Discover ksheersaagr/Facial_Keypoint_Detection Open Source project

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Jupyter Notebook
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MIT License
Created almost 5 years ago
Updated over 4 years ago

ksheersaagr

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In this project, I've built a facial keypoint detection model using various computer vision techniques as well as deep learning architectures which take in an image of a human face and predicts the location of 68 different key points on each face in a particular image.

Automatic-Image-Captioning

A neural network architecture(CNN+LSTM) that automatically generates captions from the images. The model uses ResNet architecture to train the Encoder while DecoderRNN has to be trained with our choice of trainable parameters. I have trained the model on the Microsoft Common Objects in COntext (MS COCO) dataset and have tested the network on fictitious images!

Jupyter Notebook

Landmark_Detection_Robot_Tracking_SLAM-

Simultaneous Localization and Mapping(SLAM) also gives you a way to track the location of a robot in the world in real-time and identify the locations of landmarks such as buildings, trees, rocks, and other world features.

Jupyter Notebook

Kalman_Filters

Kalman filter finds the most optimum averaging factor for each consequent state. Also somehow remembers a little bit about the past states.

Jupyter Notebook

Moms-Spaghetti

Stash of some of the most potent research papers, blogs and videos on AI which I liked.

Amazon-price-scraper