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FCRN-DepthPrediction-master

于 2019-03-22 发布

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下载积分: 1 下载次数: 3

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代码说明：

说明：使用tensorflow框架搭建神经网络，从单目图像中估计深度值(Using tensorflow framework to build a neural network to estimate depth from monocular images)

文件列表：

LICENSE, 1292 , 2017-11-03
README.md, 7066 , 2017-11-03
tensorflow, 0 , 2017-11-03
tensorflow\models, 0 , 2017-11-03
tensorflow\models\fcrn.py, 10910 , 2017-11-03
tensorflow\models\network.py, 15255 , 2017-11-03
tensorflow\models\__init__.py, 33 , 2017-11-03
tensorflow\predict.py, 1801 , 2017-11-03

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cstr
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2007-03-03 16:29:44下载

积分：1
R Graph Essentials
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2020-06-22 22:20:01下载

积分：1
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2021-03-10 14:19:26下载

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2020-04-13 22:26:18下载

积分：1
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2020-06-23 11:20:01下载

积分：1
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图像识别，包括人脸识别和虹膜识别，在数字图像中虹膜位置的有效定位是虹膜识别的关键问题。用一种基于主动轮廓线模型的方法定位虹膜的位置，先用灰度投影法检测出瞳孔内的一点作为瞳孔的伪圆心，该圆心只要能落在瞳孔内部即可。(Image recognition, including face recognition and iris recognition, iris position in the digital image of the iris recognition and effective positioning is the key issue. Using a model based on active contour method of positioning the iris position, the first gray projection method used to detect a point within the pupil as a pupil of the pseudo-center of a circle, the center of a circle can be as long as it falls within the pupil.)

2010-03-11 09:11:24下载

积分：1
tesseract_OCR识别实例工程(vs2015+win10)+tesseract 4.0（32位和64位编译库）
编译好的tesseract 4.0库 for VS2015 (含lib、dll和头文件)，另附一个tessreact 4.0进行图片识别的示例程序，并给出运行具体配置方法！

2020-04-09下载

积分：1
chonggou
图像重构实现干涉条纹缺陷图的缺陷检测，能很好的滤除条纹，得到缺陷(Interference fringe image reconstruction to achieve defect detection defect map can be a very good filter stripes)

2020-11-10 10:39:46下载

积分：1
image-enhancement
该代码为图像增强代码。用于光学或SAR图像增强。具有较好的效果。(The code for image enhancement Used for optical or SAR image enhancement has a good effect )

2015-03-28 21:12:52下载

积分：1
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说明：思想：把原始图的直方图变换为均匀分布的形式，这样就增加了灰度值的动态范围从而达到增强图像整体对比度的效果。其优点是能自动地增强整个图像的对比度。 1、对灰度图像进行直方图的均衡化处理，达到图像增强的目的。 2、利用平均滤波和中值滤波对图像进行平滑滤波。 3、利用拉普拉斯运算对图像进行锐化滤波。(Idea: transform the histogram of the original image into the form of uniform distribution, so as to increase the dynamic gray value Range to enhance the overall contrast of the image. Its advantage is that it can automatically enhance the contrast of the whole image. 1. The gray image is processed by histogram equalization to achieve the purpose of image enhancement. 2. Average filter and median filter are used to smooth the image. 3. Using Laplace operation to sharpen the image.)

2019-11-13 16:49:49下载

积分：1

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FCRN-DepthPrediction-master

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