将OpenCV图像对象转换为PIL图像对象: import cv2 from PIL import Image # 读取OpenCV图像对象 img_cv = cv2.imread('image.jpg') #将OpenCV图像对象转换为PIL图像对象 img_pil = Image.fromarray(cv2.cvtColor(img_cv, cv2.COLOR_BGR2RGB)) 将PIL图像对象转换为OpenCV图像对象: import cv2 from PIL import I...
cv2.imshow("OpenCV",img) image = Image.fromarray(cv2.cvtColor(img,cv2.COLOR_BGR2RGB)) image.show() cv2.waitKey() PIL.Image转换成OpenCV格式: import cv2 from PIL import Image import numpy image = Image.open("plane.jpg") image.show() img = cv2.cvtColor(numpy.asarray(image),cv2.COLOR_...
OpenCV转换成PIL.Image格式: importcv2fromPILimportImageimportnumpy img= cv2.imread("plane.jpg") cv2.imshow("OpenCV",img) image=Image.fromarray(cv2.cvtColor(img,cv2.COLOR_BGR2RGB)) image.show() cv2.waitKey() PIL.Image转换成OpenCV格式: importcv2fromPILimportImageimportnumpy image= Image.open("...
1 opencv to PIL.Image opencvImg=cv2.imread('1.jpg')PILimg=Image.fromarray(opencvImg.astype('uint8')[:,:,::-1],mode='RGB')PILimg.save('PILimg.jpg') 2 PIL.Image to opencv PILimg=Image.open('PILimg.jpg')img=np.asarray(PILimg)OpenCVimg=img[:,:,::-1]cv2.imwrite(' OpenCVimg....
image_close_img = Image.fromarray(cv2.morphologyEx(np.array(mask), cv2.MORPH_CLOSE, close_kernel)) #np.array(mask)输入图像;close_kernel全1的核;cv2.MORPH_CLOSE闭运算用于排除小型空洞。并转换为PIL格式图像 open_kernel = np.ones((open_kernal, open_kernal), dtype=np.uint8) ...
from PIL import Image img = Image.open('image_path') 1. 2. 数据格式:颜色通道RGB,通道HWC,范围[0,255],类型为 uint8 from torchvision.transforms import ToTensor tensor = ToTensor()(PIL_img) 1. 2. ToTensor()接收PIL格式的数据,或者是直接从PIL转来的np.ndarray格式数据,只要保证进来的数据取值范...
PIL.Image转换成OpenCV格式 1 2 3 4 5 6 7 8 9 10 importcv2 fromPILimportImage importnumpy image=Image.open("plane.jpg") image.show() img=cv2.cvtColor(numpy.asarray(image),cv2.COLOR_RGB2BGR) cv2.imshow("OpenCV",img) cv2.waitKey() ...
OpenCV 可以执行 PIL 包中的所有图像过滤器吗? 例子: 结果: gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) threshold_img = cv2.threshold(gray, 100, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU)[1] im_pil = cv2_to_pil(threshold_img) pytesseract.image_to_string(im_pil) Out[5]: 'TUM' ...
1. PIL 2. Skimage 3. OpenCV 二、代码实现 1. skimage与opencv相互转换 2. PIL与opencv的相互转换 一、需求及处理库的简介 CV图像处理很多时候,使用python的opencv、PIL、scikit-image库的时候,需要进行转换才能进行下一步处理,实现需求。 1. PIL
OpenCV转换成PIL.Image格式: import cv2 from PIL import Image import numpy img = cv2.imread("plane.jpg") cv2.imshow("OpenCV",img) image = Image.fromarray(cv2.cvtColor(img,cv2.COLOR_BGR2RGB)) image.show() cv2.waitKey() PIL.Image转换成OpenCV格式: import cv2 from PIL import Image import ...