imread

使用 from scipy.misc import imread, imresize, imsave 时出现报错，查找后发现新版本的Scipy不再包含imread，imresize，imsave，需要使用的话，就安装 scipy 1.0.0 版本， 比如： conda install --prefix= /home/xxx/PycharmProjects/project_01/env scipy=1.0.0 imread将用 imageio.imread 来取代，输入： conda install --prefix= /home/xxx/PycharmProjects/project_02/env imageio 安装imageio 同样imresize，imsave也被从scipy移除，分别使用 skimage.transform.resize 和 imageio.imwrite 来代替。 安装skimage (Scikit-image) conda install --prefix= /home/xxx/PycharmProjects/project_02/env scikit-image 来源： https://www.cnblogs.com/booturbo/p/11939187.html

最近在做cs231n的作业 发现第一行都运行不下去 报错 ImportError: cannot import name 'imread' from 'scipy.misc' (/home/orangestar/anaconda3/lib/python3.7/site-packages/scipy/misc/__init__.py) ] 网上搜了很多很多解决方法： 终于在评论区找到了： 解决方法： 进入 \cs231n\data_utils.py 将第七行： from scipy.misc import imread 修改为： from imageio import imread 报错的原因听说是 scipy把 imread 移除了 来源： https://www.cnblogs.com/orangestar/p/11407183.html

如题干所述，scipy 里面的 imread 读取图片会出错，代码如下： from scipy import misc misc.imread("picture/scipy子模块.png") 报错信息为： D:\ProgramData\Anaconda3\lib\site-packages\ipykernel_launcher.py:3: DeprecationWarning: `imread` is deprecated! `imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0. Use ``imageio.imread`` instead. This is separate from the ipykernel package so we can avoid doing imports until 解决方法： 阅读以上报错信息，发现需要调用 imageio.imread ，而 scipy 中没有 scipy.imageio 子模块。 查阅相关信息，了解到，imageio 是一个独立的模块。 代码修改如下： import imageio imageio.imread("picture/scipy子模块.png") 来源： https://www.cnblogs.com/xiangsui/p

06图片分析(1) 1数位图片 digital image Binary 黑白 Grayscale 灰度图 True color/RGB 0-255 2读取图片 imread('图片名') 读取图片 imshow('图片名') 显示图片 clear,close allI = imread('pout.tif');imshow(I); %I是一个matrix 矩阵 图片处理 就是处理矩阵matrix imageinfo('图片名') 获得图片的信息 imtool(‘图片名’) 获得图片的矩阵数值以及对其处理操作 imwrite(I,'pout2.png') 图片存储 参数2为存储的文件名，存储到默认文件夹 3.图片处理 改变图片的RGB数值大小,图片合成,调整明亮度,对比度 滤波器 利用两个 for loop 对矩阵进行数字处理 图片的四则运算 imadd 图片合成,由于数值相加，会变亮 I=imread('rice.png');J=imread('cameraman.tif'); K=imadd(I,J);subplot(1,3,1); imshow(I);subplot(1,3,2); imshow(K);subplot(1,3,3); imshow(J); imsubtract immultiply 图片变亮变暗 I=imread('rice.png');subplot(1,2

调试代码时遇到的坑： 　　用cv2.imread读取灰度图，发现获得的图片为3通道，经查证发现，cv2.imread()函数默认读取的是一副彩色图片，想要读取灰度图，则需要设置参数。 使用函数cv2.imread(filepath,flags)读入一副图片 filepath：要读入图片的完整路径 flags：读入图片的标志 cv2.IMREAD_COLOR：默认参数，读入一副彩色图片，忽略alpha通道 cv2.IMREAD_GRAYSCALE：读入灰度图片 cv2.IMREAD_UNCHANGED：顾名思义，读入完整图片，包括alpha通道 来源： https://www.cnblogs.com/come-on-baby/p/11386909.html

I want to read an image from a qrc using imread() of OpenCV in this way: Mat img = imread(":/TempIcons/logo.png"); but the final img size is [0x0]. I have also tried: Mat img = imread("qrc://TempIcons/logo.png"); but the size I get is the same. I don't want to load the image in a QImage to then transform it in a cv::Mat . Is there a way to do this in a easy way?. If it is, how can I do it?. Thank you As @TheDarkKnight pointed out, imread is not aware of Qt resources. You can however write your own loader , that uses QFile to retrieve the binary data from the resource, and uses imdecode (as

OpenCV学习笔记1 引入 图片的显示读取写入 import cv2 image = cv2.imread("timg.jpg") #第二个参数可以选择色彩，例如灰色：cv2.IMREAD_GRAYSCALE # 显示图片 cv2.imshow("timg1",image) # 等待键盘输入，否则一闪而过 cv2.waitKey() # cv2.imwrite("名字",image) cv2.destroyAllWindows()# 关闭所有窗口 使用opencv进行图片svd压缩： import cv2 ​ image = cv2.imread("timg.jpg") # 降低图片尺寸 image = cv2.resize(image,(264,264)) image = image[:,:,[2,1,0]] # 使用SVD分解 image_gray = cv2.cvtColor(image,cv2.COLOR_BGR2GRAY) import numpy as np k = int(image_gray.shape[1]/4) u1,s1,v1 = np.linalg.svd(image_gray) image1 = image_gray.dot(v1[:k,:].T) import matplotlib.pyplot as plt fig,sns = plt

I have encountered a problem with the function imread() in Matlab (2014) and OpenCV (3.0) on Windows 7 with jpg files. I don't have the same values by reading the same file jpg and the same pixel. Here are my 2 codes : (OpenCV code followed by the Matlab code) and the values I have (mode debug to see in OpenCV, keyboard in Matlab) #include <opencv2\opencv.hpp> #include <cstdio> using namespace cv; using namespace std; int main() { Mat img = imread("test.jpg"); uchar pb = img.at<Vec3b>(0, 0).val[0]; uchar pg = img.at<Vec3b>(0, 0).val[1]; uchar pr = img.at<Vec3b>(0, 0).val[2]; int d = img.depth(