Computer-Vision
Hello Everyone !
This repo contains both the basics and advance topics of Computer Vision, along with Implemention using Deep Learning with Python.
Contents
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How images are read.
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Edges, corners, contour as features.
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Why corners are better features.
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Color format of images like HSV and RGB.
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Clustering the parts of image using Kmeans.
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Face detection.
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Noise reduction in an image.
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Filters like LPF, HPF, Sobel etc.
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Convolutional Neural Network.
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Classification of Images using CNN.
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Facial Keypoint detection.
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Applying Filter on detected facial Keypoints like Snapchat.
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Brief description on RCNN, FRCNN, Faster RCNN, YOLO etc.
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Classification of Multiple Object in an image.
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Tracking and Classifying objects in an Video using Darknet/Yolov3.
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Creating Basic LSTM network for POS tagging.
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Generate Next word based on Previous Input using LSTM.
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Hyperparameters like learning rate, Epoch's, Mini-batch Size, Hidden units/ layers etc
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Why Attention over Seq2Seq ?
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Why Transformer better than Attention with RNN ?
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Image Captioning using Attention.
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Pytorch Implementation of Both NLP and Computer Vision Tasks
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Sentiment Analysis using Pytorch with RNN Architecture.
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Word/Character Generation using LSTMs
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Generate MNIST Images using GANs
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Generate Celebrity Faces using DCGANs
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Understanding Optical Flow
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Shi-Tomasi Corner Detector
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Understanding Sense and Move through probability distribution
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2D Histogram Filter (Monte Carlo)
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Robot Localization through Sense and Move
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Kalman Filter (Gaussian Distribution)
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SLAM - Simultaneous Localization and Mapping
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Landmark Detection
To be Continued...