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hw0_release (0, 2022-11-14)
hw0_release\.ipynb_checkpoints (0, 2022-11-14)
hw0_release\.ipynb_checkpoints\hw0-checkpoint.ipynb (21397, 2022-11-14)
hw0_release\16_16_baboon.png (2652, 2022-11-14)
hw0_release\50_400_baboon.png (25343, 2022-11-14)
hw0_release\__pycache__ (0, 2022-11-14)
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hw0_release\__pycache__\linalg.cpython-38.pyc (4109, 2022-11-14)
hw0_release\coordinate_rotation.png (62320, 2022-11-14)
hw0_release\hw0.ipynb (1907981, 2022-11-14)
hw0_release\image1.jpg (22549, 2022-11-14)
hw0_release\image2.jpg (16578, 2022-11-14)
hw0_release\imageManip.py (4866, 2022-11-14)
hw0_release\linalg.py (4918, 2022-11-14)
hw0_release\pythagorean.png (4629, 2022-11-14)
hw0_release\rotated_output.png (163257, 2022-11-14)
hw0_release\test.py (606, 2022-11-14)
hw1_release (0, 2022-11-14)
hw1_release\.ipynb_checkpoints (0, 2022-11-14)
hw1_release\.ipynb_checkpoints\hw1-checkpoint.ipynb (4245700, 2022-11-14)
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hw1_release\convolved_dog.png (45217, 2022-11-14)
hw1_release\dog.jpg (14481, 2022-11-14)
hw1_release\filters.py (5018, 2022-11-14)
hw1_release\hw1.ipynb (8828018, 2022-11-14)
hw1_release\padded_dog.jpg (93655, 2022-11-14)
hw1_release\shelf.jpg (201341, 2022-11-14)
hw1_release\shelf_dark.jpg (179089, 2022-11-14)
hw1_release\shelf_soldout.jpg (617464, 2022-11-14)
hw1_release\template.jpg (5121, 2022-11-14)
hw1_release\test.py (1165, 2022-11-14)
hw2_release (0, 2022-11-14)
hw2_release\.ipynb_checkpoints (0, 2022-11-14)
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# CS131: Computer Vision Foundations and Applications This repository contains the released assignments for the fall 2020 iteration of CS131, a course at Stanford taught by Juan Carlos Niebles and Jiajun Wu . follow this [website](http://vision.stanford.edu/teaching/cs131_fall2021/assignments.html) to install requirements. ### [Class Note In Chinese](https://yanzzzzzzzzz.github.io/categories/course/) # Homework #0 : Basics (Done) * Basic linear algebra * NumPy, and image manipulation using Python  # Homework #1 : Filters (Done) * Linear filters * Convolution * Correlation * Template Matching  # Homework #2 : Edges - Smart car lane detection (Done) * Canny edge detector * Hough transform * Lane Detection   # Homework #3 : Panorama - Image stitching (Done) * Harris corner detector * RANSAC * HOG descriptor * Linear blending * Panorama stitching * Stitching Multiple Images  # Homework #4 : Segmentation - clustering * Clustering Algorithms * K-Means clustering * Hierarchical Agglomerative Clustering * Quantitative Evaluation  # Homework #5 : Seam carving * Image Reducing And Enlarging * Improved Seam Carving Using Forward Energy * Object Removal  # Homework #6 : Object detection * Face Detection * Hog Feature * Image Pyramids * Deformable Parts Detection * K-Nearest Neighbors Classification * Cross Validation Choose Parameter K  # Homework #7 : Tracking - optical flow # Homework #8 : Camera Models

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