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open_layout-hotspot-detection's Introduction

Open_Layout-Hotspot-Detection-with-Feature-Tensor-Generation-and-Deep-Biased-Learning

This project is a code reproduction of Layout Hotspot Detection with Feature Tensor Generation and Deep Biased Learning(https://dl.acm.org/doi/abs/10.1145/3061639.3062270?casa_token=rcvU2YlXhmoAAAAA:2g07VR8y7DmtfN8Ww3DuTVpu36N3qo2oYxj7lvgkiqj0tGArG36nOhGhuRzKNKEHmjSDul-zBdP3).

Environment:

conda create --name lhd

conda activate lhd

Run;

python main.py

Result:

DCT: https://github.com/Sosekie/Open_Layout-Hotspot-Detection-with-Feature-Tensor-Generation-and-Deep-Biased-Learning/blob/main/dataset/dct_patches/1_dct.jpg

result.jpg: https://github.com/Sosekie/Open_Layout-Hotspot-Detection-with-Feature-Tensor-Generation-and-Deep-Biased-Learning/blob/main/result.jpg

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