server
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import numpy as np
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import cv2
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import os
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import base64
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import requests
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#Capture Image
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cam = cv2.VideoCapture(0)
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ret, img = cam.read()
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ret, frame = cam.read()
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img = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
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#Save Image
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cv2.imwrite("cam_test_img_pre.jpg",img)
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#Encode Image
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ret, jpg_buffer = cv2.imencode('.jpg',img)
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b64_img = base64.b64encode(jpg_buffer)
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print(b64_img)
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#Send Image to Server
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data = {"image":b64_img.decode("utf-8")}
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req = requests.post("http://localhost:5000/process_image",json=data)
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#Decode Image
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img_nparr = np.frombuffer(base64.b64decode(b64_img),np.uint8)
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img = cv2.imdecode(img_nparr,cv2.IMREAD_COLOR)
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cv2.imwrite("cam_test_img_post.jpg",img)
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cv2.imwrite("cam_test_img.jpg",img)
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pyserial
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line_notify
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opencv-python
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opencv-python
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requests
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from flask import Flask, request
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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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app = Flask(__name__)
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@app.route('/')
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def home():
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return '<h1>Ching Chong Bing Bong Ding Dong!!</h1>'
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@app.route('/process_image', methods=['POST'])
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def process_image():
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print(request.data)
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request_data = json.loads(request.data.decode("utf-8"))
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img_nparr = np.frombuffer(base64.b64decode(request_data['image']), np.uint8)
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img = cv2.imdecode(img_nparr,cv2.IMREAD_COLOR)
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cv2.imwrite("retrieved_img.jpg",img)
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print(request_data)
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return "Bing Bong!"
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if __name__ == '__main__':
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app.run()
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flask
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opencv-python
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deepface
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{
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"listeners": {
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"*:80": {
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"pass": "routes"
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}
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},
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"routes": [{
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"match": {
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"uri": "*"
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},
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"action": {
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"pass": "applications/racist_application"
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}
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}],
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"applications": {
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"racist_application": {
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"type": "python",
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"processes": 10,
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"working_directory": "/www/store/cart/",
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"path": "/www/store/",
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"home": ".virtualenv/",
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"module": "cart.run"
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}
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}
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}
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