OPENCV Archives - icodebroker

[PYTHON/OPENCV] 비디오 카메라 캡처 영상 색상 모드 변경하기

■ 비디오 카메라 캡처 영상의 색상 모드를 변경하는 방법을 보여준다. ▶ 예제 코드 (PY)


import cv2

videoCapture = cv2.VideoCapture(0)

while(videoCapture.isOpened()):
    _, frameNDArray = videoCapture.read()
    grayscaleFrameNDArray = cv2.cvtColor(frameNDArray, cv2.COLOR_BGR2GRAY)
    cv2.imshow("grayscale video", grayscaleFrameNDArray)
    cv2.imshow("original video", frameNDArray)
    if cv2.waitKey(1) & 0xFF == ord("q"):
        break

videoCapture.release()

cv2.destroyAllWindows()

import cv2

videoCapture = cv2.VideoCapture(0)

while(videoCapture.isOpened()):

_, frameNDArray = videoCapture.read()

grayscaleFrameNDArray = cv2.cvtColor(frameNDArray, cv2.COLOR_BGR2GRAY)

cv2.imshow("grayscale video", grayscaleFrameNDArray)

cv2.imshow("original video", frameNDArray)

if cv2.waitKey(1) & 0xFF == ord("q"):

break

videoCapture.release()

cv2.destroyAllWindows()

[PYTHON/OPENCV] 비디오 카메라 캡처 영상 저장하기

■ 비디오 카메라 캡처 영상을 저장하는 방법을 보여준다. ▶ 예제 코드 (PY)


import cv2

videoCapture = cv2.VideoCapture(0)

_, frameNDArray = videoCapture.read()

videoHeight, videoWidth = frameNDArray.shape[:2]

fourcc = cv2.VideoWriter_fourcc(*"DIVX")

videoWriter = cv2.VideoWriter("result.avi", fourcc, 25.0, (videoWidth, videoHeight))

while(videoCapture.isOpened()):
    _, frameNDArray = videoCapture.read()
    videoWriter.write(frameNDArray)
    cv2.imshow("video", frameNDArray)
    if cv2.waitKey(1) & 0xFF == ord("q"):
        break

videoCapture.release()

videoWriter.release()

cv2.destroyAllWindows()

import cv2

videoCapture = cv2.VideoCapture(0)

_, frameNDArray = videoCapture.read()

videoHeight, videoWidth = frameNDArray.shape[:2]

fourcc = cv2.VideoWriter_fourcc(*"DIVX")

videoWriter = cv2.VideoWriter("result.avi", fourcc, 25.0, (videoWidth, videoHeight))

while(videoCapture.isOpened()):

_, frameNDArray = videoCapture.read()

videoWriter.write(frameNDArray)

cv2.imshow("video", frameNDArray)

if cv2.waitKey(1) & 0xFF == ord("q"):

break

videoCapture.release()

videoWriter.release()

cv2.destroyAllWindows()

[PYTHON/OPENCV] VideoCapture 클래스 : 동영상 파일 재생하기

■ VideoCapture 클래스를 사용해 동영상 파일을 재생하는 방법을 보여준다. ▶ 예제 코드 (PY)


import cv2

videoCapture = cv2.VideoCapture("video.mp4")

while(videoCapture.isOpened()):
    result, frameNDArray = videoCapture.read()
    cv2.imshow("video", frameNDArray)
    if cv2.waitKey(1) & 0xFF == ord("q"):
        break

videoCapture.release()

cv2.destroyAllWindows()

import cv2

videoCapture = cv2.VideoCapture("video.mp4")

while(videoCapture.isOpened()):

result, frameNDArray = videoCapture.read()

cv2.imshow("video", frameNDArray)

if cv2.waitKey(1) & 0xFF == ord("q"):

break

videoCapture.release()

cv2.destroyAllWindows()

[PYTHON/OPENCV] VideoCapture 클래스 : set 함수를 사용해 동영상 파일 재생 위치 설정하기

■ VideoCapture 클래스의 set 함수를 사용해 동영상 파일 재생 위치를 설정하는 방법을 보여준다. ▶ 예제 코드 (PY)


import cv2

videoCapture = cv2.VideoCapture("video.mp4")

videoCapture.set(cv2.CAP_PROP_POS_FRAMES, 1800)

while(videoCapture.isOpened()):
    result, frameNDArray = videoCapture.read()
    cv2.imshow("video", frameNDArray)
    if cv2.waitKey(1) & 0xFF == ord("q"):
        break

videoCapture.release()

cv2.destroyAllWindows()

import cv2

videoCapture = cv2.VideoCapture("video.mp4")

videoCapture.set(cv2.CAP_PROP_POS_FRAMES, 1800)

while(videoCapture.isOpened()):

result, frameNDArray = videoCapture.read()

cv2.imshow("video", frameNDArray)

if cv2.waitKey(1) & 0xFF == ord("q"):

break

videoCapture.release()

cv2.destroyAllWindows()

