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Adding FloraGuard initial workig version, no object detection yet.

Merged Isaac Espinosa requested to merge dev_code into main
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## Description
Tools for Automatic Training Data Generation using a Raspberry Pi
FloraGuard leverages Raspberry Pi and YOLO object detection models to monitor pollinizers like bees and hummingbirds visiting flowers. This initiative aims to enhance environmental research by automating data collection and analysis of pollinator activities, which are crucial for ecological assessments and conservation efforts. The project utilizes video data provided by Rossana Maguiña, processed through advanced machine learning techniques to accurately identify and track pollinator interactions in natural habitats.
# WiFi Router Setup Script for Raspberry Pi Zero 2 W
## Description
@@ -23,4 +25,30 @@ chmod +x setup_wifi_router.sh
```bash
sudo ./setup_wifi_router.sh "YourSSID" "YourStrongPassword"
```
3. **Reboot**
# Flask Camera App Service
## Description
This Flask application provides a web interface for controlling a camera connected to a Raspberry Pi. It allows users to capture and view images directly through the web interface. The application is configured to start automatically at boot using a systemd service.
## Flask Service Setup Script
### Description
The provided script automates the setup of the Raspberry Pi to run the Flask application as a systemd service. This setup ensures that the Flask application starts on boot and remains running.
### Requirements
- Raspberry Pi with Raspberry Pi OS installed.
- Flask application must be installed and configured correctly in the specified directory.
- User must have `sudo` privileges to configure systemd services.
### Usage
1. **Make the script executable**:
```bash
chmod +x setup_flask_service.sh
```
2. **Run the script with sudo** and provide your desired service name and the path to your Flask application directory:
```bash
sudo ./setup_flask_service.sh "floraguard" "/home/flora/pivision_tools/Code"
```
3. **Reboot**
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