質問編集履歴
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クライアント側のプログラムと実行結果を追加しました。
test
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test
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@@ -95,3 +95,119 @@
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TypeError: Expected Ptr<cv::UMat> for argument '%s'
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```
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```
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[client.py]
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import os
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import json
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import cv2
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import base64
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import numpy as np
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from datetime import datetime
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from flask import Flask, request, Response
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app = Flask(__name__)
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count = 0
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image_dir = "./images"
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if not os.path.isdir(image_dir):
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os.mkdir(image_dir)
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def detect_face(img):
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face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
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faces = face_cascade.detectMultiScale(img, 1.3, 5)
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return faces
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@app.route('/save', methods=['POST'])
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def save_image():
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data = request.data.decode('utf-8')
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data_json = json.loads(data)
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image = data_json['image']
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image_dec = base64.b64decode(image)
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data_np = np.fromstring(image_dec, dtype='uint8')
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decimg = cv2.imdecode(data_np, 1)
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gray_img = cv2.cvtColor(decimg, cv2.COLOR_BGR2GRAY)
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faces = detect_face(gray_img)
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for (x,y,w,h) in faces:
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decimg = cv2.rectangle(decimg,(x,y),(x+w,y+h),(255,0,0),2)
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global count
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filename = "./images/image{}.png".format(count)
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cv2.imwrite(filename, decimg)
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count += 1
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return Response(response=json.dumps({"message": "{} was saved".format(filename)}), status=200)
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if __name__ == '__main__':
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app.run(host='0.0.0.0', port=8080)
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```
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```
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[実行結果]
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* Serving Flask app "client" (lazy loading)
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* Environment: production
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WARNING: This is a development server. Do not use it in a production deployment.
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Use a production WSGI server instead.
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* Debug mode: off
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* Running on http://0.0.0.0:8080/ (Press CTRL+C to quit)
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```
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