Pinned Repositories
darkflow
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
docker_installer
Docker官方安装包，用来解决因国内网络无法安装使用Docker的问题
face_detector
BITMAIN SE5
Faster-RCNN-TensorFlow-Python3
Tensorflow Faster R-CNN for Windows/Linux and Python 3 (3.5/3.6/3.7)
Image-enhancement-based-on-genetic-algorithm
Image enhancement based on genetic algorithm
Image-restoration-based-on-Hopfield-associative-memory
Image restoration based on Hopfield associative memory
make-voc2007-database
Convert your own. jpg and. XML database into Voc2007 database format
My-datasets
tf-faster-rcnn-ghostnet
This is a demo about Faster R-CNN use GhostNet
tf-faster-rcnn-resnet
S0soo's Repositories
S0soo/Image-enhancement-based-on-genetic-algorithm
Image enhancement based on genetic algorithm
S0soo/tf-faster-rcnn-ghostnet
This is a demo about Faster R-CNN use GhostNet
S0soo/tf-faster-rcnn-resnet
S0soo/make-voc2007-database
Convert your own. jpg and. XML database into Voc2007 database format
S0soo/Image-restoration-based-on-Hopfield-associative-memory
Image restoration based on Hopfield associative memory
S0soo/My-datasets
S0soo/darkflow
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
S0soo/DeepNude-an-Image-to-Image-technology
DeepNude's algorithm and general image generation theory and practice research, including pix2pix, CycleGAN, UGATIT, DCGAN, SinGAN, ALAE, mGANprior, StarGAN-v2 and VAE models (TensorFlow2 implementation). DeepNude的算法以及通用生成对抗网络（GAN,Generative Adversarial Network）图像生成的理论与实践研究。
S0soo/docker_installer
Docker官方安装包，用来解决因国内网络无法安装使用Docker的问题
S0soo/face_detector
BITMAIN SE5
S0soo/Faster-RCNN-TensorFlow-Python3
Tensorflow Faster R-CNN for Windows/Linux and Python 3 (3.5/3.6/3.7)
S0soo/ghostnet
[CVPR2020] Surpassing MobileNetV3: "GhostNet: More Features from Cheap Operations"
S0soo/HomographyNet_Keras
Implementation of homographiynet with keras
S0soo/image-quality-assessment
Convolutional Neural Networks to predict the aesthetic and technical quality of images.
S0soo/insightface
State-of-the-art 2D and 3D Face Analysis Project
S0soo/legacy-imglib1
OBSOLETE; see https://github.com/imglib/imglib2
S0soo/lucid
A collection of infrastructure and tools for research in neural network interpretability.
S0soo/mmdetection
OpenMMLab Detection Toolbox and Benchmark
S0soo/neural-image-assessment
Implementation of NIMA: Neural Image Assessment in Keras
S0soo/One-Shot-Object-Detection
Implementation of One-Shot Object Detection with Co-Attention and Co-Excitation in Pytorch
S0soo/opencv-rust
Rust bindings for OpenCV 3 & 4
S0soo/Security_Monitoring
本系统是一个单机版的FFmpeg安防监控系统应用程序，用 C/C++语言编写，在 windows 环境下运行。模拟摄像头监控，实现实时画面解码显示、H264视频编码存储、视频实时播放和截图、H264视频转码导出MP4格式视频、图片的查看等功能。
S0soo/Siamese-Networks-for-One-Shot-Learning
Implementation of Siamese Neural Networks for One-shot Image Recognition
S0soo/signature-recognition
A tensorflow siamese network implementation. Illustrated using singature recognition/identification.
S0soo/tensorflow2_tutorials_chinese
tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials
S0soo/test-yolo
S0soo/tf-faster-rcnn-visualization
Visualization Faster-Rcnn
S0soo/VisualDL
Deep Learning Visualization Toolkit（『飞桨』深度学习可视化工具 ）
S0soo/WaDIQaM
Pytorch implementation of WaDIQaM in TIP2018, Bosse S. et al. (Deep neural networks for no-reference and full-reference image quality assessment)
S0soo/YOLOv3_TensorFlow2
基于TensorFlow2.x实现的YOLOv3，支持在自定义数据集上训练，支持保存为TFLite模型。A tensorflow2 implementation of YOLO_V3(Supports training on custom dataset and saving as tflite models.).