GitHub - moinam/ATiML: Advanced Topics in Machine Learning

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Name		Name	Last commit message	Last commit date
Latest commit History 71 Commits
.vscode		.vscode
VOCtrainval_06-Nov-2007/VOCdevkit/VOC2007/ImageSets/Main/processed_files		VOCtrainval_06-Nov-2007/VOCdevkit/VOC2007/ImageSets/Main/processed_files
old code		old code
.gitignore		.gitignore
COP_Kmeans.py		COP_Kmeans.py
Dataset.py		Dataset.py
Final Poster.pdf		Final Poster.pdf
Main.py		Main.py
Main_Eval.py		Main_Eval.py
Main_Eval_K.py		Main_Eval_K.py
PC_Kmeans.py		PC_Kmeans.py
README.txt		README.txt
__init__.py		__init__.py
bag_of_visual_words.py		bag_of_visual_words.py
candidate_selection.py		candidate_selection.py
cluster_evaluation.py		cluster_evaluation.py
constraint_creation.py		constraint_creation.py
debug_project_code.py		debug_project_code.py
mpeg7_color_layout.py		mpeg7_color_layout.py
project_code.ipynb		project_code.ipynb
requirements.txt		requirements.txt
sift.py		sift.py

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Instructions to run code:

1. PASCAL Dataset folder VOCtrainval_06-Nov-2007 has to be appended to the existing folder for the code to access image data set.
2. Run pip to install all the required packages mentioned in the requirements.txt
3. Run the Main.py file to run the projcet code. Args must be passed to the file.
   To run the code enter py Main.py --k {number of candidates} --query {image filename}
   Ex: py Main.py --k 100 query 000007