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Joseph FanJoseph Fan
Joseph Fan
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Joseph Fan
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ch10: edit bitwaise_and in image overlap
1 parent 93d6b83 commit 9dcd7cf

11 files changed

Lines changed: 92 additions & 2 deletions

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ch07-把鼠标当画笔/鼠标左右键回调函数.py renamed to ch07-把鼠标当画笔/mouse_lr_callback.py

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‎ch07-把鼠标当画笔/putText.jpg‎

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‎ch10-图像上的算术运算/10.bitwise_and.py‎

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img1 = cv2.imread('../data/messi5.jpg')
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img2 = cv2.imread('../data/opencv_logo.png')
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img1_copy = img1.copy()
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# I want to put logo on top-left corner, So I create a ROI
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img2 = cv2.resize(img2, (300, 300))
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rows, cols, channels = img2.shape
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roi = img1[0:rows, 0:cols]
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# Now create a mask of logo and create its inverse mask also
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img2gray = cv2.cvtColor(img2, cv2.COLOR_BGR2GRAY)
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ret, mask = cv2.threshold(img2gray, 10, 255, cv2.THRESH_BINARY)
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ret, mask = cv2.threshold(img2gray, 220, 255, cv2.THRESH_BINARY_INV)
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mask_inv = cv2.bitwise_not(mask)
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cv2.imshow('mask', mask)
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cv2.imshow('mask_inv', mask_inv)
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# Now black-out the area of logo in ROI
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img1_bg = cv2.bitwise_and(roi, roi, mask=mask_inv) # opencv 3.0
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#TODO error
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# Take only region of logo from logo image.
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img2_fg = cv2.bitwise_and(img2, img2, mask=mask)
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cv2.imshow('img1_bg', img1_bg)
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cv2.imshow('img2_fg', img2_fg)
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# Put logo in ROI and modify the main image
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dst = cv2.add(img1_bg, img2_fg)
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img1[0:rows, 0:cols] = dst
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cv2.imshow('res', img1)
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# logo in ROI -> image
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cv2.imshow('img1_copy', img1_copy)
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roi_add = img1_copy[0:rows, 0:cols]
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# logo ROI overlap
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roi_add = cv2.addWeighted(roi_add, 0.5, img2, 0.5, 0)
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cv2.imshow('roi_add', roi_add)
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# take only region of add log from log image
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img2_fg_add = cv2.bitwise_and(roi_add, roi_add, mask=mask)
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dst_add = cv2.add(img1_bg, img2_fg_add)
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img1_copy[0:rows, 0:cols] = dst_add
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cv2.imshow('dst_add', img1_copy)
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cv2.waitKey(0)
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cv2.destroyAllWindows()
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‎opencv-demo/3D-Matplotlib.png‎

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‎opencv-demo/cr_irina.png‎

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‎opencv-demo/image_overlap.py‎

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import cv2
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import numpy as np
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import matplotlib.pyplot as plt
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# 500 x 250
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img1 = cv2.imread('3D-Matplotlib.png')
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img2 = cv2.imread('mainsvmimage.png')
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img3 = cv2.imread('mainlogo.png')
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add = img1+img2
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add_cv = cv2.add(img1, img2)
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# cv2.imshow('add',add)
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print(img1[102, 110, 1])
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print(img2[102, 110, 1])
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print(add[102, 110, 1])
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print(add_cv[102, 110, 1])
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# weighted = cv2.addWeighted(img1, 0.6, img2, 0.4, 0)
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# cv2.imshow('weighted', weighted)
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rows, cols, channels = img3.shape
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roi = img1[0:rows, 0:cols]
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img3gray = cv2.cvtColor(img3, cv2.COLOR_BGR2GRAY)
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ret, mask = cv2.threshold(img3gray, 220, 255, cv2.THRESH_BINARY_INV)
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mask_inv = cv2.bitwise_not(mask)
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img1_bg = cv2.bitwise_and(roi, roi, mask=mask_inv)
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img3_fg = cv2.bitwise_and(img3, img3, mask=mask)
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cv2.imshow('img3gray', img3gray)
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cv2.imshow('mask', mask)
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cv2.imshow('img1_bg', img1_bg)
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cv2.imshow('img3_fg', img3_fg)
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dst = cv2.add(img1_bg, img3_fg)
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cv2.imshow('dst', dst)
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img1[0:rows, 0:cols] = dst
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cv2.imshow('res', img1)
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cv2.waitKey(0)
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cv2.destroyAllWindows()

‎opencv-demo/mainlogo.png‎

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‎opencv-demo/mainsvmimage.png‎

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‎opencv-demo/output.avi‎

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‎opencv-demo/video_show.py‎

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import numpy as np
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import cv2
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cap = cv2.VideoCapture(1)
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fourcc = cv2.VideoWriter_fourcc(*'XVID')
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out = cv2.VideoWriter('output.avi',fourcc, 20.0, (640,480))
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while(True):
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ret, frame = cap.read()
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gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
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out.write(frame)
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cv2.imshow('frame',gray)
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if cv2.waitKey(1) & 0xFF == ord('q'):
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break
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cap.release()
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out.release()
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cv2.destroyAllWindows()

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