Sabarinathan's Projects
Attention Squeeze U-Net
This repository contains a PyTorch implementation of a person attribute recognition model. The model has been trained to recognize various attributes such as age, gender, hair length, upper body features, lower body features, and accessories.
This repository contains the sample codes for prompt engineering
automatic cheque extraction module using deep learning
This repository contains the sample codes for keypoint detection
This repository provides a sample implementation of a diffusion-based model for image generation and manipulation.
Implementation of scanned document table segmentation with U-net
Profile
Dual Residual Channel Attention Net for Spectral Reconstruction
Implementation of EfficientNet model. Keras and TensorFlow Keras.
FacialAttributesExtractor is a Python library for precise facial attribute extraction, offering comprehensive insights into various features using OpenCV and Deep Learning. Enhance your image processing and real-time video applications with accurate analysis of age, gender, hair length, and more.
chatbot using the Japanese Language
A Python project which can detect gender and age using OpenCV of the person (face) in a picture or through webcam.
This GitHub branch contains the Hiragana OCR module, which is a crucial component of our larger Japanese Character Recognition project. The main objective of this branch is to accurately recognize and convert handwritten or printed Hiragana characters into digital text format.
JQuery lightSlider is a lightweight responsive Content slider with carousel thumbnails navigation
LightWeightModel_Spectral_Reconstruction
Lighweight Denoise model
DNA Sequence Based S_Box Generation
MOIR´E IMAGE RESTORATION USING MULIT LEVEL HYPER VISION NET
OpenDocument : Real time document processing library
Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)
Efficient Supervision Net: Polyp Segmentation using Efficient net and Attention unit
DNA Sequence Based S_Box Generation
Implement SANet for crowd counting in Keras.
SAR+EO image classification using modified efficient
A Keras port of Single Shot MultiBox Detector
Light Weight Deep Learning Model For Trimap Prediction
React
Typescript
Django
Laravel
Facebook
Microsoft
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Alibaba
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