Amartya Bhattacharya's repositories
amartyacodes.github.io
Portfolio Website, Designed by me
Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
A-Fully-Unsupervised-Instance-Segmentation-Technique-for-White-Blood-Cell-Images
A novel unsupervised method for instance segmentation of white blood cells from bone marrow images
auto-py-to-exe
Converts .py to .exe using a simple graphical interface
CIGN
Official implementation for CIGN
twitter-scraper-selenium
Python's package to scrap Twitter's front-end easily
yolo-v1
PyTorch implementation of the YOLOv1 architecture presented in "You Only Look Once: Unified, Real-Time Object Detection" by Joseph Redmon, Santosh Divvala, Ross Girshick, Ali Farhadi
Gaze-Object-Detection
A module for detecting object or people, a person is looking at
HeadTracking
Head Tracking Model
Inshorts-API
An Inshorts API which provides news for different categories from the Inshorts Website. Built using Flask and Beautiful Soup.
vision
Datasets, Transforms and Models specific to Computer Vision
insightface
State-of-the-art 2D and 3D Face Analysis Project
face_recognition
The world's simplest facial recognition api for Python and the command line
GaTector-A-Unified-Framework-for-Gaze-Object-Prediction
This repository is the official implementation of GaTector, which studies the newly proposed task, gaze object prediction. In this work, we build a novel framework named GaTector to tackle the gaze object prediction problem in a unified way. Particularly, a specific-general-specific (SGS) feature extractor is firstly proposed to utilize a shared backbone to extract general features for both scene and head images. To better consider the specificity of inputs and tasks, SGS introduces two input-specific blocks before the shared backbone and three task-specific blocks after the shared backbone. Specifically, a novel defocus layer is designed to generate object-specific features for object detection task without losing information or requiring extra computations. Moreover, the energy aggregation loss is introduced to guide the gaze heatmap to concentrate on the stared box. In the end, we propose a novel mDAP metric that can reveal the difference between boxes even when they share no overlapping area. Extensive experiments on the GOO dataset verify the superiority of our method in all three tracks, i.e., object detection, gaze estimation, and gaze object prediction.
yolov7-head-detect-onnxrun-cpp-py
使用ONNXRuntime部署YOLOV7人头检测，包含C++和Python两个版本的程序
facenet-pytorch
Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models
LUPerson
Unsupervised Pre-training for Person Re-identification (LUPerson)
tensorflow
An Open Source Machine Learning Framework for Everyone