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
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
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)
KinectV2InQt
- 在QT5环境下，配置Kinect2，读取帧数据，并显示彩色图像、深度图像、红外图像(In the QT5 environment, configure Kinect2, read frame data, and display color images, depth images, infrared images)
DepthBasics-D2D
- 接上Kinect1.0 后运行该代码，可得到摄像头捕捉到的深度图像(Run the code after Kinect1.0, and get the depth image captured by the camera)
test_code
- 使用kinect SDK以及XBOX使用，kinect彩色深度图像解析源码(Kinect part of the code)
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)
WMOF
- 彩色图像引导的加权模式滤波器深度图像增强，提高深度图像质量(Color image guided weighted mode filter depth image enhancement for improved depth image quality)
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)
MyV2
- 可以实现labview与kinect连接，提取深度图像和彩色图像(The example can realize the connection of labview and kinect to extract depth images and color images.)