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youngstu's Projects

slstudio icon slstudio

SLStudio -- Open Source Real Time Structured Light. A comprehensive software suite for capturing and reconstructing 3D scenes with a camera-projector pair.

speech2gesture icon speech2gesture

code for training the models from the paper "Learning Individual Styles of Conversational Gestures"

spin icon spin

Repository for the paper "Learning to Reconstruct 3D Human Pose and Shape via Model-fitting in the Loop"

squeezenet icon squeezenet

SqueezeNet: AlexNet-level accuracy with 50x fewer parameters

ssd.pytorch icon ssd.pytorch

A PyTorch Implementation of Single Shot MultiBox Detector

ssds.pytorch icon ssds.pytorch

Repository for Single Shot MultiBox Detector and its variants, implemented with pytorch, python3.

stargan icon stargan

StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation

synthtext icon synthtext

Code for generating synthetic text images as described in "Synthetic Data for Text Localisation in Natural Images", Ankush Gupta, Andrea Vedaldi, Andrew Zisserman, CVPR 2016.

tacotron2 icon tacotron2

Tacotron 2 - PyTorch implementation with faster-than-realtime inference

tensorcv icon tensorcv

It's a toolkit based on tensorflow for computer vision

tensorflow-image-detection icon tensorflow-image-detection

A generic image detection program that uses Google's Machine Learning library, Tensorflow and a pre-trained Deep Learning Convolutional Neural Network model called Inception.

text-detection-ctpn icon text-detection-ctpn

text detection mainly based on ctpn model in tensorflow, id card detect, connectionist text proposal network

tf-pose-estimation icon tf-pose-estimation

Openpose from CMU implemented using Tensorflow with Custom Architecture for fast inference.

trufflehog icon trufflehog

Searches through git repositories for high entropy strings and secrets, digging deep into commit history

ugatit-pytorch icon ugatit-pytorch

Official PyTorch implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation

vgg-depthwise-ssd icon vgg-depthwise-ssd

Adopting the VGG to improve the feature extraction, combined with depthwise structure makes the improved detection network not only has stronger than MobileNet feature extraction ability, greatly reduces the model at the same time, makes the detection speed compared with the SSD is faster.

vision icon vision

Datasets, Transforms and Models specific to Computer Vision

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