讀圖类腮，寫圖椅文，展示圖
import cv2
img = cv2.imread("heart.jpg") # 通道順序（B,G,R）
cv2.imshow("heart", img)
cv2.waitKey(0)
cv2.imwrite("output.jpg", img)
# 若為RGBA圖片
img = cv2.imread("test.jpg", -1) # 通道順序（B,G,R,A）
cv2.imwrite("output.png", img) # 需保存為png格式才能保留alpha通道
# 插曲：檢測文件夾是否存在，若不存在則新建一個
if not os.path.exists(outputpath):
os.makedirs(outputpath)
讀視頻缔御，并顯示
cap = cv2.VideoCapture("V03_1.avi")
while cap.isOpened():
ret, frame = cap.read()
cv2.imshow('image', frame)
if cv2.waitKey(33) == ord('q'): # q鍵退出
break
cap.release()
cv2.destroyAllWindows()
視頻切幀
"""將視頻讀入抬闷，然后每一幀存為一張圖片"""
inputpath = "./video/IMG_2760.MOV"
outputpath = "./videoframe/"
cap = cv2.VideoCapture(inputpath)
if not os.path.exists(outputpath):
os.makedirs(outputpath)
num = 1
while cap.isOpened():
ret, frame = cap.read()
if not ret:
break
filename = "frame" + str(num) + ".jpg"
cv2.imwrite(os.path.join(outputpath, filename), frame)
num += 1
cap.release()
BGR轉(zhuǎn)RGB
img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
畫線，畫框
red = (0, 0, 255)
greem = (0, 255, 0)
cv2.line(img, (20, 20), (100, 100), red) # 在img圖像的坐標(20, 20)和(100, 100)之間畫一條紅線
cv2.line(img, (20, 20), (100, 100), red刹淌， 4) # 最后一個參數(shù)設置線的粗細
cv2.rectangle(img, (10, 10), (60, 60), green) # 在以img圖像(10, 10)和(60, 60)為左上和右下畫矩形
截取圖片
roi = img[308:540, 38:216]
cv2.imwrite("object.jpg", roi)
分離色彩通道
BGRImg = cv2.imread(ImgPath)
B = BGRImg[:, :, 0]
G = BGRImg[:, :, 1]
R = BGRImg[:, :, 2]
# or
BGRImg = cv2.imread(ImgPath)
B, G, R = cv2.split(BGRImg)
# 注意,cv2.split的速度比直接索引要慢,但cv2.split返回的是拷貝,直接索引返回的是引用(改變B就會改變BGRImg)
畫多邊形
Pts = np.array([[38, 308], [216, 308], [216, 540], [38, 540]], np.int32)
Pts = Pts.reshape((-1, 1, 2))
cv2.polylines(img, [Pts], True, (0, 255, 255), 3)
圖片變換
Resize
object_img = cv2.resize(object_img, target_shape)
旋轉(zhuǎn)
1 使用warAffine函數(shù)饶氏，優(yōu)點是可選角度多讥耗，缺點是會被截取
(h, w) = object_img.shape[:2]
center = (w/2, h/2)
M = cv2.getRotationMatrix2D(center, 45, 1)
rotated = cv2.warpAffine(object_img, M, (w, h))
cv2.imshow("Rotated by 45 Degrees", rotated)
2 使用rotate函數(shù)有勾，優(yōu)點是圖片不會被截取，缺點是只能旋轉(zhuǎn)90°的倍數(shù)
rotated = cv2.rotate(img, 0) # 旋轉(zhuǎn)90°
rotated = cv2.rotate(img, 1) # 旋轉(zhuǎn)180°
rotated = cv2.rotate(img, 2) # 旋轉(zhuǎn)270°
仿射變換
rows, cols, ch = img.shape
pts1 = np.float32([[0, 0], [cols - 1, 0], [0, rows - 1]])
pts2 = np.float32([[cols * 0.2, rows * 0.1], [cols * 0.9, rows * 0.2], [cols * 0.1, rows * 0.9]])
M = cv2.getAffineTransform(pts1, pts2)
dst = cv2.warpAffine(img, M, (cols, rows))
opencv進行任意仿射變換的方法是先找三個點古程，分別給出這三個點進行變換前的坐標與變換后的坐標蔼卡。
然后是用cv2.getAffineTransform函數(shù)進行變換矩陣的計算
再使用cv2.warpAffine函數(shù)來進行仿射變換
