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phase 2 - task 0a
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.gitignore
vendored
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.gitignore
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Datasets/
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Other code/
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*.zip
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*.env
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LICENSE
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LICENSE
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Copyright (c) 2012-2023 Scott Chacon and others
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Copyright (c) 2023 Kaushik Narayan R and others
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Permission is hereby granted, free of charge, to any person obtaining
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a copy of this software and associated documentation files (the
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@ -8,9 +8,10 @@ Getting started: PyTorch, Caltech101 dataset, ResNet50 and similarity measures
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- Histogram of oriented gradients (HOG) - Cosine similarity
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- ResNet50 (avgpool, layer3, fc) - unsatisfactory results for all, simply used euclidean
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## Requirements
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## Requirements and dependencies
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Install packages from requirements.txt (might not be complete)
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- Requires MongoDB server (local or otherwise)
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- Install packages from requirements.txt
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## Task 1 - task_1.ipynb
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# Phase 2
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- Refer phase2_F23.pdf for problem description
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## Requirements and dependencies
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- Requires MongoDB server (local or otherwise)
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- Install packages from requirements.txt
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Phase 2/requirements.txt
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Phase 2/requirements.txt
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numpy
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scipy
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scikit-learn
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scikit-image
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opencv-python
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matplotlib
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torch
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torchvision
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pymongo[srv]
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ipython
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notebook
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ipykernel
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python-dotenv
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614
Phase 2/task_0.ipynb
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614
Phase 2/task_0.ipynb
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