[PYTHON/OPENCV] VideoCapture 클래스 : 비디오 카메라 캡처하기

■ VideoCapture 클래스를 사용해 비디오 카메라를 캡처하는 방법을 보여준다. ▶ 예제 코드 (PY)


import cv2

videoCapture = cv2.VideoCapture(0)

while(videoCapture.isOpened()):
    result, frameNDArray = videoCapture.read()
    cv2.imshow("video", frameNDArray)
    if cv2.waitKey(1) & 0xFF == ord("q"):
        break

videoCapture.release()

cv2.destroyAllWindows()

import cv2

videoCapture = cv2.VideoCapture(0)

while(videoCapture.isOpened()):

result, frameNDArray = videoCapture.read()

cv2.imshow("video", frameNDArray)

if cv2.waitKey(1) & 0xFF == ord("q"):

break

videoCapture.release()

cv2.destroyAllWindows()

[PYTHON/OPENCV] CascadeClassifier 클래스 : detectMultiScale 메소드를 사용해 Haar 직렬형 분류기 사용하기

■ CascadeClassifier 클래스의 detectMultiScale 메소드를 사용해 Haar 직렬형 분류기를 만드는 방법을 보여준다. ▶ 예제 코드 (PY)


import cv2

faceCascadeClassifier = cv2.CascadeClassifier("haarcascade_frontalface_default.xml")
eyeCascadeClassifier  = cv2.CascadeClassifier("haarcascade_eye.xml")

imageNDArray          = cv2.imread("source.jpg")
grayscaleImageNDArray = cv2.cvtColor(imageNDArray, cv2.COLOR_BGR2GRAY)

faceNDArray = faceCascadeClassifier.detectMultiScale(grayscaleImageNDArray, 1.3, 5)

for (faceX, faceY, faceWidth, faceHeight) in faceNDArray:
    left   = faceX
    top    = faceY
    right  = faceX + faceWidth
    bottom = faceY + faceHeight

    cv2.rectangle(imageNDArray, (left, top), (right, bottom), (255, 0, 0), 2)

    faceImageNDArray          = imageNDArray[top:bottom, left:right]
    faceGrayscaleImageNDArray = grayscaleImageNDArray[top:bottom, left:right]

    eyeNDArray = eyeCascadeClassifier.detectMultiScale(faceGrayscaleImageNDArray)

    for(eyeX, eyeY, eyeWidth, eyeHeight) in eyeNDArray:
        cv2.rectangle(faceImageNDArray, (eyeX, eyeY), (eyeX + eyeWidth, eyeY + eyeHeight), (0, 255, 0), 2)

cv2.imwrite("target.jpg", imageNDArray)

cv2.imshow("image", imageNDArray)

cv2.waitKey(0)

cv2.destroyAllWindows()

import cv2

faceCascadeClassifier = cv2.CascadeClassifier("haarcascade_frontalface_default.xml")

eyeCascadeClassifier = cv2.CascadeClassifier("haarcascade_eye.xml")

imageNDArray = cv2.imread("source.jpg")

grayscaleImageNDArray = cv2.cvtColor(imageNDArray, cv2.COLOR_BGR2GRAY)

faceNDArray = faceCascadeClassifier.detectMultiScale(grayscaleImageNDArray, 1.3, 5)

for (faceX, faceY, faceWidth, faceHeight) in faceNDArray:

left = faceX

top = faceY

right = faceX + faceWidth

bottom = faceY + faceHeight

cv2.rectangle(imageNDArray, (left, top), (right, bottom), (255, 0, 0), 2)

faceImageNDArray = imageNDArray[top:bottom, left:right]

faceGrayscaleImageNDArray = grayscaleImageNDArray[top:bottom, left:right]

eyeNDArray = eyeCascadeClassifier.detectMultiScale(faceGrayscaleImageNDArray)

