Gautam Kumar's Projects
365 Days Computer Vision Learning Linkedin Post
Generate 3D image from 2D images
3D ear recognition
Development of 3D face and ear recognition system
A list of papers and datasets about point cloud analysis (processing)
This repository contains a dataset and simple python script for a tutorial on how to setup and configure an AWS EC2 server instance for use with python sklearn , and how to transfer data and code to your server and train a simple Random Forest Classifier.
Bar code reader using webcam
Fine-tune CNN in Keras
Data Augmentation- generation, visualization and expansion and store augmentd images into local disk
Application can detect drowsiness and raise alarm.
pix2pix demo that learns from facial landmarks and translates this into a face
We can lock and unlock our Ubuntu system using face recognition(currently only on Ubuntu).
Real time face recognition using Python
Unofficial PyTorch implementation of Fastformer based on paper "Fastformer: Additive Attention Can Be All You Need"."
Gaze Estimation using Deep Learning, a Tensorflow-based framework.
This is repository for Global-ProtEnc Plus.
Code for A GRAPH-CNN FOR 3D POINT CLOUD CLASSIFICATION (ICASSP 2018)
An Image Processing Tool to Generate Ground Truth Data from Satellite Images using Deep Learning
Hi there, last few blogs were hardcore machine learning and AI. Today let’s learn something interesting, lets do some magic using computer vision. I hope you all know about Harry Potter’s ‘invisible cloak’, the one he uses to become invisible. We will see how we can do the same magic trick with the help of computer vision. I will code with python and use the opencv library.
The project is an attempt to implement the Incremental Linear Discriminant Analysis from the 2005 paper of Shaoning Pang et al.
Have an image of person A and person B, check both images are of same person or not.
An end-to-end Iris Recognition implementation using PyTorch
:smiley_cat: Pretty & simple image classifier app template. Deploy your own trained model or pre-trained model (VGG, ResNet, Densenet) to a web app using Flask in 10 minutes.
A Keras implementation of YOLOv3 (Tensorflow backend)
Training and Detecting Objects with YOLO3
Support repository for medium article "Keras in the cloud with Amazon SageMaker"
:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images
Learn OpenCV : C++ and Python Examples