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The core aim of the project is to automatically create a tiling mosaic effect where a larger image is made using a dataset of hundreds of smaller images. The application allows the user to apply this effect using a dataset of their choice and convert images and videos (internally processed frame-by-frame). The user can also behave as a server/client and connect to another PC with the application installed
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The project uses KD Trees and hash tables to find the nearest visually similar image to each tile and ensure real-time video streaming with minimal latency
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# Installation guide
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- Clone the repository by using ```git clone github.com/sdswoc/canvart```
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- Install Python 3.9.x and run ```pip3 install requirements.txt```
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# Usage
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```cd``` into the cloned directory and run ```python3 web.py``` on your console. You'll be presented with the flask webpage URL. Copy this link and enter it into your browser to launch the application.
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You can choose your dataset of tiler images by uploading jpg files using the button on the top-left corner
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