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opencv C
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原始仓库地址:https://github.com/opencv/opencv.git

浏览量:1213 下载量:943 项目类别: 图像分类
almost 2 years前更新
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A fast tool to do image augmentation by CUDA on GPU(especially elastic deform), can be helpful to research on Medical Image.

原始仓库地址:https://github.com/qsyao/cuda_spatial_deform.git

浏览量:1951 下载量:805 项目类别: 图像分类
almost 2 years前更新
Openface Lua
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**Openface**是关于给予深度神经网络的人脸识别开源库。

原始仓库地址:https://github.com/cmusatyalab/openface.git

浏览量:1876 下载量:219 项目类别: 人脸识别
over 1 year前更新
dindnf C
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原始仓库地址:https://github.com/weinformatics/dindnf.git

浏览量:1584 下载量:600 项目类别: 图像分类
over 1 year前更新

Blind Quality Assessment for Cartoon Images --- -- Abstract: Current blind image quality assessment (BIQA) algorithms are mainly designed for natural images. Unfortunately, cartoon and cartoon-like images are quite different from natural images. Hence, recent BIQA methods are not very robust to cartoon images. In this paper, we propose a specific BIQA algorithm designed for cartoon images, which consists of the following terms. First, a cartoon image is divided into edge areas and nonedge areas via a Tchebichef moment (TM)-based process. Second, a multiorder sharpness statistic term is used to measure the quality of the edges, and a sharpness statistic prior model of high-quality (HQ) cartoon images is built. Third, a local encoding statistic term is adopted to describe the textural complexity in the nonedge areas, and a texture statistic prior model is also established. Experimental results on cartoon image datasets demonstrate that the proposed method can accurately evaluate the visual quality of cartoon images and is more suitable for cartoon scenarios than some traditional BIQA algorithms. --- DEMO codes (matlab) -- DEMO video --

浏览量:1472 下载量:658 项目类别: 图像识别
over 1 year前更新
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本项目是世界上最简洁的人脸识别库,你可以使用Python和命令行工具提取、识别、操作人脸。 本项目的人脸识别是基于业内领先的C++开源库 dlib中的深度学习模型,用Labeled Faces in the Wild人脸数据集进行测试,有高达99.38%的准确率。但对小孩和亚洲人脸的识别准确率尚待提升。

原始仓库地址:https://github.com/ageitgey/face_recognition.git

浏览量:2179 下载量:876 项目类别: 人脸识别
over 1 year前更新
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这个存储库包含了论文“Deep Residual Learning for Image Recognition”中描述的原始模型(ResNet-50、ResNet-101和ResNet-152)。这些模型分别在ILSVRC和COCO 2015竞赛中使用,分别在ImageNet分类、ImageNet检测、ImageNet定位、COCO检测、COCO分割中获得第一名。

原始仓库地址:https://github.com/KaimingHe/deep-residual-networks.git

浏览量:1965 下载量:260 项目类别: 图像分类
over 1 year前更新
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本存储库包含使用**SphereFace**进行深度人脸识别的整个pipeline(包括所有预处理)。包括三个主要步骤:人脸检测、人脸对齐和人脸识别。 **SphereFace**是最近提出的一种人脸识别方法。它最初是在arXiv技术报告中描述的,然后发表在CVPR 2017年。最新的论文与更多的实验可以在arXiv或这里找到。为了便于人脸识别的研究,我们以本文描述的20层CNN架构(SphereFace-20)为例,对casa - webface进行训练,并对LFW进行测试。

原始仓库地址:https://github.com/wy1iu/sphereface.git

浏览量:2108 下载量:227 项目类别: 人脸识别
over 1 year前更新
SIXray Python
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浏览量:318 下载量:2 项目类别: 图像分类
over 1 year前更新

**awesome-semantic-segmentation**这个仓库收录了很多很棒的语义分割的开源项目。供大家参考。

原始仓库地址:https://github.com/mrgloom/awesome-semantic-segmentation.git

浏览量:1406 下载量:842 项目类别: 语义分割
over 1 year前更新

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