This project is responsible for receiving a video containing several vehicles and identifying how many cars there are in the image.
The project is still under development and the next updates will focus on the following tasks:
- [] Import and work the Media within the application.
- [] Create machine learning code to identify cars in the media.
- [] Save the data of how many vehicles there were in the image in the database.
Before starting, make sure you've met the following requirements:
- Have you installed the latest version of
<Python3>?. - Do you have a machine
<Windows / Linux / Mac>?.
To install , follow this steps:
python -m pip install virtualenv
Run the code above to install the library that will create the python virtual environment.
cd /env/Scripts/
run "activate.bat"
Run the code above to enable the virtual environment.
python -m pip install -r requirements.txt
Run the code above in the same directory as the requirements.txt file to install the libraries needed for the project to work.
Para usar , siga estas etapas:
python app.py
Run the above command in the same directory as the "app.py" file to run the API locally.
To run the API activate the Flask server:
<path: TCC/>
flask run
by default the server will use the port 5000
see access endpoints and their methods
localhost:5000/apidoc/swagger
We thank the following people who contributed to this project:
+
 Guilherme Anacleto |
+
 Elias Santana |