Flip array in the up/down direction. Flip the entries in each column in the up/down direction. Rows are preserved, but appear in a different order than before. Equivalent tom[::-1,...]. Does not require the arra
FLIP_LEFT_RIGHT) #左右对换。 image.transpose(Image.FLIP_TOP_BOTTOM) #上下对换。 Filter from PIL import Image, ImageFilter im = Image.open('./images/new.png') # 高斯模糊 im.filter(ImageFilter.GaussianBlur) # 普通模糊 im.filter(ImageFilter.BLUR) # 边缘增强 im.filter(ImageFilter.EDGE_...
Flip array in the left/right direction. Flip the entries in each row in the left/right direction. Columns are preserved, but appear in a different order than before. See also flipud Flip array in the up/down direction. rot90 Rotate array counterclockwise. Notes Equivalent to m[:,::-1]. ...
python的图像处理模块 除了opencv专门用来进行图像处理,可以进行像素级、特征级、语义级、应用级的图像处理外,python中还有其他库用来进行简单的图像处理,比如图像的读入和保存、滤波、直方图均衡等简单的操作,下面对这些库进行详细的介绍。 目录 一、PIL库 一、安装命令 二、Image模块 三、format类 四、Mode类 五、co...
'recarray', 'recfromcsv', 'recfromtxt', 'reciprocal', 'record', 'remainder', 'repeat', 'require', 'reshape', 'resize', 'result_type', 'right_shift', 'rint', 'roll', 'rollaxis', 'roots', 'rot90', 'round', 'round_', 'row_stack', 's_', 'safe_eval', 'save', 'savetxt...
翻转图像flip_image=Image.open('img101.jpg')flip_image=flip_image.transpose(Image.FLIP_LEFT_RIGHT...
image.transpose(Image.TRANSPOSE)iforientation ==2ororientation ==3ororientation ==6ororientation ==7: image = image.transpose(Image.FLIP_TOP_BOTTOM)iforientation ==1ororientation ==2ororientation ==5ororientation ==6: image = image.transpose(Image.FLIP_LEFT_RIGHT)returnimage...
frame_mask = cv2.fillPoly(frame_mask, np.array([[[390, 480], [390, 0], [640, 0], [640, 480]]]), color=255) # 填充多边形的四个顶点 frame_mask = cv2.bitwise_and(frame_mask, mask) result_left = cv2.matchTemplate(frame_mask,img_leftcenter,5) ...
T = np.array([-18.0133, 1.0184, 0.9606]) # 平移关系向量 size = (640, 480) # 图像尺寸 # 进行立体更正 R1, R2, P1, P2, Q, validPixROI1, validPixROI2 = cv2.stereoRectify(left_camera_matrix, left_distortion, right_camera_matrix, right_distortion, size, R, ...
Python NumPy provides two specialized functions for2D arrays:flipud()(flip up/down) andfliplr()(flip left/right). import numpy as np # Create a 2D array arr_2d = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]]) # Flip up/down (reverse rows) ...