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๋ชฉ๋ก๐ฅ๏ธ Computer Vision (23)
Data Science LAB
1. Threshold cv2.threshold([์ด๋ฏธ์ง], ์๊ณ๊ฐ, ๋ฐํ๊ฐ, cv2.THRESH_BINARY) import cv2 img = cv2.imread('book.jpg',cv2.IMREAD_GRAYSCALE) ret, binary = cv2.threshold(img, 127, 255, cv2.THRESH_BINARY) # 127๋ณด๋ค ํฌ๋ฉด ํฐ์, ์์ผ๋ฉด ๊ฒ์ ๋ฐํ cv2.imshow('img',img) cv2.imshow('binary',binary) cv2.waitKey(0) cv2.destroyAllWindows() 127์ ๊ธฐ์ค์ผ๋ก 127๋ณด๋ค ํฐ ๊ฐ์ด๋ฉด ๋ฐํ๊ฐ์ธ ํฐ์, ์์ ๊ฐ์ด๋ฉด ๊ฒ์ ์์ ๋ฐํํจ 2. Trackbar cv2.nameWindow([Window name]) cv2.creat..
1. ์ฌ๋ค๋ฆฌ๊ผด ์ด๋ฏธ์ง ํผ์น๊ธฐ cv2.getPerspectiveTransform([input], [output]) cv2.warpPerspective([์ด๋ฏธ์ง], [matrix], [(width, height)]) import cv2 import numpy as np img = cv2.imread('img.jpg') width, height = 640,240 src = np.array([[511,352], [1008,345], [1122,584], [455,594]], dtype = np.float32) # input 4๊ฐ ์ง์ dat = np.array([[0,0], [width,0], [width,height], [0,height]], dtype=np.float32) # output 4๊ฐ ์ง์ # ์ข์..
1. ์ด๋ฏธ์ง๋ฅผ ํ๋ฐฑ์ผ๋ก ๋ณํ - ์ด๋ฏธ์ง๋ฅผ ํ๋ฐฑ์ผ๋ก ์ฝ์ด์ค๊ธฐ cv2.imread([์ด๋ฏธ์ง], cv2.IMREAD_GRAYSCLAE) import cv2 img = cv2.imread('img.jpg',cv2.IMREAD_GRAYSCALE) cv2.imshow('img',img) cv2.waitKey(0) cv2.destroyAllWindows() - ๋ถ๋ฌ์จ ์ด๋ฏธ์ง๋ฅผ ํ๋ฐฑ์ผ๋ก ๋ณ๊ฒฝ cv2.cvtColor([์ด๋ฏธ์ง], cv2.COLOR_BGR2GRAY) import cv2 img = cv2.imread('img.jpg') dst = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) cv2.imshow('img',img) cv2.imshow('gray',dst) cv2.waitKey(0) cv..
1. ์ด๋ฏธ์ง ๋์นญ 1. ์ข์ฐ ๋์นญ : cv2.flip([์ด๋ฏธ์ง], flipcode > 0) 2. ์ํ ๋์นญ : cv2.flip([์ด๋ฏธ์ง], flipcode == 0) 3. ์ํ์ข์ฐ ๋์นญ : cv2.flip([์ด๋ฏธ์ง], flipcode 0 : ์ข์ฐ ๋์นญ cv2.imshow('img',img) cv2.imshow('flip_horizontal',flip_horizontal) cv2.waitKey(0) cv2.destroyAllWindows() 2. ์ํ ๋์นญ img = cv2.imread('img.jpg') flip_vertica..
1. ์์ญ์ ์๋ผ์ ์๋ก์ด ์ด๋ฏธ์ง ์ฐฝ์ ํ์ image[์ธ๋ก์์ญ, ๊ฐ๋ก์์ญ] import cv2 img = cv2.imread('img.jpg') # img.shape (390,640,3) crop = img[100:200,200:400] #์ธ๋ก ๊ธฐ์ค 100:200, ๊ฐ๋ก๊ธฐ์ค 200:400 cv2.imshow('img',img) cv2.imshow('crop',crop) cv2.waitKey(0) cv2.destroyAllWindows() ํฌ๋กญ๋ ์์ญ์ด ์๋ก์ด ์๋์ฐ ์ฐฝ์ผ๋ก ํ์๋จ 2. ์์ญ์ ์๋ผ์ ๊ธฐ์กด ์๋์ฐ์ ํ์ import cv2 img = cv2.imread('img.jpg') # img.shape (390,640,3) crop = img[100:200,200:400] img[100:200, ..
1. ๊ณ ์ ํฌ๊ธฐ๋ก ์ค์ cv2.resize( [์ด๋ฏธ์ง], [(๊ฐ๋ก, ์ธ๋ก)]) import cv2 img = cv2.imread('img.jpg') dst = cv2.resize(img, (400,500)) # width, height ๊ณ ์ ํฌ๊ธฐ cv2.imshow('img',img) cv2.imshow('resize',dst) cv2.waitKey(0) cv2.destroyAllWindows() width, height ์์๋๋ก ์ํ๋ ํฌ๊ธฐ ์ค์ 2. ๋น์จ๋ก ์ค์ cv2.resize( [์ด๋ฏธ์ง], None, fx = ๋น์จ, fy = ๋น์จ) import cv2 img = cv2.imread('img.jpg') dst = cv2.resize(img, None, fx = 0.5, fy=0.5) # x,y ๋น..