搜索资源列表
Pixel-translation
- 两幅图像实现像素的平移 一幅深度图和一幅原图-Two images to achieve the pixel shift A depth map and a map
BooleanDepth
- 用于进行前后遮掩的布尔运算的深度测试，可实现三维立体图像的前后布尔遮掩效果。-Boolean operations used for pre-and post-veiled depth testing, can achieve a three-dimensional image of the former Hou Buer cover effect.
ngwavelet
- 基于matlab的小波图像降噪，亲测调试成功，但需使用8位深度图片方能完美-Based on the matlab wavelet image noise reduction, pro-test debugging success, but need to use 8-bit depth images can only perfect
FirstKinectApp
- 这个程序能够打开Kinect的摄像头并且输出深度和RGB图像，这个程序需要一台Kinect以及相应的驱动的支持-This program can open the Kinect camera and the output depth and RGB images, this program requires a Kinect and the corresponding driver support
XtionPersonTra
- 基于华硕体感器xtion、openni1x和nite的人体关节识别，深度图像显示、录制和保存的程序，使用opencv-Based on ASUS body sensor xtion, openni1x and nite of human joint recognition, depth image display, record and save the program, using opencv
dbnX
- 深度学习代码，DBN实现，可以运用在图像上-Depth learning code, DBN implementation, can be used in the image
StereoRegion
- 基于区域的立体匹配算法 本算法从两幅彩色立体图像对中提取深度信息，使用过滤器消除视差图深度估计中的不稳定性。-Region Based Stereo Matching Algorithms region based stereo matching algorithms are developed for extraction depth information two color stereo image pair. A filter eliminating unreliable dispar
shendutuxiangshengcheng
- 通过执行程序，可以实现立体球的深度图像。(The depth image of the stereoscopic sphere can be achieved by executing the program.)
DeepLearnToolbox-master
- 可以进行深度学习，卷积神经网络的一种开源代码，可以对图像数据库自动提取特征(You can do deep learning)
Tensorflow 实战Google深度学习框架
- 介绍了深度学习的起源，发展，用于文字和图像的实践。(This paper introduces the origin and development of deep learning and its application in text and image.)
v3qianyi
- 利用Google inception V3 实现迁移学习 进行图像分类(Using Google, inception, V3 to achieve migration learning, image classification)
train_1
- 用U-net进行脑部图像多类分割，用keras框架进行实现(U-net brain segmentation keras tensorflow background)
monodepth-master
- 实现双目图像深度估计，效果还不错哦，大家可以下载试试(Realize the depth estimation of binocular image, the effect is not bad, you can download to try.)
深度图像
- 三维点云数据创建深度图像以及从深度图像提取边界(point cloud range image code)
matconvnet-manual
- 图像深度学习英文资料；卷积神经网络的MATLAB(Image depth learning English materials;Convolutional Neural Networks for MATLAB)
demo联合雨检测和去除_JORDER_release
- 用深度学习做单幅图像去雨 有效的解决了去雨后雨纹残留 去雨背景模糊(through using deep learning to do single image rain removal.)
Deep learning_CNN DBN RBM
- 运用深度学习模型实现图像的分类，主要包括卷积神经网络CNN和深信度网络DBN(Classification of images using deep learning model includes convolutional neural network CNN and belief network DBN.)
fenlei
- 利用深度学习进行遥感图像场景分类 这里我们对NWPU-RESISC45数据集的场景图像进行分类 我们将卷积神经网络应用于图像分类。我们从头开始训练数据集。此外，还应用了预先训练的VGG16 abd ResNet50进行迁移学习。(Scene Classification of Remote Sensing Images Using Deep Learning Here we classify scene images from NWPU-RESISC45 dataset We apply
1d_RCWA
- 可以画出一维无损耗光栅的衍射效率与光栅深度的图像(The image of diffraction efficiency and grating depth of one-dimensional lossless grating can be drawn.)
tamper
- 用深度学习卷积网络CNN,实现图像复制粘贴和图像拼接篡改的定位(Using deep learning convolution network CNN to locate image copy-move and image splicing tampering)