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Diego Inácio
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# Real-time object detection application # Real-time object detection application
Web application for *real-time* object detection on video streaming via web browser. Web application for _real-time_ object detection on video streaming via web browser.
![layout](_source/layout.jpg) ![layout](_source/layout.jpg)
## Installation ## Installation
Create and activate an virtual environment, as follows: Create and activate an virtual environment, as follows:
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$ pip install -r requirements.txt $ pip install -r requirements.txt
``` ```
After that, you can run the *following command* and access the application at [127.0.0.1:5000](http://127.0.0.1:5000/) on your browser. After that, you can run the _following command_ and access the application at [127.0.0.1:5000](http://127.0.0.1:5000/) on your browser.
```bash ```bash
$ python application.py $ python application.py
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*obs.: This application was tested only on *Google Chrome*.* *obs.: This application was tested only on *Google Chrome*.*
## Download model
To download the `yolov3.weights`, just run:
```bash
$ cd models/
$ python dl-weights.py
```
## Usage ## Usage
- **Camera preview**: Enables and disables the webcam preview. - **Camera preview**: Enables and disables the webcam preview.
- **Run detection model**: Enables and disables the detection model. - **Run detection model**: Enables and disables the detection model.
- **Exposure**: Buttons which increase or decrease camera exposure stops by 1. - **Exposure**: Buttons which increase or decrease camera exposure stops by 1.
- **Contrast**: Buttons which increase or decrease camera contrast stops by 4. - **Contrast**: Buttons which increase or decrease camera contrast stops by 4.
- **Reset camera**: Reset all camera settings based on *camera_settings.log* file. - **Reset camera**: Reset all camera settings based on _camera_settings.log_ file.