CvDl course 2022 in NCKU

hw1:

1. Camera Calibration
2. Augmented Reality
3. Stereo Disparity Map
4. SIFT
5. Training Cifar10 Classifier Using VGG19 (Need to run model.py to do model training. (optimiser is SGD))

hw2:

1. Background Subtraction
2. Optical Flow (not done yet)
3. Perspective Transform
4. PCA
5. Train a Cat-Dog Classifier Using ResNet50 (Need to run train.py to do model training. (there're 2 loss functions can be chosen, SigmoidFocalCrossEntropy and BinaryCrossentropy))