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isp_bayer_composition

jermanenhancementfilter

Jerman's tubular (vessel) and spherical (blob) enhancement filters

joint-segment-level-and-pixel-wise-losses-for-deep-learning-based-retinal-vessel-segmentation

A new segment-level loss for accurate retinal vessel segmentation

kair

Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR

knowledge-distillation-papers

knowledge distillation papers

lbp-dbn-face-recognition

使用LBP特征提取算法提取人脸特征，DBN网络来实现人脸识别，测试数据库ORL数据库，识别率可达90%以上

learnopencv

Learn OpenCV : C++ and Python Examples

leetcode

我的LeetCode代码仓，近乎所有题目都会提供多种解法 ：)

libfacedetection

An open source library for face detection in images. The face detection speed can reach 1000FPS.

lihang_book_algorithm

致力于将李航博士《统计学习方法》一书中所有算法实现一遍

lime_processing

Low-light enhancement technology(C++)

lq-nets

LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks

machinelearning

Basic Machine Learning and Deep Learning

map

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

matlab-code

Diagnosis of Diabetic Retinopathy In retinal Fundus Images Using Segmentation (Hybrid Algorithm)

ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

mmdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

mobileface

A face recognition solution on mobile device.

mobilefacenet-mxnet

基于insightface训练mobilefacenet的相关步骤及ncnn转换流程

mobilefacenet-ncnn

implementation of ncnn's mobileFacenet

mobilefacenet_tensorflow

Tensorflow implementation for [MobileFaceNet]

model-compression

model compression based on pytorch (1、quantization: 16/8/4/2 bits(dorefa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、ternary/binary value(twn/bnn/xnor-net)；2、 pruning: normal、regular and group convolutional channel pruning；3、 group convolution structure；4、batch-normalization folding for quantization)

models

Models and examples built with TensorFlow

mtcnn-on-caffe-window

MTCNN Train project based on caffe-windows

mtcnn_tf

MTCNN implement by tensorflow. Easy to training and testing.

multi-illuminant-based-color-constancy

A retinal mechanism inspired color constancy model

mvision

机器人视觉 无人驾驶 视觉SLAM ORB LSD SVO DSO 深度学习目标检测yolov3 行为检测 opencv PCL 双目视觉

my-code

nbnet

NBNet: Noise Basis Learning for Image Denoising with Subspace Projection

nested-unet