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u-net-pytorch

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Entries for the 2023 5th National College Student Integrated Circuit EDA Elite Challenge. SoC chip physical layout static IR drop prediction project based on methods such as image processing and NLP unsupervised learning.

  • Updated Aug 12, 2024
  • Python

A GroceryNet application built using Streamlit for the classification and segmentation of grocery product images. The system leverages a multicolor dual-input CNN model with parallel U-Net architecture and pre-trained ResNeXt50_32x4d encoders. It uses the Hierarchical Grocery Store Dataset for training and evaluation.

  • Updated May 1, 2025
  • Python

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