我試圖能夠從具有名稱(chēng)和圖像文件名的數(shù)據(jù)庫(kù)中提取數(shù)據(jù)，然后將其放入face_recognitionPython 程序中。但是，對(duì)于我使用的代碼，程序通過(guò)調(diào)用具有不同名稱(chēng)的變量來(lái)學(xué)習(xí)人臉。如何根據(jù)數(shù)據(jù)庫(kù)中的數(shù)據(jù)量創(chuàng)建變量？有什么更好的方法可以解決這個(gè)問(wèn)題？first_image = face_recognition.load_image_file("first.jpg")first_face_encoding = face_recognition.face_encodings(first_image)[0]second_image = face_recognition.load_image_file("second.jpg")biden_face_encoding = face_recognition.face_encodings(second_image)[0]
1 回答
汪汪一只貓
TA貢獻(xiàn)1898條經(jīng)驗(yàn) 獲得超8個(gè)贊
您可以使用數(shù)組而不是將每個(gè)圖像/編碼存儲(chǔ)在單個(gè)變量中，并從for循環(huán)中填充數(shù)組。
假設(shè)您可以將文件名從first.jpg, second.jpg...更改為1.jpg, 2.jpg... 您可以這樣做：
numberofimages = 10 # change this to the total number of images
images = [None] * (numberofimages+1) # create an array to store all the images
encodings = [None] * (numberofimages+1) # create an array to store all the encodings
for i in range(1, numberofimages+1):
filename = str(i) + ".jpg" # generate image file name (eg. 1.jpg, 2.jpg...)
# load the image and store it in the array
images[i] = face_recognition.load_image_file(filename)
# store the encoding
encodings[i] = face_recognition.face_encodings(images[i])[0]
然后您可以訪問(wèn)例如。第三張圖像和第三個(gè)編碼是這樣的：
image[3]
encoding[3]
如果無(wú)法更改圖像文件名，您可以將它們存儲(chǔ)在字典中并執(zhí)行以下操作：
numberofimages = 3 # change this to the total number of images
images = [None] * (numberofimages+1) # create an array to store all the images
encodings = [None] * (numberofimages+1) # create an array to store all the encodings
filenames = {
1: "first",
2: "second",
3: "third"
}
for i in range(1, numberofimages+1):
filename = filenames[i] + ".jpg" # generate file name (eg. first.jpg, second.jpg...)
print(filename)
# load the image and store it in the array
images[i] = face_recognition.load_image_file(filename)
# store the encoding
encodings[i] = face_recognition.face_encodings(images[i])[0]
添加回答
舉報(bào)
0/150
提交
取消