Pinned Repositories
Assignment-2
CODE_DEMO_FOR_VSCODE
Compose-Community
It is a community where we provide free and quality educations (Technical Skills) to all.
Deep-adversarial-decomposition
Pytorch implementation of the paper: "A Unified Framework for Separating Superimposed Images", in CVPR 2020.
Dev-Geeks
Hacktoberfest'22
DS-Algo
Implementation of Data structures and Algorithms at Apni Kaksha Java Placement Course
Face-Recognition-using-LDA-Fischer-faces
The Eigenfaces methodology uses information theory approach of encoding the extracted information as efficiently as possible and compare one face encoding with a database of faces encoded similarly. It captures the variation in collection of face images independent of judgement of features.
Morphing
Separation of a morph image into its constituents ID's using GAN based approach with biometric loss function as a separation critic along with GAN loss and Pixel loss.
Vehicle-Counting
The vehicle counting procedure offers accurate data on traffic flow, vehicle collisions, and traffic peak times on highways. Using digital image processing technologies on traffic camera video outputs is an acceptable strategy for achieving these goals. The Kalman filter is used to create a vehicle counter-classifier based on a mixture of video-image processing methods such as object detection, edge detection, frame distinction, and the Kalman filter. The proposed technique has been implemented using the Python programming language. The method's accuracy in vehicle counts and classification was assessed, yielding a classification accuracy of around 95% and a vehicle detection target error of about 4%. Vehicle Counting, Vehicle Detection, Traffic Analysis, Object Detection, Video-Image Processing are some of the terms used in this paper.
VIDEO_KYC
Video kyc project for helping INDIAN's in order to provide a faster KYC option rather than a manual KYC.
pjswall's Repositories
pjswall/Vehicle-Counting
The vehicle counting procedure offers accurate data on traffic flow, vehicle collisions, and traffic peak times on highways. Using digital image processing technologies on traffic camera video outputs is an acceptable strategy for achieving these goals. The Kalman filter is used to create a vehicle counter-classifier based on a mixture of video-image processing methods such as object detection, edge detection, frame distinction, and the Kalman filter. The proposed technique has been implemented using the Python programming language. The method's accuracy in vehicle counts and classification was assessed, yielding a classification accuracy of around 95% and a vehicle detection target error of about 4%. Vehicle Counting, Vehicle Detection, Traffic Analysis, Object Detection, Video-Image Processing are some of the terms used in this paper.
pjswall/Morphing
Separation of a morph image into its constituents ID's using GAN based approach with biometric loss function as a separation critic along with GAN loss and Pixel loss.
pjswall/Compose-Community
It is a community where we provide free and quality educations (Technical Skills) to all.
pjswall/Dev-Geeks
Hacktoberfest'22
pjswall/VIDEO_KYC
Video kyc project for helping INDIAN's in order to provide a faster KYC option rather than a manual KYC.
pjswall/Assignment-2
pjswall/CODE_DEMO_FOR_VSCODE
pjswall/Deep-adversarial-decomposition
Pytorch implementation of the paper: "A Unified Framework for Separating Superimposed Images", in CVPR 2020.
pjswall/Face-Recognition-using-LDA-Fischer-faces
The Eigenfaces methodology uses information theory approach of encoding the extracted information as efficiently as possible and compare one face encoding with a database of faces encoded similarly. It captures the variation in collection of face images independent of judgement of features.
pjswall/Face_Recognition_using_webcam
In this project we will recognize our own face using laptop webcam. This code is written in python which can be run using command prompt.
pjswall/Hacktober-Fest-2022
Add your program files here I will accept it. Happy Coding!
pjswall/HacktoberFest_2022
If you're new to Git and GitHub or are looking to get started with open source development, this repository is for you! I want to help you learn about these technologies and participate in Hacktoberfest, so I've collected some resources to get you started.
pjswall/IIIT-H-Data-Analytics
IIIT Data Analytics coursework by incorporating real-world datasets, emphasizing data visualization with tools.
pjswall/interview
Interview questions
pjswall/IQA-PyTorch
PyTorch Toolbox for Image Quality Assessment, including LPIPS, FID, NIQE, NRQM(Ma), MUSIQ, NIMA, DBCNN, WaDIQaM, BRISQUE, PI and more...
pjswall/Leet-Code-Solutions-Approaches
These repository will include all the approaches for different solutions of leetcode problems.
pjswall/marl-jax
JAX library for MARL research
pjswall/NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
pjswall/pjswall
About Me!
pjswall/pjswall.github.io
pjswall/prateekj7777.github.io
pjswall/Predictive-Modeling-of-Location-Data
This repository contains data and code for prediction of location specific data.
pjswall/preprocessing-codes
pjswall/Running-Club-Tracker
A web app for Running club points tracker this app will look attractive and dynamic will contain so many things from adding memers to achievements and leader board for that. There will be having rules for the points and how a member will get point and how points will be increase. Add CSS file and java script file also in separate.
pjswall/SAM
Official Implementation for "Only a Matter of Style: Age Transformation Using a Style-Based Regression Model" (SIGGRAPH 2021) https://arxiv.org/abs/2102.02754
pjswall/tree-online
An online tree-like utility for generating ASCII folder structure diagrams. Written in TypeScript and React.
pjswall/U3FQ_Age_as_features
Age is just a feature: Introducing the U3FQ (Unified Tri-Feature Quality) Metric. We are using Age and face expressions as features to enhance quality assessment using a tri feature metric where matching score is main feature but age difference and expression similarity will be used for making it more robust for different face image.
pjswall/vipu18
My personal repository
pjswall/Weakly_supervised_FP_Quality
pjswall/Youtube-Video-Face-Extraction-using-python