47 lines
1.1 KiB
Markdown
47 lines
1.1 KiB
Markdown
# Real-time object detection application
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Web application for _real-time_ object detection on video streaming via web browser.
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## Installation
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Create and activate an virtual environment, as follows:
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```bash
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$ cd cloned/directory/
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$ python -m venv env
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$ env/Scripts/activate
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```
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After have installed and activated the environment, install all the dependencies:
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```bash
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$ pip install -r requirements.txt
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```
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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.
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```bash
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$ python application.py
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```
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*obs.: This application was tested only on *Google Chrome*.*
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## Download model
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To download the `yolov3.weights`, just run:
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```bash
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$ cd models/
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$ python dl-weights.py
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```
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## Usage
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- **Camera preview**: Enables and disables the webcam preview.
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- **Run detection model**: Enables and disables the detection model.
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- **Exposure**: Buttons which increase or decrease camera exposure stops by 1.
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- **Contrast**: Buttons which increase or decrease camera contrast stops by 4.
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- **Reset camera**: Reset all camera settings based on _camera_settings.log_ file.
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