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deeplab V3和unet

于 2019-05-31 发布文件大小:6836KB

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下载积分: 1 下载次数: 7

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代码说明：

利用全卷积神经网络，实现图像的语义分割，基于tensorflow的keras可以直接运行(Using the full convolutional neural network to achieve semantic segmentation of images, keras based on tensorflow can be run directly)

文件列表：

Semantic-Segmentation-of-Remote-Sensing-Images-master, 0 , 2019-04-23
Semantic-Segmentation-of-Remote-Sensing-Images-master\README.md, 1173 , 2019-04-23
Semantic-Segmentation-of-Remote-Sensing-Images-master\img, 0 , 2019-04-23
Semantic-Segmentation-of-Remote-Sensing-Images-master\img\612022_x_0.png, 381128 , 2019-04-23
Semantic-Segmentation-of-Remote-Sensing-Images-master\img\612022_x_1.png, 239873 , 2019-04-23
Semantic-Segmentation-of-Remote-Sensing-Images-master\img\612022_x_2.png, 154734 , 2019-04-23
Semantic-Segmentation-of-Remote-Sensing-Images-master\img\612022_x_3.png, 28756 , 2019-04-23
Semantic-Segmentation-of-Remote-Sensing-Images-master\img\6120_2_2_10.png, 1085927 , 2019-04-23
Semantic-Segmentation-of-Remote-Sensing-Images-master\img\6120_2_2raw.jpg, 5127372 , 2019-04-23
Semantic-Segmentation-of-Remote-Sensing-Images-master\make_data.py, 7686 , 2019-04-23
Semantic-Segmentation-of-Remote-Sensing-Images-master\model.py, 20610 , 2019-04-23
Semantic-Segmentation-of-Remote-Sensing-Images-master\plot.py, 2859 , 2019-04-23
Semantic-Segmentation-of-Remote-Sensing-Images-master\train.py, 5064 , 2019-04-23

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2011-05-06 09:33:32下载

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2013-03-17 21:20:27下载

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BasicProcessing
能比较全面的图像处理系统。主要内容包括：位图基础、图像的显示、图像的几何变换、图像灰度变换、图像的平滑处理、图像锐化处理及边缘检测、图像分割及测量、图像的形态学处理、图像的变换域处理及应用、图像的合成、24位彩色图像的处理、JPEG图像的压缩编码(can more comprehensive image processing system. Main contents include : bitmap based, image display, image geometry transformation, gray transform, image smoothing, image sharpening and edge detection, image segmentation and measurement, image morphology, Image Transform and application processing, image synthesis, 24-bit color image processing, JPEG image compression coding)

2006-11-03 16:41:45下载

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用matlab实现的基于广义S变换的图像去噪分型处理方法，简单易读(Using matlab realize the generalized S transform-based image denoising typing treatment methods, a simple easy-to-read)

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通过两台相机拍摄的立体像对完成对目标的快速实时测量，用于构建道路交通等数据快速采集系统。(Through two three-dimensional camera for the completion of the goal as fast real-time measurement, used to build road traffic, such as rapid data acquisition system.)

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discrim_rf
斯坦福大学的姚邦鹏开发的一个图像分类算法，使用random forest实现了图像的精细区域描述，赢得了PASCAL VOC2011图像分类竞赛中的winner prize.经测试，程序完全可运行，且提供了MAC和Windows下的两种程序。(Image Classification: An Integration of Randomization and Discrimination in A Dense Feature Representation The goal of our method is to identify the discriminative fine-grained image region that distinguishes different classes. To achieve this goal we sample image regions from dense sampling space and use a random forest algorithm with discriminative classifier. Each node of the tree of random forest is trained and tested with fine-grained image patches combining the information from upstream nodes together. We implemented each node of the tree with a discriminative SVM classifier, which makes the node as a strong classifier. )

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