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| title: Leprosy Detection | |
| emoji: ⚡ | |
| colorFrom: red | |
| colorTo: gray | |
| sdk: gradio | |
| sdk_version: 3.44.4 | |
| app_file: app.py | |
| pinned: false | |
| license: cc-by-4.0 | |
| # Leprosy Detection App | |
| Leprosy Gradio Detection web application. In this application, I have used a fine tuned YOLOv5s model to detect Leprosy samples based on images. The application uses gradio as the platform and can also be used in the [Huggingface online hosting application](https://huggingface.co/spaces/Arekku21/Leprosy-Detection). | |
| ## Overview | |
| [Leprosy](https://en.wikipedia.org/wiki/Leprosy), also known as Hansen's disease, is a chronic infectious disease that primarily affects the skin and peripheral nerves. The model used is a YOLO model from [Ultralytics](https://github.com/ultralytics/yolov5) with their version YOLOv5. | |
| ### Features | |
| - Upload an image to the app. | |
| - Utilizes a fine-tuned YOLOv5s model for leprosy detection. | |
| - Detect and label leprosy regions in the uploaded image. | |
| ## Prerequisites | |
| Before running the application, make sure you have the following prerequisites installed on your system: | |
| - Python 3.x | |
| - Git | |
| - Gradio | |
| - Pip package manager | |
| - Conda Virtual environment (optional but recommended) | |
| ### Installation Steps and Running the app | |
| To install the required Python libraries, navigate to the project directory and run the following command: | |
| #### Step 1 Clone the repository | |
| ``` | |
| # Make sure you have git-lfs installed (https://git-lfs.com) | |
| git lfs install | |
| git clone https://huggingface.co/spaces/Arekku21/Leprosy-Detection | |
| # if you want to clone without large files – just their pointers | |
| # prepend your git clone with the following env var: | |
| GIT_LFS_SKIP_SMUDGE=1 | |
| ``` | |
| #### Step 2 Install requirements | |
| ``` | |
| #navigate to your cloned repository and location of requirmenents.txt | |
| pip install -r requirements.txt | |
| ``` | |
| #### Step 3 Run the app | |
| ``` | |
| #ensure that you are using the right environment or have all the requirements installed | |
| #ensure that you are navigated to the cloned repository | |
| python app.py | |
| ``` | |
| #### Step 4 Using the app | |
| Your terminal should look like this and follow the local host URL link to use the application. | |
| ``` | |
| Downloading: "https://github.com/ultralytics/yolov5/zipball/master" to C:\Users\master.zip | |
| YOLOv5 2023-9-28 Python-3.9.18 torch-2.0.1+cpu CPU | |
| Fusing layers... | |
| Model summary: 157 layers, 7015519 parameters, 0 gradients, 15.8 GFLOPs | |
| Adding AutoShape... | |
| Running on local URL: http://127.0.0.1:7860 | |
| ``` |