for(eyeX, eyeY, eyeWidth, eyeHeight) in eyeNDArray:

cv2.rectangle(faceImageNDArray, (eyeX, eyeY), (eyeX + eyeWidth, eyeY + eyeHeight), (0, 255, 0), 2)

cv2.imwrite("target.jpg", imageNDArray)

cv2.imshow("image", imageNDArray)

cv2.waitKey(0)

cv2.destroyAllWindows()

data.zip

[PYTHON/OPENCV] matchTemplate 함수 : 템플리트 이미지 찾기

■ matchTemplate 함수를 사용해 템플리트 이미지를 찾는 방법을 보여준다. ▶ 예제 코드 (PY)


import cv2

imageNDArray = cv2.imread("source.jpg")

grayscaleImageNDArray = cv2.cvtColor(imageNDArray, cv2.COLOR_BGR2GRAY)

templateImageNDArray = cv2.imread("template.jpg")

grayscaleTemplateImageNDArray = cv2.cvtColor(templateImageNDArray, cv2.COLOR_BGR2GRAY)

imageWidth, imageHeight = grayscaleTemplateImageNDArray.shape[::-1]

outputNDArray = cv2.matchTemplate(grayscaleImageNDArray, grayscaleTemplateImageNDArray, cv2.TM_CCOEFF_NORMED)

minimumValue, maximumValue, minimumLocation, maximumLocation = cv2.minMaxLoc(outputNDArray)

leftTopLocation     = maximumLocation
rightBottomLocation = (leftTopLocation[0] + imageWidth, leftTopLocation[1] + imageHeight)

cv2.rectangle(imageNDArray, leftTopLocation, rightBottomLocation, 255, 2)

cv2.imshow("image", imageNDArray)

cv2.imwrite("target.jpg", imageNDArray)

cv2.waitKey(0)

cv2.destroyAllWindows()

import cv2

imageNDArray = cv2.imread("source.jpg")

grayscaleImageNDArray = cv2.cvtColor(imageNDArray, cv2.COLOR_BGR2GRAY)

templateImageNDArray = cv2.imread("template.jpg")

grayscaleTemplateImageNDArray = cv2.cvtColor(templateImageNDArray, cv2.COLOR_BGR2GRAY)

imageWidth, imageHeight = grayscaleTemplateImageNDArray.shape[::-1]

outputNDArray = cv2.matchTemplate(grayscaleImageNDArray, grayscaleTemplateImageNDArray, cv2.TM_CCOEFF_NORMED)

minimumValue, maximumValue, minimumLocation, maximumLocation = cv2.minMaxLoc(outputNDArray)

leftTopLocation = maximumLocation

rightBottomLocation = (leftTopLocation[0] + imageWidth, leftTopLocation[1] + imageHeight)

cv2.rectangle(imageNDArray, leftTopLocation, rightBottomLocation, 255, 2)

cv2.imshow("image", imageNDArray)

cv2.imwrite("target.jpg", imageNDArray)

cv2.waitKey(0)

cv2.destroyAllWindows()

source.jpg template.jpg

[PYTHON/OPENCV] findContours 함수 : 외곽선 검출하기

■ findContours 함수를 사용해 외곽선을 검출하는 방법을 보여준다. ▶ 예제 코드 (PY)


import cv2

imageNDArray = cv2.imread("source.jpg", cv2.IMREAD_COLOR)

grayscaleImageNDArray = cv2.cvtColor(imageNDArray, cv2.COLOR_RGB2GRAY)

ret, binary = cv2.threshold(grayscaleImageNDArray, 127, 255, cv2.THRESH_BINARY)

binary = cv2.bitwise_not(binary)

contourList, hierarchyNDArray = cv2.findContours(binary, cv2.RETR_CCOMP, cv2.CHAIN_APPROX_NONE)

for i in range(len(contourList)):
    cv2.drawContours(imageNDArray, [contourList[i]], 0, (255, 0, 0), 2)
    #cv2.putText(imageNDArray, str(i), tuple(contourList[i][0][0]), cv2.FONT_HERSHEY_COMPLEX, 0.8, (0, 255, 0), 1)
    #print(i, hierarchyNDArray[0][i])

cv2.imshow("src", imageNDArray)

cv2.waitKey(0)

cv2.destroyAllWindows()

import cv2

imageNDArray = cv2.imread("source.jpg", cv2.IMREAD_COLOR)

grayscaleImageNDArray = cv2.cvtColor(imageNDArray, cv2.COLOR_RGB2GRAY)

ret, binary = cv2.threshold(grayscaleImageNDArray, 127, 255, cv2.THRESH_BINARY)

binary = cv2.bitwise_not(binary)

contourList, hierarchyNDArray = cv2.findContours(binary, cv2.RETR_CCOMP, cv2.CHAIN_APPROX_NONE)

for i in range(len(contourList)):

cv2.drawContours(imageNDArray, [contourList[i]], 0, (255, 0, 0), 2)

