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  • 👋 Hi, I’m @Abhi83166
  • 👀 I’m interested in Science and solving problems.
  • 🌱 I’m currently learning science.
  • 💞️ I’m looking to work on projects which can solve real world problems.
  • 📫 How to reach me [email protected]

MERGENCODE's Projects

ai-art icon ai-art

STABLE DIFFUSION GUI PROGRAM USING PYTHON

ai-ml icon ai-ml

Projects related to Artificial Intelligence and Machine Learning.

awesome-face_recognition icon 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 icon awesome-fashion-ai

A repository to curate and summarise research papers related to fashion and e-commerce

awesome-virtual-try-on icon awesome-virtual-try-on

A curated list of awesome research papers, projects, code, dataset, workshops etc. related to virtual try-on.

dalle-flow icon dalle-flow

A Human-in-the-Loop workflow for creating HD images from text

deepcamera-edgeai icon deepcamera-edgeai

Open-Source AI Camera. Empower any camera/CCTV with state-of-the-art AI, including facial recognition, person recognition(RE-ID) car detection, fall detection and more

hand-gesture-recognition icon 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”.

hellocode icon hellocode

Continuous Delivery With Microsoft Azure and Visual Studio Team Services

kivy-examples icon kivy-examples

Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS

magic-frame icon magic-frame

"Magic" frame project implementation for AIT-Budapest's Computer Vision Applications for Digital Cinema.

models-onnx icon models-onnx

A collection of pre-trained, state-of-the-art models in the ONNX format

nnom icon nnom

A higher-level Neural Network library for microcontrollers.

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