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Xu, Colan's Projects

3dmm_cnn icon 3dmm_cnn

Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural Network

apitrace icon apitrace

Tools for tracing OpenGL, Direct3D, and other graphics APIs

deep_ocr icon deep_ocr

make a better chinese character recognition OCR than tesseract

detectron2 icon detectron2

Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

graphics-driver-samples icon graphics-driver-samples

This repository contains graphics driver samples used to demonstrate how to write graphics driver for the windows platform.

hosts icon hosts

镜像:https://coding.net/u/scaffrey/p/hosts/git

joint-bilateral-learning icon joint-bilateral-learning

An unofficial implementation of Joint Bilateral Learning for Real-time Universal hotorealistic Style Transfer

labelme2coco icon labelme2coco

Make your own dataset for object detection and transform the format to coco json format

mobile_data icon mobile_data

small python scripts about Face Recognition Testing。人脸识别测试python小脚本。

ncrfpp icon ncrfpp

NCRF++, an Open-source Neural Sequence Labeling Toolkit. It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components. (code for COLING/ACL 2018 paper)

opensitup icon opensitup

OpenSitUp是一个基于姿态估计的开源项目,旨在帮助对姿态估计感兴趣的朋友,能够从零开始搭建一个在android手机上运行的仰卧起坐计数APP。主要的技术难点为如何让计算量较大的人体姿态估计网络流畅的运行在手机端,并且实现仰卧起坐的计数功能。掌握了这个项目的原理之后,可以很方便的迁移到类似的运动,健身APP当中。

panet icon panet

PANet for Instance Segmentation and Object Detection

pytorch_adain icon pytorch_adain

Pytorch implementation from scratch of [Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization [Huang+, ICCV2017]]

ssd.pytorch icon ssd.pytorch

A PyTorch Implementation of Single Shot MultiBox Detector

timberx icon timberx

Material theme music player that works across all form factors (phones, wear, auto, cast, assistant) and uses latest tools (Kotlin, Architecture components, Room, Databinding)

unet icon unet

unet for image segmentation

vqa-counting icon vqa-counting

[ICLR 2018] Learning to Count Objects in Natural Images for Visual Question Answering

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