streamlit application to for ANPR/ALPR
Find images matching a text query
Tag images with NSFW labels
Generate flow or disparity from two images
Analyze images to generate captions, detect objects, or perform OCR
Search for images or video frames online
Generate 3D depth maps from images and videos
Extract image sections by description
Find similar images
Install and run watermark detection app
Vote on background-removed images to rank models
Generate clickable coordinates on a screenshot
Estimate depth from images
License Plate Recognizer Streamlit is a Streamlit application designed for Automatic Number Plate Recognition (ANPR) or Automatic License Plate Recognition (ALPR). It allows users to recognize and extract license plate numbers from images. This tool leverages AI technology to process images and accurately identify license plate information, making it useful for various applications such as traffic monitoring, parking management, and security systems.
• Image Processing: The app can process uploaded images to detect and recognize license plates.
• Text Extraction: It extracts the license plate number from the image and displays it.
• Supported Formats: Accepts multiple image formats for input.
• User-Friendly Interface: Streamlit's intuitive interface makes it easy to upload images or input URLs.
streamlit run your_script_name.py (replace with the actual script name).What file formats does the app support?
The app supports common image formats like JPEG, PNG, and BMP. For specific supported formats, refer to the documentation.
Can this app recognize license plates from all countries?
The app is designed to recognize license plates from multiple countries, but accuracy may vary depending on the plate format and image quality.
How do I run the app locally?
To run the app locally, install Streamlit, clone the repository, and execute the script using streamlit run. Ensure all dependencies are installed beforehand.