Solving Jigsaw Puzzles with Deep Convolutional Neural Networks
Solving jigsaw puzzles using Matlab and CVX toolbox (THU Convex Optimization Homework).
Python code to solve Jigsaw Sudoku using backtracking with look forward (Forward Checking) and model dependant ordinal strategies
jigsaw puzzle and grid puzzle solver
This project presents a deep learning-based solution for solving jigsaw puzzles. It employs permutation learning techniques to analyze and reconstruct jigsaw puzzles from provided image pieces. A user-friendly interface is available through a Streamlit application, allowing users to upload puzzle pieces and receive the assembled image.
Rectangular jigsaw reconstruction program written for bachelor's thesis.
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