#cv2.putText(imageNDArray, str(i), tuple(contourList[i][0][0]), cv2.FONT_HERSHEY_COMPLEX, 0.8, (0, 255, 0), 1)

#print(i, hierarchyNDArray[0][i])

cv2.imshow("src", imageNDArray)

cv2.waitKey(0)

cv2.destroyAllWindows()

[PYTHON/OPENCV] Canny 함수 : 캐니 에지 검출하기

■ Canny 함수를 사용해 캐니 에지를 검출하는 방법을 보여준다. ▶ 예제 코드 (PY)


import cv2

imageNDArray = cv2.imread("source.jpg")

grayscaleImageNDArray = cv2.cvtColor(imageNDArray, cv2.COLOR_BGR2GRAY)

cannyImageNDArray = cv2.Canny(grayscaleImageNDArray, 100, 200, 3)

cv2.imwrite("target.jpg", cannyImageNDArray)

cv2.imshow("canny edge image", cannyImageNDArray)

cv2.waitKey(0)

cv2.destroyAllWindows()

import cv2

imageNDArray = cv2.imread("source.jpg")

grayscaleImageNDArray = cv2.cvtColor(imageNDArray, cv2.COLOR_BGR2GRAY)

cannyImageNDArray = cv2.Canny(grayscaleImageNDArray, 100, 200, 3)

cv2.imwrite("target.jpg", cannyImageNDArray)

cv2.imshow("canny edge image", cannyImageNDArray)

cv2.waitKey(0)

cv2.destroyAllWindows()

[PYTHON/OPENCV] Sobel 함수 : 소벨 에지 검출하기

■ Sobel 함수를 사용해 소벨 에지를 검출하는 방법을 보여준다. ▶ 예제 코드 (PY)


import cv2

imageNDArray = cv2.imread("source.jpg")

grayscaleImageNDArray = cv2.cvtColor(imageNDArray, cv2.COLOR_BGR2GRAY)

xEdgeNDArray = cv2.Sobel(grayscaleImageNDArray, -1, 1, 0, ksize = 5)

cv2.imwrite("target1.jpg", xEdgeNDArray)

yEdgeNDArray = cv2.Sobel(grayscaleImageNDArray, -1, 0, 1, ksize = 5)

cv2.imwrite("target2.jpg", yEdgeNDArray)

cv2.imshow("x edge image", xEdgeNDArray)
cv2.imshow("y edge image", yEdgeNDArray)

cv2.waitKey(0)

cv2.destroyAllWindows()

import cv2

imageNDArray = cv2.imread("source.jpg")

grayscaleImageNDArray = cv2.cvtColor(imageNDArray, cv2.COLOR_BGR2GRAY)

xEdgeNDArray = cv2.Sobel(grayscaleImageNDArray, -1, 1, 0, ksize = 5)

cv2.imwrite("target1.jpg", xEdgeNDArray)

yEdgeNDArray = cv2.Sobel(grayscaleImageNDArray, -1, 0, 1, ksize = 5)

cv2.imwrite("target2.jpg", yEdgeNDArray)

cv2.imshow("x edge image", xEdgeNDArray)

cv2.imshow("y edge image", yEdgeNDArray)

cv2.waitKey(0)

cv2.destroyAllWindows()

source.jpg

[PYTHON/OPENCV] dilate 함수 : 이미지 팽창(dilation) 사용하기

■ dilate 함수를 사용해 이미지 팽창(dilation)을 만드는 방법을 보여준다. ▶ 예제 코드 (PY)


import cv2
import numpy as np

imageNDArray = cv2.imread("source.jpg")

kernelNDArray = np.ones((5, 5), np.uint8)

dilationImageNDArray = cv2.dilate(imageNDArray, kernelNDArray, iterations = 1)

cv2.imwrite("target.jpg", dilationImageNDArray)

cv2.imshow("dilation image", dilationImageNDArray)

cv2.waitKey(0)

