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pytorch-learning

pytorch-learning

Semantic-Segmentation-Suite

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

caffe-int8-convert-tools

This convert tools is base on TensorRT 2.0 Int8 calibration tools,which use the KL algorithm to find the suitable threshold to quantize the activions from Float32 to Int8(-128 - 127).

code-of-learn-deep-learning-with-pytorch

This is code of book "Learn Deep Learning with PyTorch"

FaceBoxes

FaceBoxes: A CPU Real-time Face Detector with High Accuracy

FPN

Feature Pyramid Networks for Object Detection

gluon-cv

Gluon CV Toolkit

kitti_scripts

Github hosting of the KITTI dataset semantic segmentation development kit. I did not create this, nor do I take any credit. Please refer to the website.

lf-net-release

Code Release for LF-Net: Learning Local Features from Images

LightNet

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

mobilefacenet-V2

🔥improve the accuracy of mobilefacenet(insight face) reached 99.733 in the cfp-ff、 the 99.68+ in lfw,96.71+ in agedb30.🔥

opencv

Open Source Computer Vision Library

opencv_extra

OpenCV extra data

pcn_pedestrian

part and context network for pedestrian detection

Pelee

Pelee: A Real-Time Object Detection System on Mobile Devices

pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

PSANet

PSANet: Point-wise Spatial Attention Network for Scene Parsing, ECCV2018.

pwc

Papers with code. Sorted by stars. Updated weekly.

pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation

pytorch-semseg

Semantic Segmentation Architectures Implemented in PyTorch

R2CNN

caffe re-implementation of R2CNN: Rotational Region CNN for Orientation Robust Scene Text Detection

Res18_SSD

SegNet-Tutorial

Files for a tutorial to train SegNet for road scenes using the CamVid dataset

SemanticSegmentation_DL

Resources of semantic segmantation based on Deep Learning model

SENet

Squeeze-and-Excitation Networks

ShuffleNet

This is a fast caffe implementation of ShuffleNet.

Shufflenet-v2-Pytorch

Perfect implement. Model shared. x0.5 (Top1:60.646) and 1.0x (Top1:69.402).

ShuffleNet_V2_pytorch_caffe

ShuffleNet-V2 for both PyTorch and Caffe.

SqueezeNet

SqueezeNet: AlexNet-level accuracy with 50x fewer parameters

WeakSupervisedSegmentationList

This repository contains lists of state-or-art weakly supervised semantic segmentation works