ruguowoshiyu's repositories
3DOD_thesis
3D Object Detection for Autonomous Driving in PyTorch, trained on the KITTI dataset.
AdversarialNetsPapers
The classical paper list with code about generative adversarial nets
Business-information-picture-OCR-Model
本模型是基于Python3编写的工商信息图片识别文字模型。主要步骤包括去噪、分离水印、反色、二值化增强等,支持批量图片处理。
china_job_survey
stats of Chinese developers. 统计中国程序员的就业情况
Computer-Version
中山大学计算机视觉
CRNN_OCR_lite
CRNN for OCR with depthwise separable convolutions and a simple spatial transformer module [keras+tf]
Deep-RNN-Framework
Code for paper "Deep RNN Framework for Visual Sequential Applications".
DEye
Keep an Eye on Defects Inspection.
Efficient-Segmentation-Networks
Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)
flask-keras-cnn-image-retrieval
🚀CNN-based image retrieval built on Keras
gitignore
A collection of useful .gitignore templates
HFUT-VL-dataset
HFUT VCC Vehicle Logo Dataset
HyperFAS
静默活体检测 silent face anti-spoofing attack detection
iclr2017mcnet
Tensorflow implementation of the ICLR 2017 paper: Decomposing Motion and Content for Natural Video Sequence Prediction
kitti_object_vis
KITTI Object Visualization (Birdview, Volumetric LiDar point cloud )
mAP
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
MobileFaceNet_TF
Tensorflow implementation for MobileFaceNet
numpy-ml
Machine learning, in numpy
OCR_Survey
OCR调研-会议&数据集
off_parser
Parses OFF (Object File Format) 3D model files to a class container. Includes helper functions for downloading and parsing publicly available datasets.
Point-Cloud-Processing-example
点云库PCL从入门到精通 书中配套案例
SC-FEGAN
SC-FEGAN : Face Editing Generative Adversarial Network with User's Sketch and Color
SimpleHTR
Handwritten Text Recognition (HTR) system implemented with TensorFlow.
Tengine
Tengine is a lite, high performance, modular inference engine for embedded device
TensorFlow_Lite_RPi_64-bits
TensorFlow Lite running at 24 FPS on bare Raspberry Pi 4 with Ubuntu
Unsupervised-Domain-Specific-Deblurring
Implementation of "Unsupervised Domain-Specific Deblurring via Disentangled Representations"