cv2.destroyAllWindows()

import cv2

import numpy as np

imageNDArray = cv2.imread("source.jpg")

kernelNDArray = np.ones((5, 5), np.uint8)

dilationImageNDArray = cv2.dilate(imageNDArray, kernelNDArray, iterations = 1)

cv2.imwrite("target.jpg", dilationImageNDArray)

cv2.imshow("dilation image", dilationImageNDArray)

cv2.waitKey(0)

cv2.destroyAllWindows()

source.jpg

[PYTHON/OPENCV] erode 함수 : 이미지 침식(erosion) 사용하기

■ erode 함수를 사용해 이미지 침식(erosion)을 만드는 방법을 보여준다. ▶ 예제 코드 (PY)


import cv2
import numpy as np

imageNDArray = cv2.imread("source.jpg")

kernelNDArray = np.ones((5, 5), np.uint8)

erosionImageNDArray = cv2.erode(imageNDArray, kernelNDArray, iterations = 1)

cv2.imwrite("target.jpg", erosionImageNDArray)

cv2.imshow("erosion image", erosionImageNDArray)

cv2.waitKey(0)

cv2.destroyAllWindows()

import cv2

import numpy as np

imageNDArray = cv2.imread("source.jpg")

kernelNDArray = np.ones((5, 5), np.uint8)

erosionImageNDArray = cv2.erode(imageNDArray, kernelNDArray, iterations = 1)

cv2.imwrite("target.jpg", erosionImageNDArray)

cv2.imshow("erosion image", erosionImageNDArray)

cv2.waitKey(0)

cv2.destroyAllWindows()

source.jpg

[PYTHON/OPENCV] medianBlur 함수 : 중간값 블러 사용하기

■ medianBlur 함수를 사용해 중간값 블러를 만드는 방법을 보여준다. ▶ 예제 코드 (PY)


import cv2

imageNDArray = cv2.imread("source.jpg")

blurImageNDArray = cv2.medianBlur(imageNDArray, 5)

cv2.imwrite("target.jpg", blurImageNDArray)

cv2.imshow("median blue image", blurImageNDArray)

cv2.waitKey(0)

cv2.destroyAllWindows()

import cv2

imageNDArray = cv2.imread("source.jpg")

blurImageNDArray = cv2.medianBlur(imageNDArray, 5)

cv2.imwrite("target.jpg", blurImageNDArray)

cv2.imshow("median blue image", blurImageNDArray)

cv2.waitKey(0)

cv2.destroyAllWindows()

source.jpg

[PYTHON/OPENCV] GaussianBlur 함수 : 가우시안 블러 사용하기

■ GaussianBlur 함수를 사용해 가우시안 블러를 만드는 방법을 보여준다. ▶ 예제 코드 (PY)


import cv2

imageNDArray = cv2.imread("source.jpg")

blurImageNDArray = cv2.GaussianBlur(imageNDArray, (5, 5), 0)

cv2.imwrite("target.jpg", blurImageNDArray)

cv2.imshow("gaussian blur image", blurImageNDArray)

cv2.waitKey(0)

cv2.destroyAllWindows()

import cv2

imageNDArray = cv2.imread("source.jpg")

blurImageNDArray = cv2.GaussianBlur(imageNDArray, (5, 5), 0)

cv2.imwrite("target.jpg", blurImageNDArray)

cv2.imshow("gaussian blur image", blurImageNDArray)

cv2.waitKey(0)

cv2.destroyAllWindows()

source.jpg

[PYTHON/OPENCV] filter2D 함수 : 이미지 필터 처리하기

■ filter2D 함수를 사용해 이미지 필터를 처리하는 방법을 보여준다. ▶ 예제 코드 (PY)


import cv2
import numpy as np

imageNDArray = cv2.imread("source.jpg")

kernelNDArray = np.array([[1, 1, 1], [1, 1, 1], [1, 1, 1]])

filterImageNDArray = cv2.filter2D(imageNDArray, -1, kernelNDArray)

cv2.imwrite("target.jpg", filterImageNDArray)

cv2.imshow("filter image", filterImageNDArray)

cv2.waitKey(0)

cv2.destroyAllWindows()

import cv2

import numpy as np

imageNDArray = cv2.imread("source.jpg")

kernelNDArray = np.array([[1, 1, 1], [1, 1, 1], [1, 1, 1]])

filterImageNDArray = cv2.filter2D(imageNDArray, -1, kernelNDArray)

