我正在使用facepplib库在python中编写用于面部比较的代码,功能face_comparing(app)需要图像url进行比较。我有一些要存储在本地磁盘上的图像。我不知道如何将本地目录转换为url。当我给出本地目录的路径时,提示“错误:无法从URL下载图像。图像URL错误或无效。”
from __future__ import print_function, unicode_literals
import json
from facepplib import FacePP, exceptions
face_detection=""
faceset_initialize=""
face_search=""
face_landmarks=""
dense_facial_landmarks=""
face_attributes=""
beauty_score_and_emotion_recognition=""
def face_comparing(app):
"""
Compare two faces and decide whether they are from the same person.
"""
print('[Face Comparing]')
img_url1 = 'http://192.168.100.15/moazzam.jpg'
img_url2 = 'https://media.wmagazine.com/photos/5a6a18f56c29fa0b4cf8e5a4/4:3/w_1536/tom-cruise-joins-instagram.jpg'
cmp_ = app.compare.get(image_url1=img_url1,
image_url2=img_url2)
print('image1', '=', cmp_.image1)
print('image2', '=', cmp_.image2)
print('thresholds', '=', json.dumps(cmp_.thresholds, indent=4))
print('confidence', '=', cmp_.confidence)
if __name__ == '__main__':
api_key ='xQLsTmMyqp1L2MIt7M3l0h-cQiy0Dwhl'
api_secret ='TyBSGw8NBEP9Tbhv_JbQM18mIlorY6-D'
try:
app_ = FacePP(api_key=api_key, api_secret=api_secret)
funcs = [
face_detection,
face_comparing,
faceset_initialize,
face_search,
face_landmarks,
dense_facial_landmarks,
face_attributes,
beauty_score_and_emotion_recognition
]
face_comparing(app_)
except exceptions.BaseFacePPError as e:
print('Error:', e)
答案 0 :(得分:0)
只需更改img_url1和img_url2的url路径,代码就可以正常运行。见下文。
static
输出:
from __future__ import print_function, unicode_literals
import json
from facepplib import FacePP, exceptions
face_detection=""
faceset_initialize=""
face_search=""
face_landmarks=""
dense_facial_landmarks=""
face_attributes=""
beauty_score_and_emotion_recognition=""
def face_comparing(app):
"""
Compare two faces and decide whether they are from the same person.
"""
print('[Face Comparing]')
img_url1 = 'https://urbanasian.com/wp-content/uploads/2017/11/Aamir-Khan.jpg'
img_url2 = 'https://i2.cinestaan.com/image-bank/1500-1500/126001-127000/126991.jpg'
cmp_ = app.compare.get(image_url1=img_url1,image_url2=img_url2)
print('image1', '=', cmp_.image1)
print('image2', '=', cmp_.image2)
print('thresholds', '=', json.dumps(cmp_.thresholds, indent=4))
print('confidence', '=', cmp_.confidence)
if __name__ == '__main__':
api_key ='xQLsTmMyqp1L2MIt7M3l0h-cQiy0Dwhl'
api_secret ='TyBSGw8NBEP9Tbhv_JbQM18mIlorY6-D'
try:
app_ = FacePP(api_key=api_key, api_secret=api_secret)
funcs = [
face_detection,
face_comparing,
faceset_initialize,
face_search,
face_landmarks,
dense_facial_landmarks,
face_attributes,
beauty_score_and_emotion_recognition
]
face_comparing(app_)
except exceptions.BaseFacePPError as e:
print('Error:', e)
答案 1 :(得分:0)
如果要比较本地驱动器映像,请尝试以https://postimages.org/的形式访问网站上本地驱动器映像的URL链接,并使用与本地驱动器映像的url链接相同的程序来获得结果。我使用了相同的工具,并且可以正常工作。将图片链接显示为https://prnt.sc/pi9duy,其中显示了本地驱动器图片的网址链接。