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Machine-vision

Notes for CSC449.
More in the following two repos:
Hough transformation https://github.com/ChloeZPan/Hough-Transform
DCF tracker https://github.com/ChloeZPan/DCF-tracker

Due to the course policy, I cannot post my code.

Problem Solved

Some Resources

A Comprehensive Guide to Convolutional Neural Networks
https://towardsdatascience.com/a-comprehensive-guide-to-convolutional-neural-networks-the-eli5-way-3bd2b1164a53

ml-cheatsheet
https://ml-cheatsheet.readthedocs.io/en/latest/loss_functions.html

Stochastic Gradient Descent with momentum
https://towardsdatascience.com/stochastic-gradient-descent-with-momentum-a84097641a5d

PyTorch - DataLoader
https://blog.csdn.net/g11d111/article/details/81504637

Fourier Transform? A visual introduction
https://www.youtube.com/watch?v=spUNpyF58BY

Canny Edge Detection Step by Step in Python — Computer Vision
https://towardsdatascience.com/canny-edge-detection-step-by-step-in-python-computer-vision-b49c3a2d8123

Matrix derivatives
https://blog.csdn.net/promisejia/article/details/80159619

Properties of the Trace and Matrix Derivatives
https://web.stanford.edu/~jduchi/projects/matrix_prop.pdf

Pytorch - Word Embedding
https://www.pytorchtutorial.com/10-minute-pytorch-7/

Pytroch - pack_padded_sequence()
https://www.cnblogs.com/sbj123456789/p/9834018.html
https://blog.csdn.net/lssc4205/article/details/79474735

N-gram
https://blog.csdn.net/songbinxu/article/details/80209197

LSTM
https://colah.github.io/posts/2015-08-Understanding-LSTMs/

Image Captioning (CNN-RNN)
https://shenxiaohai.me/2018/10/22/pytorch-tutorial-advanced-04/

Embed attention mechanism into image cpation model
https://www.jianshu.com/p/79f48437a442

Input and output dimension in rnn,lstm,gru
https://www.jianshu.com/p/b942e65cb0a3

Pytorch from scratch
https://baijiahao.baidu.com/s?id=1597446499634684834&wfr=spider&for=pc

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