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chenloveheimei's Projects

chessboarddetect icon chessboarddetect

Hodgepodge of chessboard chessboard detection algorithms on images from actual matches.

cv_papers icon cv_papers

计算机视觉方面的分类、对象检测、图像分割、人脸检测、OCR等中文翻译

gfn icon gfn

Gated Fusion Network for Joint Image Deblurring and Super-Resolution(BMVC 2018 Oral)

gimp-lens-blur icon gimp-lens-blur

GIMP plugin that add the ability to perform a lens blur, also known as Bokeh blur

hub icon hub

A library for transfer learning by reusing parts of TensorFlow models.

mace icon mace

MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.

mobilenetv2_tf icon mobilenetv2_tf

Change some code from https://github.com/timctho/mobilenet-v2-tensorflow, so the model can load correctly from the pre-train model from https://github.com/tensorflow/models/tree/master/research/slim/nets/mobilenet.

ncnn icon ncnn

ncnn is a high-performance neural network inference framework optimized for the mobile platform

pytorch-playground icon pytorch-playground

Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)

sdm icon sdm

Supervised Descent Method Apply to Face Alignment, and Head Pose Estimation with Linear Regression. It is cross-platfrom, easily compile in windows, ubuntu, even in Android & iOS.

smplify-x icon smplify-x

Expressive Body Capture: 3D Hands, Face, and Body from a Single Image

srgan icon srgan

A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"

tensorflow icon tensorflow

An Open Source Machine Learning Framework for Everyone

tf-pose-estimation icon tf-pose-estimation

Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.

tnn icon tnn

TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.

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