|  | from flask import Flask, render_template, request, jsonify | 
					
						
						|  | import cv2 | 
					
						
						|  | import numpy as np | 
					
						
						|  | import os | 
					
						
						|  | import base64 | 
					
						
						|  | import OCRmodel as ocr | 
					
						
						|  | import ImagesProcessing as ip | 
					
						
						|  | app = Flask(__name__) | 
					
						
						|  |  | 
					
						
						|  |  | 
					
						
						|  | save_dir = "captured_images" | 
					
						
						|  | if not os.path.exists(save_dir): | 
					
						
						|  | os.makedirs(save_dir) | 
					
						
						|  | ocr_process = None | 
					
						
						|  |  | 
					
						
						|  | @app.route('/') | 
					
						
						|  | def home(): | 
					
						
						|  | return render_template('home.html') | 
					
						
						|  |  | 
					
						
						|  | @app.route('/index') | 
					
						
						|  | def index(): | 
					
						
						|  | return render_template('index.html') | 
					
						
						|  |  | 
					
						
						|  | @app.route('/other') | 
					
						
						|  | def other(): | 
					
						
						|  | return render_template('other.html') | 
					
						
						|  |  | 
					
						
						|  | @app.route('/capture', methods=['POST']) | 
					
						
						|  | def capture(): | 
					
						
						|  | data = request.json | 
					
						
						|  | image_data = data['image'] | 
					
						
						|  | image_data = image_data.split(",")[1] | 
					
						
						|  | image_data = np.frombuffer(base64.b64decode(image_data), np.uint8) | 
					
						
						|  | image = cv2.imdecode(image_data, cv2.IMREAD_COLOR) | 
					
						
						|  | image_path = os.path.join(save_dir, "captured_image.jpg") | 
					
						
						|  | cv2.imwrite(image_path, image) | 
					
						
						|  | return jsonify({"message": "Image saved successfully!"}) | 
					
						
						|  |  | 
					
						
						|  | @app.route('/save_pasted_image', methods=['POST']) | 
					
						
						|  | def save_pasted_image(): | 
					
						
						|  | data = request.json | 
					
						
						|  | image_data = data['image'] | 
					
						
						|  | image_data = image_data.split(",")[1] | 
					
						
						|  | image_data = np.frombuffer(base64.b64decode(image_data), np.uint8) | 
					
						
						|  | image = cv2.imdecode(image_data, cv2.IMREAD_COLOR) | 
					
						
						|  | image_path = os.path.join(save_dir, "pasted_image.jpg") | 
					
						
						|  | cv2.imwrite(image_path, image) | 
					
						
						|  | return jsonify({"message": "Pasted image saved successfully!"}) | 
					
						
						|  |  | 
					
						
						|  | @app.route('/camocr', methods=['POST']) | 
					
						
						|  | def camocr(): | 
					
						
						|  | image_path = os.path.join(save_dir, "captured_image.jpg") | 
					
						
						|  | result = DoOCR(image_path) | 
					
						
						|  | return jsonify({"result": result}) | 
					
						
						|  |  | 
					
						
						|  | @app.route('/imgocr', methods=['POST']) | 
					
						
						|  | def imgocr(): | 
					
						
						|  | image_path = os.path.join(save_dir, "pasted_image.jpg") | 
					
						
						|  | result = DoOCR(image_path) | 
					
						
						|  | return jsonify({"result": result}) | 
					
						
						|  |  | 
					
						
						|  |  | 
					
						
						|  | def processImage(image_path): | 
					
						
						|  | ip.process_image(image_path) | 
					
						
						|  |  | 
					
						
						|  |  | 
					
						
						|  |  | 
					
						
						|  | def DoOCR(image_path): | 
					
						
						|  | processImage(image_path) | 
					
						
						|  | output_path = "processed_images/processed_image.jpg" | 
					
						
						|  | return ocr.OCRing(output_path) | 
					
						
						|  |  | 
					
						
						|  |  | 
					
						
						|  | if __name__ == '__main__': | 
					
						
						|  | app.run(debug=True) | 
					
						
						|  |  |