80 lines
3.0 KiB
Python
80 lines
3.0 KiB
Python
# -*- coding: utf-8 -*-
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import json
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import urllib.request
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import urllib.error
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import time
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import cv2
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http_url = 'https://api-cn.faceplusplus.com/facepp/v3/detect'
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key = "cW2DWAvBTk7lsoo8iCgR4TzWrYpVP_qP"
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secret = "NYXhr6g0rTDtKNloY6xyGK1fUpyL_t5W"
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filepath = r"C:\Users\tq\Desktop\1.jpg"
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cap = cv2.VideoCapture(0)
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cap.set(3, 480)
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while cap.isOpened():
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flag, img_rd = cap.read()
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kk = cv2.waitKey(1)
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# 按下 q 键退出
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if kk == ord('q'):
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break
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else:
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cv2.imwrite(r"C:\Users\tq\Desktop\1.jpg", img_rd)
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boundary = '----------%s' % hex(int(time.time() * 1000))
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data = []
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data.append('--%s' % boundary)
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data.append('Content-Disposition: form-data; name="%s"\r\n' % 'api_key')
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data.append(key)
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data.append('--%s' % boundary)
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data.append('Content-Disposition: form-data; name="%s"\r\n' % 'api_secret')
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data.append(secret)
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data.append('--%s' % boundary)
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fr = open(filepath, 'rb')
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data.append('Content-Disposition: form-data; name="%s"; filename=" "' % 'image_file')
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data.append('Content-Type: %s\r\n' % 'application/octet-stream')
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data.append(fr.read())
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fr.close()
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data.append('--%s' % boundary)
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data.append('Content-Disposition: form-data; name="%s"\r\n' % 'return_landmark')
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data.append('1')
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data.append('--%s' % boundary)
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data.append('Content-Disposition: form-data; name="%s"\r\n' % 'return_attributes')
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data.append(
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"gender,age,smiling,headpose,facequality,blur,eyestatus,emotion,ethnicity,beauty,mouthstatus,eyegaze,skinstatus")
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data.append('--%s--\r\n' % boundary)
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for i, d in enumerate(data):
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if isinstance(d, str):
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data[i] = d.encode('utf-8')
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http_body = b'\r\n'.join(data)
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# build http request
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req = urllib.request.Request(url=http_url, data=http_body)
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# header
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req.add_header('Content-Type', 'multipart/form-data; boundary=%s' % boundary)
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try:
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# post data to server
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resp = urllib.request.urlopen(req, timeout=5)
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# get response
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qrcont = resp.read()
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# if you want to load as json, you should decode first,
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# for example: json.loads(qrount.decode('utf-8'))
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try:
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print(json.loads(qrcont.decode('utf-8'))['faces'][0]['attributes']['smile'])
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print(json.loads(qrcont.decode('utf-8'))['faces'][0]['attributes']['emotion'])
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except:
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pass
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faces = json.loads(qrcont.decode('utf-8'))['faces']
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for face in faces:
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rec = face['face_rectangle']
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cv2.rectangle(img_rd, tuple([rec['left'], rec['top']]),
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tuple([rec['left'] + rec['width'], rec['top'] + rec['height']]),
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(0, 255, 0), 2)
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cv2.imshow("camera", img_rd)
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except urllib.error.HTTPError as e:
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pass
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cap.release()
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cv2.destroyAllWindows() |