Prashant-Kesharwani
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PyTorch implementation of over 30 realtime semantic segmentations models, e.g. BiSeNetv1, BiSeNetv2, CGNet, ContextNet, DABNet, DDRNet, EDANet, ENet, ERFNet, ESPNet, ESPNetv2, FastSCNN, ICNet, LEDN…
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Demonstration of the winning model for Facebook OpenEDS semantic segmentation challenge, which achieves a highly accurate (95.3%) within a limited size (0.98 MB).
This is a winning model of OpenEDS Semantic Segmentation Challenge
AR/VR Eye Semantic Segmentation - Rank 5th/17 - OpenEDS 2019
Gaze Estimation using Deep Learning, a Tensorflow-based framework.
Learning and replicating famous deep learning models for computer vision tasks
Udacity Nanodegree and Course Downloader
real time face swap and one-click video deepfake with only a single image
The BlazeFace face detector model implemented in PyTorch
Free & Opensource Laravel CRM solution for SMEs and Enterprises for complete customer lifecycle management.
UVdesk Opensource Community Helpdesk Project built for all to make a Full Ticketing Support System along with many more other features.
This open-source mobile ecommerce app seamlessly transforms your Bagisto store into a powerful mobile platform, providing real-time synchronization of products and categories.
Free and open source laravel eCommerce platform
A deep learning based gaze estimation framework implemented with PyTorch
A high resolution face dataset for face editing purpose
State-of-the-art 2D and 3D Face Analysis Project
April fools' day videos explaining Levin's universal search
Combustion engine simulator that generates realistic audio.
OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.
👀 Eye Tracking library easily implementable to your projects
collect training and calibration data for gaze tracking
Iris tracking MediaPipe Video Tutorial Source code
A collection of solutions for all problem statements on the AlgoExpert Coding Interview platform.