last changes to API
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24
API/api.py
24
API/api.py
@ -1,5 +1,5 @@
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# python -m pip install flask
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# export FLASK_APP=api.py
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# export FLASK_APP=API/api.py
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# flask run --without-threads
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from flask import Flask, request, jsonify
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@ -9,11 +9,8 @@ import yolo_video
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import base64
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app = Flask(__name__)
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yolo_model = YOLO()
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""" Automatic call while FLASK init """
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# def deinit_yolo(yolo):
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# yolo.close_session()
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"""API_address/ping/<int:id>"""
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@app.route("/ping/<int:id>", methods=["GET"])
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@ -30,15 +27,14 @@ def test():
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@app.route('/getPlatesNumber', methods=['POST'])
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def getPlatesNumber():
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yolo_model = YOLO()
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res = json.loads(request.data)
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# decoded data
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decoded_data = base64.b64decode(res["imageFile"])
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img_file = open('base64.png', 'wb')
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img_file = open('API/base64.png', 'wb')
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img_file.write(decoded_data)
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img_file.close()
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image_path = r'base64.png'
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image_path = r'API/base64.png'
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base64_b, texts = yolo_video.detect_license_plate(model=yolo_model, img_path=image_path, i=0)
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res = {'platesNumber': texts}
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return jsonify(res), 200
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@ -46,18 +42,20 @@ def getPlatesNumber():
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"""API_address/detectLicense?img="""
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@app.route("/detectLicense", methods=['POST'])
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def detectLicensePlate():
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yolo_model = YOLO()
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res = json.loads(request.data)
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# decoded data
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decoded_data = base64.b64decode(res["imageFile"])
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img_file = open('base64.png', 'wb')
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img_file = open('API/base64.png', 'wb')
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img_file.write(decoded_data)
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img_file.close()
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image_path = r'base64.png'
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image_path = r'API/base64.png'
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base64_b, texts = yolo_video.detect_license_plate(model=yolo_model, img_path=image_path, i=0)
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return jsonify(str(base64_b)), 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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# if __name__ == '__main__':
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# app.run(threaded=False, host='0.0.0.0', port=8080)
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### to run api just paste following to terminal from root dir of project
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# export FLASK_APP=API/api.py
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# flask run --without-threads
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1
API/model_data/_classes.txt
Normal file
1
API/model_data/_classes.txt
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@ -0,0 +1 @@
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licence
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@ -26,7 +26,7 @@ class YOLO(object):
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_defaults = {
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"model_path": 'API/model_data/trained_weights_final.h5',
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"anchors_path": 'API/model_data/yolo_anchors.txt',
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"classes_path": 'API/train/_classes.txt',
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"classes_path": 'API/model_data/_classes.txt',
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"score": 0.3,
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"iou": 0.45,
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"model_image_size": (256,256),#(128, 128),
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@ -11,7 +11,7 @@ from keras.layers import BatchNormalization
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from keras.models import Model
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from keras.regularizers import l2
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from API.yolo3.utils import compose
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from yolo3.utils import compose
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@wraps(Conv2D)
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