这里只给出读取、形状变化、图像转array、array转图像,以及保存图像的方法。 importnumpyasnp fromPILimportImage importmatplotlib.pyplotasplt %matplotlibinline # read image raw_image=Image.open("panda.jpg") # image resize image_resize=
M_shear = np.array([ [1, np.tan(theta), 0], [0, 1, 0] ], dtype=np.float32) img_sheared = cv2.warpAffine(img, M_shear, (400, 600)) cv2.imwrite('3_1.jpg', img_sheared) # 顺时针旋转,角度15° M_rotate = np.array([ [np.cos(theta), -np.sin(theta), 0], [np.sin(...
defreadImg(im_fn):im=cv2.imread(im_fn)ifim is None:print('{} cv2.imread failed'.format(im_fn))tmp=imageio.mimread(im_fn)iftmp is not None:imt=np.array(tmp)imt=imt[0]im=imt[:,:,0:3]returnim 代码语言:javascript 代码运行次数:0 运行 AI代码解释 help(imageio.mimread) 关于cv2....
array([[10,5],[20,30],[70,20],[50,10]], np.int32) # -1表示该纬度靠后面的纬度自动计算出来,实际上是4 pts = pts.reshape((-1,1,2,)) # print(pts) # 画多条线,False表不闭合,True表示闭合,闭合即多边形 cv2.polylines(img,[pts],True,(255,255,0),5) #写字,字体选择 font=cv2....
importrandomdefsp_noise(image,prob):'''添加椒盐噪声prob:噪声比例'''output=np.zeros(image.shape,np.uint8)thres=1-probforiinrange(image.shape[0]):forjinrange(image.shape[1]):rdn=random.random()ifrdn<prob:output[i][j]=0elifrdn>thres:output[i][j]=255else:output[i][j]=image[i][j...
pil to ndarray image_nd = np.array(image_pil) 3. Tensor tensor to ndarray 直接对tensor调用.numpy()函数即可,如果tensor位于cuda上,需要先运行.cpu() tensor to pil importtorchvision.transforms.functional as F F.to_pil_image(tensor) 需要注意tensor需要是[C, H, W]的格式,并且归一化到[0, 1]区...
(img, -1, kernel) kernel_x = np.array([[0, 0, 0],[-1, 1, -0],[0, 0, 0]]) img_x = cv2.filter2D(img, -1, kernel) # MAX-MIN滤波器 img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) kernel = np.ones((3,3)) img_max = cv2.dilate(img, kernel) img_min = cv2.erode(...
trans_cv2img =cv2.cvtColor(numpy.asarray(pilimg), cv2.COLOR_RGB2BGR) cv2.imshow("trans_cv2img", trans_cv2img) cv2.waitKey(0) # 方法2:可以不使用cv2.cvtColor,但是show出来的图像会发蓝,因为没有变换通道 trans_tocv2=numpy.array(pilimg) ...
from PIL import Image import numpy as np # PIL 转 cv2 img= Image.open("test.jpg") img = cv2.cvtColor(np.asarray(img), cv2.COLOR_RGB2BGR) print(type(img)) # cv2 转 PIL img = cv2.imread("test.jpg") img= Image.fromarray(cv2.cvtColor(img,cv2.COLOR_BGR2RGB)) ...
{src.cols}-j-1}&if\;\texttt{flipCode}<0\\.\end{array}.\right.\f].The example scenariosofusing thefunctionare the following:.*Vertical flippingoftheimage(flipCode==0)toswitchbetween.top-left and bottom-left image origin.This is a typical operation.invideo processing on Microsoft Windows\...