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airnet-snl

AirNet-SNL is a Python package for computed tomography (CT) reconstruction. It implements a machine learning model to reconstruct 2D slices from 1D projections. It takes sparse data as input, including decimated angles or views.

awesome-pytorch-list-cnversion

Awesome-pytorch-list 翻译工作进行中......

bilateralfiltering

双边滤波实验

bmp_to_jpg

pictures type change

bsuv-net-inference

centerx

This repo is implemented based on detectron2 and centernet

cg_tikhonov

Make CG Tikhonov work for two material two energies decomposition tomography

cgraph

【A simple C++ DAG framework】 一个简单好用的、无三方依赖的、跨平台的、收录于awesome-cpp的、基于流图的并行计算框架。欢迎star & fork

cmake-demo

《CMake入门实战》源码

colorconverter

cset

CSET (Compressed Sensing Electron Tomography)-toolbox is a three-dimensional TV-based compressed sensing reconstruction toolbox that consists of algebraic iterative algorithms (SART and SIRT) with total variation (TV) based CS. In addition, it integrates a Fast Iterative Shrinkage-Thresholding Algorithm (FISTA) that is an acceleration method to speed up the algorithm convergence.

ct-image-reconstruction

Computed Tomography Image Reconstruction Project using MATLAB

ctreconstruction

Algorithms for ct reconstruction

cudasteps

基于《cuda编程-基础与实践》（樊哲勇 著）的cuda学习之路。

darknet

YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )

deecamp-10group-unsupervised-defect-segmentation

deeplearning_mnist_halcon

C#,DeepLearning,MNIST,Halcon,Classification

dfr

Project: Unsupervised Anomaly Segmentation via Deep Feature Reconstruction

efficient-gan-anomaly-detection

f-anogan

Code for reproducing f-AnoGAN training and anomaly scoring

imageprocessingopencv

Conversion between C++ OpenCV Mat and C# Bitmap

improving_unsupervised_defect_segmentation

jetson-inference

Guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

labelme2coco-keypoints

Tool to convert all labelme keypoints file to one single coco keypoints file

lane_detection_by_dip

运用数字图像处理的基本方法，如边缘提取、hough变换、空域滤波等，在 tuSimple Lane Dataset 上实现车道线检测（图像的输入输出调用OpenCV）

learning-qtcreator-source

学习QtCreator的源代码

linear_color_correction_matrix

Basic algorithm for color correction

msd_pytorch

A Pytorch implementation of the mixed-scale dense network described in https://doi.org/10.1073/pnas.1715832114

mvtec-anomaly-detection

This project proposes an end-to-end framework for semi-supervised Anomaly Detection and Segmentation in images based on Deep Learning.