cv2.imwrite("target.jpg", filterImageNDArray)

cv2.imshow("filter image", filterImageNDArray)

cv2.waitKey(0)

cv2.destroyAllWindows()

source.jpg

[PYTHON/OPENCV] threshold 함수 : 이미지 임계값 처리하기

■ threshold 함수를 사용해 이미지 임계값을 처리하는 방법을 보여준다. ▶ 예제 코드 (PY)


import cv2

imageNDArray = cv2.imread("source.jpg")

grayscaleImageNDArray = cv2.cvtColor(imageNDArray, cv2.COLOR_BGR2GRAY)

thresholdTuple = cv2.threshold(grayscaleImageNDArray, 120, 255, cv2.THRESH_BINARY)

cv2.imwrite("target.jpg", thresholdTuple[1])

cv2.imshow("threshold image", thresholdTuple[1])

cv2.waitKey(0)

cv2.destroyAllWindows()

import cv2

imageNDArray = cv2.imread("source.jpg")

grayscaleImageNDArray = cv2.cvtColor(imageNDArray, cv2.COLOR_BGR2GRAY)

thresholdTuple = cv2.threshold(grayscaleImageNDArray, 120, 255, cv2.THRESH_BINARY)

cv2.imwrite("target.jpg", thresholdTuple[1])

cv2.imshow("threshold image", thresholdTuple[1])

cv2.waitKey(0)

cv2.destroyAllWindows()

source.jpg

[PYTHON/OPENCV] getRotationMatrix2D 함수 : 이미지 회전하기

■ getRotationMatrix2D 함수를 사용해 이미지를 회전하는 방법을 보여준다. ▶ 예제 코드 (PY)


import cv2
import numpy as np

imageNDArray = cv2.imread("source.jpg")

imageHeight, imageWidth = imageNDArray.shape[:2]

matrixNDArray = cv2.getRotationMatrix2D((imageWidth / 2, imageHeight / 2), 90, 1)

rotateImageNDArray = cv2.warpAffine(imageNDArray, matrixNDArray, (imageWidth, imageHeight))

cv2.imwrite("target.jpg", rotateImageNDArray)

cv2.imshow("rotate image", rotateImageNDArray)

cv2.waitKey(0)

cv2.destroyAllWindows()

import cv2

import numpy as np

imageNDArray = cv2.imread("source.jpg")

imageHeight, imageWidth = imageNDArray.shape[:2]

matrixNDArray = cv2.getRotationMatrix2D((imageWidth / 2, imageHeight / 2), 90, 1)

rotateImageNDArray = cv2.warpAffine(imageNDArray, matrixNDArray, (imageWidth, imageHeight))

cv2.imwrite("target.jpg", rotateImageNDArray)

cv2.imshow("rotate image", rotateImageNDArray)

cv2.waitKey(0)

cv2.destroyAllWindows()

source.jpg

[PYTHON/OPENCV] warpAffine 함수 : 이미지 이동하기

■ warpAffine 함수를 사용해 이미지를 이동하는 방법을 보여준다. ▶ 예제 코드 (PY)


import cv2
import numpy as np

imageNDArray = cv2.imread("source.jpg")

imageHeight, imageWidth = imageNDArray.shape[:2]

matrixNDArray = np.float32([[1, 0, 100], [0, 1, 100]])

translateImageNDArray = cv2.warpAffine(imageNDArray, matrixNDArray, (imageWidth, imageHeight))

cv2.imwrite("target.jpg", translateImageNDArray)

cv2.imshow("translation image", translateImageNDArray)

cv2.waitKey(0)

cv2.destroyAllWindows()

import cv2

import numpy as np

imageNDArray = cv2.imread("source.jpg")

imageHeight, imageWidth = imageNDArray.shape[:2]

matrixNDArray = np.float32([[1, 0, 100], [0, 1, 100]])

translateImageNDArray = cv2.warpAffine(imageNDArray, matrixNDArray, (imageWidth, imageHeight))

cv2.imwrite("target.jpg", translateImageNDArray)

cv2.imshow("translation image", translateImageNDArray)

cv2.waitKey(0)

cv2.destroyAllWindows()

source.jpg

[PYTHON/OPENCV] 이미지 자르기

■ 이미지를 자르는 방법을 보여준다. ▶ 예제 코드 (PY)


import cv2

imageNDArray = cv2.imread("d:\\source.jpg")

