xgmiao's repositories
caffe-yolo
YOLO (Real-Time Object Detection) in caffe
DenseNet
DenseNet implementation in Keras
DenseNet-Keras
DenseNet Implementation in Keras with ImageNet Pretrained Models
Densenet-Tensorflow
Simple Tensorflow implementation of "Densenet" using Cifar10, MNIST
DRBox
A deep learning based algorithm to detect rotated object, for example, objects in remote sensing images
erfnet_pytorch
Pytorch code for semantic segmentation using ERFNet
FCIS
Fully Convolutional Instance-aware Semantic Segmentation
FFMPEG-study
学习FFMPEG的一些代码示例
fisheye_calibration
鱼眼摄像头畸变校正代码。内含两个版本，分别基于opencv2和opencv3，支持图片矫正和USB摄像头实时畸变矫正。
keras_ocr
用keras实现OCR定位、识别
models
Models and examples built with TensorFlow
One-Hundred-Layers-Tiramisu
Keras Implementation of The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation by (Simon Jégou, Michal Drozdzal, David Vazquez, Adriana Romero, Yoshua Bengio)
Paper-Implementations
Use PyTorch to implement some classic frameworks
pytorch-dpn-pretrained
Dual Path Networks (DPN) supporting pretrained weights converted from original MXNet implementation
pytorch_image_classifier
Minimal But Practical Image Classifier Pipline Using Pytorch, Finetune on ResNet18, Got 99% Accuracy on Own Small Datasets.
pytorch_tiramisu
FC-DenseNet in PyTorch for Semantic Segmentation
realtime_video_stabilization
实时视频稳像 real time video stabilization using cpu and gpu
ResNetCAM-keras
Keras implementation of a ResNet-CAM model
ResNeXt
Implementation of a classification framework from the paper Aggregated Residual Transformations for Deep Neural Networks
Scene-Text-Understanding
OCR, Scene-Text-Understanding, Text Recognition
SENet-Tensorflow
Simple Tensorflow implementation of "Squeeze and Excitation Networks" using Cifar10 (ResNeXt, Inception-v4, Inception-resnet-v2)
stn.pytorch
pytorch version of spatial transformer networks
vehicle_counting
Vehicle Detection, Tracking and Counting by Blob Detection with OpenCV
ZBarWin64
Clone of the zbar library. Created to compile as x64 library under VS2013