基于OpenCV、Customtkinter和预训练YOLO V3对象检测模型的Windows GUI应用程序

## FusionFrame FusionFrame is basic image and video processing application built using `python`, `opencv` and the `customtkinter` library. It allows users to apply various filters, detect objects using pre-trained YOLOv3, process prictures, stored videos, and live video feeds from a webcam. This was a weekend project as part of an extensive two months "Deep Neural Network Bootcamp" at GIKI Sawabi. ## Table of Contents - [FusionFrame](#fusionframe) - [Table of Contents](#table-of-contents) - [Features](#features) - [Installation](#installation) - [Usage](#usage) - [Features Overview](#features-overview) - [Contributing](#contributing) ## Features - Load and process images and videos, and live webcam. - Apply various filters such as Gaussian Blur, Median Blur, Bilateral Filter, and more. - Detect objects in images and videos using YOLOv3. - View live video feed from the webcam and apply filters or object detection in real-time. - Switch between Dark, Light, and System themes. ## Installation 1. **Clone the repository:** ```bash git clone https://github.com/Aamir-Khan-Maarofi/FusionFrame.git cd fusionframe ``` 1. **Create and activate a virtual environment:** ```bash python -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate ``` 2. **Install the required dependencies:** ```bash pip install -r requirements.txt ``` ## Usage 1. **Download YoloV3 Weights:** - [CFG (YoloV3)](https://github.com/pjreddie/darknet/blob/master/cfg/yolov3.cfg) - [ClassNames (YoloV3)](https://github.com/pjreddie/darknet/blob/master/data/coco.names) - [Weights (YoloV3)](https://github.com/patrick013/Object-Detection---Yolov3/blob/master/model/yolov3.weights) - Ensure that the files after download are placed in `yolo` sub-directory inside current script directory - Otherwise, update the paths in `YOLODetector` constructor to ensure that configurations are loaded ```python self.weights_path = 'yolo/yolov3.weights' self.cfg_path = 'yolo/yolov3.cfg' self.names_path = 'yolo/coco.names' ``` - On invalid configuration, invalid paths to configurations (files renamed, moved) the app will show an error message and abort. 1. **Run the application:** ```bash python fusionframe.py ``` ## Features Overview - Source Selection: Load images, videos, or start the live camera feed. - Object Detection: Use YOLOv3 to detect objects in the selected source. - Filters List: Apply various filters to the selected source. ## Contributing Feel free to add your creativity to FusionFrame! To contribute: - Fork the repository. - Create a new branch (git checkout -b feature-branch). - Make your changes. - Commit your changes (git commit -am 'commit message'). - Push to the branch (git push origin feature-branch). - Create a new Pull Request.