zfxu Goto Github PK

bayesian-methods-for-ml

Materials for "Bayesian Methods for Machine Learning" Coursera MOOC

bbox-label-tool

A simple tool for labeling object bounding boxes in images

benchmark_results

Visual Tracking Paper List

bgnet

Xuyuhua works

blog

blur_sharpness_assessment

tensorflow implementation for scoring blur image sharpness

book-paper-note

books papers notes

book3_fundamentals-of-mathematics

《矩阵力量》在https://github.com/Visualize-ML/Book4_Power-of-Matrix

books

Collection of Programming, Databases, Linux & Tools Books

building-dl-apps-with-keras-2

Building deep learning applications with keras 2.0

bvstoolbox

This site is a placeholder of the additional tools for the Balluff Machine Vision products. All scripts are made in Halcon Develop software from MvTec company.

bylabel

This is a tool for image and video annotation.

cad_tracker

CAD三维物体的识别与跟踪，（识别部分）大模块分为三个部分：1.图像的梯度计算，2图像的相似度计算，3取最大的得分位置。main函数中使用到了opencv的相关代码，如果需要使用该代码。需要进行相关的opencv环境配置

caffe

Caffe: a fast open framework for deep learning.

caffe-fast-rcnn

Caffe fork that supports Fast R-CNN

caffe-segnet

Implementation of SegNet: A Deep Convolutional Encoder-Decoder Architecture for Semantic Pixel-Wise Labelling

caffe-tensorflow

Caffe models in TensorFlow

caffe_ocr

主流ocr算法研究实验性的项目，目前实现了CNN+BLSTM+CTC架构

calibration-and-measurement

calibrationwizard

[ICCV'19] Calibration Wizard: A Guidance System for Camera Calibration Based on Modelling Geometric and Corner Uncertainty

cama_summer_school_2017

杭电 MIL 机器学习暑期研讨班

camera-calibration-and-image-undistortion

Based on 13 images given, compute the parameters and undistort them using OpenCV

camera_pose_calibration

camera_sim

cameraautofocus

本项目提供37种不同的图像卷积算子，用来评估图像的锐度、清晰度，并给出了比较不同算子和算法的方法，该方法可高效、准确的找到合适的图像清晰度评估算法，来适用于不同应用、不同类型和内容的图片，并根据最佳清晰度确定相机镜头的调焦角度。 This project provides a fast tool as well as the source code to find the best metric to adjust the camera focus that can be used in your camera based application. Not only does it decribe the advantages of each method and their comparison in evaluation the lens of your products' camera hardware, but also the sample results, validation patterns, images of the patterns under continous changing lens rotation angles are provided and visualized. The evaluation contains characterization of the lenses with respect to Focus Of View, image quality, and deformations caused due to misaligned lenses or lens characteristics. Meanwhile, different camera autofocus algorithms are compared and assessed for the suitability of the specific patterns and purposes.

capsnet-fashion-mnist

Capsule Network on Fashion MNIST dataset

capsnet-keras

A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error ＝ 0.34%.

capsnet-tensorflow

A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules

car-damage-detective

Assessing car damage with convolution neural networks for a personal auto claims expedition use case

carnd3-p2-fcn-semantic-segmentation

Using Fully Convolutional Networks for semantic segmentation of driving scenes