kangda-robot-backend/ruoyi-fastapi-backend/005测试compreface人脸识别服务.py

56 lines
1.8 KiB
Python

import requests
from compreface import CompreFace
from compreface.service import RecognitionService, DetectionService
from compreface.collections import FaceCollection
from compreface.collections.face_collections import Subjects
import time
DOMAIN: str = 'http://localhost'
PORT: str = '8000'
def face_recognition_stream(image_path, url):
with open(image_path, 'rb') as f:
response = requests.post(url, data=f.read())
return response.json()
def face_recognition_file(image_path, url):
files = {"file": ("test.jpg", open(image_path, "rb"), "image/jpeg")}
response = requests.post(url, files=files)
return response.json()
def face_recognition_compreface(image_path):
API_KEY: str = 'a5924457-62c9-47dc-a6e7-15462c502d2c'
compre_face: CompreFace = CompreFace(DOMAIN, PORT)
recognition: RecognitionService = compre_face.init_face_recognition(API_KEY)
start_time = time.time()
result = recognition.recognize(image_path=image_path)
print("--- %s seconds ---" % (time.time() - start_time))
print(result)
def face_detection_compreface(image_path):
API_KEY: str = '070283a2-faa3-423b-9772-2cd48ecc5362'
compre_face: CompreFace = CompreFace(DOMAIN, PORT)
detection: DetectionService = compre_face.init_face_detection(API_KEY)
start_time = time.time()
result = detection.detect(image_path=image_path)
print("--- %s seconds ---" % (time.time() - start_time))
print(result)
if __name__ == '__main__':
image_path = './moshengren.jpg'
url = 'http://10.0.0.202:9099/system/compreface/face_recognition'
# print(face_recognition_stream(image_path, url))
# print(face_recognition_file(image_path, url))
# face_recognition_compreface(image_path)
face_detection_compreface(image_path)