Question

我一直在线this tutorial创建一个反向图片搜索引擎，但是，我不想搜索图像索引，而只搜索图像URL的数组，我将会在JSON中检索（我将只搜索10个图像，这些图像都将密切相关）。我目前正在研究创建这个数组的最佳方法，但我不知道如何用一个简单的循环数组替换索引，比较搜索中使用的初始图像和阵列。本教程中的索引类如下：

# construct the argument parser and parse the arguments
ap = argparse.ArgumentParser()
ap.add_argument("-d", "--dataset", required=True,
                help="Path to the directory that contains the images to be indexed")
ap.add_argument("-i", "--index", required=True,
                help="Path to where the computed index will be stored")
args = vars(ap.parse_args())

# initialize the color descriptor
cd = ColorDescriptor((8, 12, 3))

# open the output index file for writing
output = open(args["index"], "w")

# use glob to grab the image paths and loop over them
for imagePath in glob.glob(args["dataset"] + "/*.png"):
    # extract the image ID (i.e. the unique filename) from the image
    # path and load the image itself
    imageID = imagePath[imagePath.rfind("/") + 1:]
    image = cv2.imread(imagePath)

    # describe the image
    features = cd.describe(image)

    # write the features to file
    features = [str(f) for f in features]
    output.write("%s,%s\n" % (imageID, ",".join(features)))

# close the index file
output.close()

我最终还将以JSON格式输出搜索结果，为系统添加GUI。谢谢。

P.S。我对python很新，我还不太熟悉一些概念在这种语言中的运作方式。

Answer 1

这看起来像

image_list = [
  "http://www.photo_location1.com/local_dir/photo_name1.png",
  "http://www.photo_location2.com/local_dir/photo_name2.png",
  ...
]

for imagePath in image_list:
    image = cv2.imread(imagePath)

...并继续，因为你已经在做。

如何用Python中的图像URL数组替换索引？

1 个答案: