Project

P556 Final Project

Andrew Corum

Deliverables:

• Topic idea
• Project proposal
• Progress report
• Final submission
• Presentation

CNN Trials

Test Accuracy	Epochs	Conv Layers	Dropout	Dense Layers	BatchNorm?
0.9938	90	32 (3x3), Pool (2x2) 64 (3x3), Pool (2x2) 64 (3x3)	N/A	128 64
0.9929	90	32 (3x3), Pool (2x2) 64 (3x3), Pool (2x2) 64 (3x3)	0.25 0.25	128 64
0.9920	90	32 (3x3), Pool (2x2) 64 (3x3), Pool (2x2) 64 (3x3)	0.5 0.5	128 64
0.9932	90	32 (3x3), Pool (2x2) 64 (3x3), Pool (2x2) 64 (3x3)	0.25 0.5	128 64
0.9926	90	32 (3x3), Pool (2x2) 64 (3x3), Pool (2x2) 64 (3x3	0.5 0.25	128 64
0.9930	90	32 (3x3), Pool (2x2) 64 (3x3), Pool (2x2) 64 (3x3)	N/A	256 128
0.9921	90	32 (3x3), Pool (2x2) 64 (3x3), Pool (2x2) 64 (3x3)	0.25 0.25	256 128
0.9932	90	32 (3x3), Pool (2x2) 64 (3x3), Pool (2x2) 64 (3x3)	0.25 0.5	256 128
0.9947	90	32 (3x3), Pool (2x2) 64 (3x3) 64 (3x3), Pool (2x2) 64 (3x3)	N/A	256 128
0.9937	90	32 (3x3), Pool (2x2) 64 (3x3) 64 (3x3), Pool (2x2) 64 (3x3)	0.25 0.25	256 128
0.9950	90	32 (3x3), Pool (2x2) 64 (3x3) 64 (3x3), Pool (2x2) 64 (3x3)	0.5 0.5 0.5	128
0.9955	90	32 (3x3), Pool (2x2) 64 (3x3) 64 (3x3), Pool (2x2) 64 (3x3)	0.5 0.5 0.5	128	Yes
0.9924	90	32 (3x3) 64 (3x3) 64 (3x3) 64 (3x3)	0.5 0.5 0.5	128	Yes
0.9954	90	32 (3x3) 64 (3x3), Pool (2x2) 64 (3x3) 64 (3x3), Pool (2x2) 64 (3x3)	0.5 0.5 0.5	128	Yes
0.9937	90	32 (3x3) 64 (3x3), Pool (2x2) 64 (3x3) 64 (3x3), Pool (2x2) 64 (3x3)		128	Yes
0.9951	90	32 (3x3) 64 (3x3), Pool (2x2) 64 (3x3) 64 (3x3), Pool (2x2) 64 (3x3)	0.25 0.25 0.25 0.25	128	Yes
0.9950	90	32 (3x3) 64 (3x3), Pool (2x2) 64 (3x3) 64 (3x3), Pool (2x2) 64 (3x3)	0.4 0.4 0.4 0.4	128	Yes
0.9960	90	32 (3x3) 64 (3x3), Pool (2x2) 64 (3x3) 64 (3x3), Pool (2x2) 64 (3x3)	0.3 0.3 0.3 0.3	128	Yes
table generator

Dependencies

• https://github.com/muodov/kociemba

References

• https://imagemagick.org/
• https://docs.opencv.org/
  • https://docs.opencv.org/3.4/da/df5/tutorial_py_sift_intro.html
  • https://docs.opencv.org/3.4/dc/dc3/tutorial_py_matcher.html
  • https://docs.opencv.org/master/d1/d5c/tutorial_py_kmeans_opencv.html
  • https://www.tutorialkart.com/opencv/python/opencv-python-gaussian-image-smoothing/
  • Adpative thresholding for various lighting conditions: https://docs.opencv.org/3.4/d7/d4d/tutorial_py_thresholding.html
  • Contours https://docs.opencv.org/3.4/d4/d73/tutorial_py_contours_begin.html
  • Hough Transform: https://docs.opencv.org/3.4/d9/db0/tutorial_hough_lines.html
  • OTSU Thresholding: https://docs.opencv.org/3.4/d7/d4d/tutorial_py_thresholding.html
• Webcam using OpenCV: https://stackoverflow.com/questions/604749/how-do-i-access-my-webcam-in-python
• OpenCV crop: https://stackoverflow.com/questions/61927877/how-to-crop-opencv-image-from-center
• Bag of Visual Words:
  • https://en.wikipedia.org/wiki/Bag-of-words_model_in_computer_vision
  • https://medium.com/@aybukeyalcinerr/bag-of-visual-words-bovw-db9500331b2f
• Searching for array in a 2d array:
  • https://www.w3resource.com/python-exercises/numpy/python-numpy-exercise-171.php
• https://scikit-learn.org/stable/modules/classes.html
• Rubiks cube: https://towardsdatascience.com/learning-to-solve-a-rubiks-cube-from-scratch-using-reinforcement-learning-381c3bac5476
• OpenCV Sudoku solver: https://www.pyimagesearch.com/2020/08/10/opencv-sudoku-solver-and-ocr/
• Hough transform for grid detection: https://stackoverflow.com/questions/48954246/find-sudoku-grid-using-opencv-and-python
• TensorFlow Docs: https://www.tensorflow.org/
• Keras Docs: https://www.tensorflow.org/guide/keras
• CUDA install/setup docs: https://docs.nvidia.com/cuda/cuda-installation-guide-microsoft-windows/
• Simple CNN for MNIST dataset: https://linux-blog.anracom.com/2020/05/31/a-simple-cnn-for-the-mnist-datasets-ii-building-the-cnn-with-keras-and-a-first-test/
• Python constraint programming: https://stackabuse.com/constraint-programming-with-python-constraint/#listofbuiltinconstraints