Pinned Repositories
Abhi83166
Config files for my GitHub profile.
abhi83166.github.io
Portfolio website
AI-ART
STABLE DIFFUSION GUI PROGRAM USING PYTHON
AI-ML
Projects related to Artificial Intelligence and Machine Learning.
Amazing-websites.
Lists of websites that raised the bar for website design.
AONIX_WEBSITE
arunodaytechwebsite
Website creation for Arunodaytech
awesome-agriculture
Open source technology for agriculture, farming, and gardening
awesome-Face_Recognition
papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;
awesome-fashion-ai
A repository to curate and summarise research papers related to fashion and e-commerce
Abhi83166's Repositories
Abhi83166/VisDrone-Dataset
The dataset for drone based detection and tracking is released, including both image/video, and annotations.
Abhi83166/VirtualTryOnGAN
TryOnGAN: Unofficial Implementation
Abhi83166/Virtual-FITTING
A virtual fitting room using Kinect v2 with gesture controlled GUI. The project aims to map any cloth images downloaded from the internet on a person standing in front of the Kinect Sensor
Abhi83166/ros_handler_detector
ROS node for handler detection of articulated objects.
Abhi83166/Violence-Detection-Python
Building a model that recognizes violence through surveillance cameras
Abhi83166/VR-Awesome
VR Awesome List
Abhi83166/Smart_Mirror_Kinect
Smart Mirror Project using Kinect
Abhi83166/Hand-Gesture-Recognition
Digital image processing helps replace several mundane activities. My project in final year was ‘Application Control using Hand Gesture Recognition From 3-Dimensional Images’. We worked extensively on processing a 3-D image to recognize the encrypted gesture, with the added 3rd dimension for more number of gestures. We started with extensive image segmentation to suppress background, handle dynamic lighting conditions and extract only portion of hand from the 3-D image. A tedious task, we researched many papers on IEEE and books on Image processing, to come-up with a complex code logic involving a combination of three different segmentation techniques involving RGB, YCbCr and HSV models. Further, with mathematical calculations involving use of Eigen values and Eigen vectors were derived based on the co-variance matrix, generated as per captured image, we managed to extract maximum information. A Euclidean distance was calculated to denote the deviation of captured image from each set of pre-captured images for all defined gestures. Hectic code optimization helped save precious execution time. The gesture corresponding to minimal Euclidean distance was the identified gesture. This project acquainted me with MATLAB and I learnt about various image enhancement and image segmentation techniques. I presented a paper at IEEE’s International Conference on Convergence of Technology (I2CT), Pune, published in the journal with ISBN “978-1-4799-3759-2”.
Abhi83166/HelloCode
Continuous Delivery With Microsoft Azure and Visual Studio Team Services
Abhi83166/magic-frame
"Magic" frame project implementation for AIT-Budapest's Computer Vision Applications for Digital Cinema.