# 1、PIL.Image转换成OpenCV格式: import cv2 from PIL import Image import numpy path = 'F:/File_Python/Resources/face_images/LZT01.jpg' img = Image.open(path).convert("RGB")#.convert("RGB")可不要,默认打开就是RGB 没有找到站点() #转opencv #img = cv2.cvtColor(numpy.asarray(image),cv2...
1、PIL.Image转换成opencv格式: importcv2fromPILimportImageimportnumpyasnp image = Image.open("car.jpg")# image.show()img = cv2.cvtColor(np.asarray(image),cv2.COLOR_RGB2BGR)# cv2.imshow("image",img)# cv2.waitKey() 2、opencv转换成PIL.Image格式: importcv2fromPILimportImageimportnumpyasnp ...
image=Image.open("plane.jpg") image.show() img=cv2.cvtColor(numpy.asarray(image),cv2.COLOR_RGB2BGR) cv2.imshow("OpenCV",img) cv2.waitKey() cv2.destroyAllWindows() 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. OpenCV转换成PIL.Image格式: importcv2 fromPILimportImage importnumpy img=cv2.imr...
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() 判断图像数据是否是OpenCV格式: isinstance(img, np.ndarray)...
''' PIL型 -> OpenCV型 ''' cv2_image = np.array(PIL_image, dtype=np.uint8) if cv2_image.ndim == 2: # 黑白 pass elif cv2_image.shape[2] == 3: # 彩色的3通道 cv2_image = cv2_image[:, :, ::-1] elif cv2_image.shape[2] == 4: # 包含透明的4通道 ...
PIL.Image转换成OpenCV格式 importcv2fromPILimportImageimportnumpyimage=Image.open("plane.jpg")image.show()img= cv2.cvtColor(numpy.asarray(image),cv2.COLOR_RGB2BGR)cv2.imshow("OpenCV",img)cv2.waitKey() OpenCV转换成PIL.Image格式 importcv2fromPILimportImageimportnumpyimg= cv2.imread("plane.jpg")...
1.PIL转ndarray from PIL import Image import numpy as np import cv2 img=Image.open(path) #PIL转ndarray img=np.array(img) img=img[:,:,(2,1,0))] #show cv2.imshow('img',img) cv2.waitKey(0) #write cv2.imwrite(path,img) 2.ndarray转PIL #ndarray转PIL img=Image.fromarray(cv2.cvtColor...
fromPILimportImage 读入图片 image=Image.open('1.jpg') 显示图片 image.show() 保存图片 image.save('1.jpg') 三 两者相互转换 在做转换的时候,最重要的一点是:opencv的图像格式是BGR的,而PIL的图像格式是RGB。 在编程的时候往往这些小细节是很容易被忽略,但却是很重要的地方。
I found the previous answer related to a more general conversion from RGB image here: Convert image from PIL to openCV format I would like to know the difference when an image has to be read as a grayscale format. images = [None, None] images[0] = Image.open('image1') images[1] ...
img = Image.open(im_file) # img is now PIL Image object 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. base64 to OpenCV Image import base64 import numpy as np import cv2 with open("test.jpg", "rb") as f: im_b64 = base64.b64encode(f.read()) ...