我正在使用一个代码来获取图像文件的输入(可以是源文件夹中的任何数字)并处理它们然后保存文件。我使用while loop
来保存文件。但我面临的问题是,一旦循环处理完所有图像并保存它们,它就会重新开始。一旦处理并保存了源文件夹中的所有图像,我该如何打破循环?
我使用的代码是:
# 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
答案 0 :(得分:2)
for imagePath in imagePaths:
已遍历您的数据并处理所有内容。它没有理由嵌套在另一个循环中。删除该循环。
...
imagePaths.sort()
i = 1
for imagePath in imagePaths:
...
答案 1 :(得分:2)
INSERT ON DUPLICATE KEY UPDATE
在for循环结束时添加while True:
for ...:
// your code
// your code...
break // terminate while loop
,它将终止您当前的break
循环
在您的情况下,您根本不需要while True
。 for循环已经迭代了所有图像。