 3+.

## Recommendations

Usage of [virtualenv](https://realpython.com/blog/python/python-virtual-environments-a-primer/) is recommended for package library / runtime isolation.

## Usage

To run the application, please execute the following from the root directory:

1. Setup virtual environment.

2. Install dependencies.

  ```bash

  pip3 install -r requirements.lock

  ```

3. Install [Darkflow](https://towardsdatascience.com/yolov2-object-detection-using-darkflow-83db6aa5cf5f)

  ```bash

  source install_darkflow.sh

  ```

4. Run the application with one of the available models (`tiny-yolo-voc` or `yolo`)

  ```bash

  python3 -m src [--model MODEL_NAME --device_id DEVICE_ID]

  ```

  > `tiny-yolo-voc` is the default model in order to get a better performance w/o GPU. If you want to get better results, then specify the `yolo` model.

  > `0` is the default device id which is the embedded web cam of your computer. For running the project with another web cam, just specify 1, 2, etc (depends on how many web cams you have).

## Example

![Example](docs/example.png)

## Authors

- [Albert Suàrez](https://github.com/AlbertSuarez)

## License

MIT © YOLO Webcam Object detection