dl_termproject

기초딥러닝 Term Project

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CONTENTS

• Color Quantization via K-Means Clustering
• Feature Extraction via CNN
• Image Segmentation via FCN
• Harmonic Color Suggestion via LSTM

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FILES

기초딥러닝 텀과제.pdf : main documentation for this project

color_palette_generator.ipynb : main file for this project

• (supposedly) integrated file for all clustering and utilization of neural networks

color_picker.ipynb

• practice file for integrating K-means clustering with other neural networks (as of 2023-06-30, only CNN)

dataset : folder containing manually created datasets

• includes images with their corresponding color palettes (more to be added)

prereq : folder containing study materials

• k_means_clustering_study.ipynb : study on k-means clustering
• neural_network_study.ipynb : study on CNN, FCN, LSTM
• opencv_study.ipynb : study on OpenCV (understanding image input and color representation)

misc : folder containing other inspiration

기초딥러닝 텀과제 제안서.pdf : PDF file for initial thoughts on project (for reference)