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--- |
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title: Leprosy Detection |
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emoji: ⚡ |
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colorFrom: red |
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colorTo: gray |
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sdk: gradio |
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sdk_version: 5.20.1 |
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app_file: app.py |
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pinned: false |
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license: cc-by-4.0 |
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--- |
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# Leprosy Detection App |
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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). |
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## Overview |
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[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. |
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### Features |
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- Upload an image to the app. |
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- Utilizes a fine-tuned YOLOv5s model for leprosy detection. |
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- Detect and label leprosy regions in the uploaded image. |
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## Prerequisites |
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Before running the application, make sure you have the following prerequisites installed on your system: |
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- Python 3.x |
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- Git |
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- Gradio |
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- Pip package manager |
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- Conda Virtual environment (optional but recommended) |
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### Installation Steps and Running the app |
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To install the required Python libraries, navigate to the project directory and run the following command: |
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#### Step 1 Clone the repository |
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``` |
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# Make sure you have git-lfs installed (https://git-lfs.com) |
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git lfs install |
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git clone https://huggingface.co/spaces/Arekku21/Leprosy-Detection |
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# if you want to clone without large files – just their pointers |
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# prepend your git clone with the following env var: |
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GIT_LFS_SKIP_SMUDGE=1 |
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``` |
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#### Step 2 Install requirements |
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``` |
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#navigate to your cloned repository and location of requirmenents.txt |
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pip install -r requirements.txt |
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``` |
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#### Step 3 Run the app |
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``` |
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#ensure that you are using the right environment or have all the requirements installed |
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#ensure that you are navigated to the cloned repository |
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python app.py |
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``` |
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#### Step 4 Using the app |
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Your terminal should look like this and follow the local host URL link to use the application. |
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``` |
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Downloading: "https://github.com/ultralytics/yolov5/zipball/master" to C:\Users\master.zip |
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YOLOv5 2023-9-28 Python-3.9.18 torch-2.0.1+cpu CPU |
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Fusing layers... |
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Model summary: 157 layers, 7015519 parameters, 0 gradients, 15.8 GFLOPs |
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Adding AutoShape... |
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Running on local URL: http://127.0.0.1:7860 |
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``` |
