Vision Class

Introduction to Machine learning and Deep learning for Computer vision, A course from Shahid Rajaie University (SRU) of Tehran, Held in winter and fall of 2018.

Course starts with an Introduction to Computer Vision with practical approach using opencv on python, then, continues with an Introduction to Learning Algorithms and Neural Networks. after that, Deep Neural Networks published after 2012 are studied and are implemented using python and Tensorflow, Keras, and FastAI Machine learning and deep learning frameworks.

Sessions

Tables consisting content of each semester in Persian can be found here: Winter 2018 • Fall 2018

Computer Vision

S1 - Course Introduction

🎯 Topics

Computer vision overview Course logistics

💡 Slides

Introduction PDF

📒 NoteBooks

Beginning

S2 - Opencv basics in python

🎯 Topics

Reading Images Color Spaces Displaying Images Saving Images

📒 NoteBooks

📝 Student notes

S3 - Image manipulation (part 1)

🎯 Topics

Linear algebra Transform matrices Interpolation Methods

💡 Slides

Image manipulations (1) PDF • PPT

S4 - Image manipulation functions in OpenCV

🎯 Topics

Draw geometric shapes Transform matrices Translations Rotation Resizing Image pyramids Cropping

Name		Name	Last commit message	Last commit date
Latest commit History 104 Commits
30-FaceRecognition_verification		30-FaceRecognition_verification
30-face-tensorflow/face_project		30-face-tensorflow/face_project
32-detect		32-detect
49-image_captioning		49-image_captioning
50-machine-translation-with-attention		50-machine-translation-with-attention
51-Trigger-word-detection		51-Trigger-word-detection
52-music-generation-with-LSTM		52-music-generation-with-LSTM
Assets		Assets
Haarcascades		Haarcascades
dataset		dataset
excel		excel
images		images
lecture_images		lecture_images
tf2		tf2
.gitignore		.gitignore
0-Beginning.ipynb		0-Beginning.ipynb
01-Reading, writing and displaying images.ipynb		01-Reading, writing and displaying images.ipynb
02-Grayscaling.ipynb		02-Grayscaling.ipynb
03-Color Spaces.ipynb		03-Color Spaces.ipynb
03-extra.ipynb		03-extra.ipynb
04-Drawing Images.ipynb		04-Drawing Images.ipynb
05-Translations.ipynb		05-Translations.ipynb
06-Rotations.ipynb		06-Rotations.ipynb
07-Scaling, re-sizing and interpolations.ipynb		07-Scaling, re-sizing and interpolations.ipynb
08-Image Pyramids.ipynb		08-Image Pyramids.ipynb
09-Cropping.ipynb		09-Cropping.ipynb
10-Arithmetic Operations.ipynb		10-Arithmetic Operations.ipynb
11-Bitwise Operations and Masking.ipynb		11-Bitwise Operations and Masking.ipynb
12-Convolutions and Blurring.ipynb		12-Convolutions and Blurring.ipynb
13-Sharpening.ipynb		13-Sharpening.ipynb
14-Thresholding, Binarization & Adaptive Thresholding.ipynb		14-Thresholding, Binarization & Adaptive Thresholding.ipynb
15-Dilation, Erosion, Opening and Closing.ipynb		15-Dilation, Erosion, Opening and Closing.ipynb
16-EdgeDetection&ImageGradients.ipynb		16-EdgeDetection&ImageGradients.ipynb
17-Perspective&AffineTransforms.ipynb		17-Perspective&AffineTransforms.ipynb
18-UsingWebcam.ipynb		18-UsingWebcam.ipynb
19-Intro2ML-HodaDataset.ipynb		19-Intro2ML-HodaDataset.ipynb
20-k-Nearest Neighbor classification.ipynb		20-k-Nearest Neighbor classification.ipynb
21-a Gentle Introduction to Keras - Simple neural network(mlp).ipynb		21-a Gentle Introduction to Keras - Simple neural network(mlp).ipynb
22-Dropout.ipynb		22-Dropout.ipynb
23-ConvolutionalNeuralNetwork-Hoda-Keras.ipynb		23-ConvolutionalNeuralNetwork-Hoda-Keras.ipynb
24-CNN-cat_Vs_dog.ipynb		24-CNN-cat_Vs_dog.ipynb
25-data_augmentation.ipynb		25-data_augmentation.ipynb
26-Load_trained_model_in_keras.ipynb		26-Load_trained_model_in_keras.ipynb
27-using-a-pretrained-convnet.ipynb		27-using-a-pretrained-convnet.ipynb
28-Transfer_learning_feature_extraction.ipynb		28-Transfer_learning_feature_extraction.ipynb
29-Transfer_learning_Fine_tuning.ipynb		29-Transfer_learning_Fine_tuning.ipynb
31-Face&EyeDetection.ipynb		31-Face&EyeDetection.ipynb
33-keras-multi-label-part1.ipynb		33-keras-multi-label-part1.ipynb
34-keras-multi-label-part2-load-and-test.ipynb		34-keras-multi-label-part2-load-and-test.ipynb
35-intro-to-tensorflow.ipynb		35-intro-to-tensorflow.ipynb
36-mnist-dataset-in-tensorflow.ipynb		36-mnist-dataset-in-tensorflow.ipynb
37-FullyConnectedNetwork-mnist-tensorflow.ipynb		37-FullyConnectedNetwork-mnist-tensorflow.ipynb
38-CNN-mnist-tensorflow.ipynb		38-CNN-mnist-tensorflow.ipynb
39-Intro-FastAi.ipynb		39-Intro-FastAi.ipynb
40-breeds.ipynb		40-breeds.ipynb
41-planet-multi-label-part3.ipynb		41-planet-multi-label-part3.ipynb
42-text-generation-with-lstm.ipynb		42-text-generation-with-lstm.ipynb
43-basic_text_classification.ipynb		43-basic_text_classification.ipynb
44-using-word-embeddings.ipynb		44-using-word-embeddings.ipynb
45-analogy-using-embeddings.ipynb		45-analogy-using-embeddings.ipynb
46-debiasing-word-vectors.ipynb		46-debiasing-word-vectors.ipynb
47-text-classification-Emojify.ipynb		47-text-classification-Emojify.ipynb
48-text-generation-on-shahnameh-tensorflow.ipynb		48-text-generation-on-shahnameh-tensorflow.ipynb
53-RecommendationSystem.ipynb		53-RecommendationSystem.ipynb
54-neural-style-transfer.ipynb		54-neural-style-transfer.ipynb
55-simple-GAN.ipynb		55-simple-GAN.ipynb
56-DCGAN.ipynb		56-DCGAN.ipynb
57-gan-pix2pix_tensorflow_eager.ipynb		57-gan-pix2pix_tensorflow_eager.ipynb
Grad-CAM.ipynb		Grad-CAM.ipynb
LICENSE		LICENSE
README.md		README.md
U-Net.ipynb		U-Net.ipynb
dataset.py		dataset.py
planet.py		planet.py

License

farshad-jafari/class.vision

Folders and files

Latest commit

History