cropImageNDArray = imageNDArray[0:200, 150:350]

cv2.imwrite("d:\\target.jpg", cropImageNDArray)

cv2.imshow("crop image", cropImageNDArray)

cv2.waitKey(0)

cv2.destroyAllWindows()

import cv2

imageNDArray = cv2.imread("d:\\source.jpg")

cropImageNDArray = imageNDArray[0:200, 150:350]

cv2.imwrite("d:\\target.jpg", cropImageNDArray)

cv2.imshow("crop image", cropImageNDArray)

cv2.waitKey(0)

cv2.destroyAllWindows()

source.jpg

[PYTHON/OPENCV] resize 함수 : 이미지 크기 변경하기

■ resize 함수를 사용해 이미지 크기를 변경하는 방법을 보여준다. ▶ 예제 코드 (PY)


import cv2

imageNDArray = cv2.imread("d:\\source.jpg")

imageHeight, imageWidth = imageNDArray.shape[:2]

resizeHeight = int(0.5 * imageHeight)
resizeWidth  = int(0.5 * imageWidth )

resizeImageNDArray = cv2.resize(imageNDArray, (resizeHeight, resizeWidth), interpolation = cv2.INTER_CUBIC)

cv2.imwrite("d:\\target.jpg", resizeImageNDArray)

cv2.imshow("resize image", resizeImageNDArray)

cv2.waitKey(0)

cv2.destroyAllWindows()

import cv2

imageNDArray = cv2.imread("d:\\source.jpg")

imageHeight, imageWidth = imageNDArray.shape[:2]

resizeHeight = int(0.5 * imageHeight)

resizeWidth = int(0.5 * imageWidth )

resizeImageNDArray = cv2.resize(imageNDArray, (resizeHeight, resizeWidth), interpolation = cv2.INTER_CUBIC)

cv2.imwrite("d:\\target.jpg", resizeImageNDArray)

cv2.imshow("resize image", resizeImageNDArray)

cv2.waitKey(0)

cv2.destroyAllWindows()

source.jpg

[PYTHON/OPENCV] cvtColor 함수 : 색상 모드 변경하기

■ cvtColor 함수를 사용해 색상 모드를 변경하는 방법을 보여준다. ▶ 예제 코드 (PY)


import cv2

imageNDArray = cv2.imread("d:\\source.jpg")

grayscaleImageNDArray = cv2.cvtColor(imageNDArray, cv2.COLOR_BGR2GRAY)

cv2.imwrite("d:\\target.jpg", grayscaleImageNDArray)

cv2.imshow("grayscale image", grayscaleImageNDArray)

cv2.waitKey(0)

cv2.destroyAllWindows()

import cv2

imageNDArray = cv2.imread("d:\\source.jpg")

grayscaleImageNDArray = cv2.cvtColor(imageNDArray, cv2.COLOR_BGR2GRAY)

cv2.imwrite("d:\\target.jpg", grayscaleImageNDArray)

cv2.imshow("grayscale image", grayscaleImageNDArray)

cv2.waitKey(0)

cv2.destroyAllWindows()

source.jpg

[PYTHON/OPENCV] imwrite 함수 : 이미지 파일 저장하기

■ imwrite 함수를 사용해 이미지 파일을 저장하는 방법을 보여준다. ▶ 예제 코드 (PY)


import cv2

imageNDArray = cv2.imread("source.jpg")

cv2.imwrite("target.png", imageNDArray)

import cv2

imageNDArray = cv2.imread("source.jpg")

cv2.imwrite("target.png", imageNDArray)

[PYTHON/OPENCV] imread 함수 : 이미지 파일 로드하기

■ imread 함수를 사용해 이미지 파일을 로드하는 방법을 보여준다. ▶ main.py


import cv2

imageNDArray = cv2.imread("source.jpg", cv2.IMREAD_COLOR)

cv2.imshow("image", imageNDArray)

cv2.waitKey(0)

cv2.destroyAllWindows()

import cv2

imageNDArray = cv2.imread("source.jpg", cv2.IMREAD_COLOR)

cv2.imshow("image", imageNDArray)

cv2.waitKey(0)

cv2.destroyAllWindows()

▶ requirements.txt


numpy==1.23.1
opencv-python==4.6.0.66
pip==22.0.4
setuptools==58.1.0

numpy==1.23.1

opencv-python==4.6.0.66

pip==22.0.4

setuptools==58.1.0

source.jpg