[英]Python: Break while loop
我使用的代碼需要輸入圖像文件(在源文件夾中可以是任何數字)並處理它們,然后保存文件。 我正在使用while loop
來保存文件。 但是我面臨的問題是,一旦循環處理完所有圖像並保存它們,它就會重新開始。 處理並保存源文件夾中的所有圖像后,如何中斷循環?
我使用的代碼是:
# construct the argument parse and parse the arguments
ap = argparse.ArgumentParser()
ap.add_argument("-i", "--images", required=True, help="path to images directory")
args = vars(ap.parse_args())
# initialize the HOG descriptor/person detector
hog = cv2.HOGDescriptor()
hog.setSVMDetector(cv2.HOGDescriptor_getDefaultPeopleDetector())
# loop over the image paths
imagePaths = list(paths.list_images(args["images"]))
#open images in a sequence
imagePaths.sort()
i =1
while True:
for imagePath in imagePaths:
# load the image and resize it to (1) reduce detection time
# and (2) improve detection accuracy
image = cv2.imread(imagePath)
image = imutils.resize(image, width=min(700, image.shape[1]))
orig = image.copy()
# detect people in the image
(rects, weights) = hog.detectMultiScale(image, winStride=(4, 4),
padding=(8, 8), scale=1.05)
# draw the original bounding boxes
for (x, y, w, h) in rects:
cv2.rectangle(orig, (x, y), (x + w, y + h), (0, 0, 255), 2)
# apply non-maxima suppression to the bounding boxes using a
# fairly large overlap threshold to try to maintain overlapping
# boxes that are still people
rects = np.array([[x, y, x + w, y + h] for (x, y, w, h) in rects])
pick = non_max_suppression(rects, probs=None, overlapThresh=0.65)
# draw the final bounding boxes
for (xA, yA, xB, yB) in pick:
cv2.rectangle(image, (xA, yA), (xB, yB), (0, 255, 0), 2)
# show some information on the number of bounding boxes
filename = imagePath[imagePath.rfind("/") + 1:]
print("[INFO] {}: {} original boxes, {} after suppression".format(
filename, len(rects), len(pick)))
cv2.imwrite('%d.png' % (i),image)
i +=1
for imagePath in imagePaths:
已經遍歷數據並處理了所有內容。 沒有理由將其嵌套在另一個循環中。 刪除該循環。
...
imagePaths.sort()
i = 1
for imagePath in imagePaths:
...
while True:
for ...:
// your code
// your code...
break // terminate while loop
在for循環的末尾添加break
,它將while True
循環時終止當前
在這種情況下,您根本不需要while True
。 for循環已經迭代了所有圖像。
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