convert number plates detection project into flask web app

Car-Number-Plates-Detection/README.md

@@ -1 +1,2 @@
-# Car-Number-Plates-Detection
+# Car-Number-Plates-Detection
+e35f28b67d6eeb7f5fbec49f7258103f

Car-Number-Plates-Detection/flask_app/app.py

@@ -0,0 +1,60 @@
+from flask import Flask, render_template, request, redirect, url_for, flash
+import cv2
+import os
+import uuid
+import glob
+
+
+
+app = Flask(__name__)
+app.secret_key = 'e35f28b67d6eeb7f5fbec49f7258103f'
+
+@app.route('/')
+def index():
+    folder_path = 'static/plates'
+    files = glob.glob(os.path.join(folder_path, '*'))
+    # plates = []  # Initialize an empty list
+    # detected_plate_filenames = detect_plate('static/uploads/car1.jpg')  # Provide a sample image path for initial display
+    # plates.extend(detected_plate_filenames)  # Extend the plates list with detected plate filenames
+    return render_template('index.html', plates=files)
+
+@app.route('/upload', methods=['POST'])
+def upload_file():
+    uploaded_file = request.files['file']
+    if uploaded_file.filename != '':
+        file_path = os.path.join('uploads', uploaded_file.filename)
+        uploaded_file.save(file_path)
+
+        plate_number = detect_plate(file_path)
+        flash('Car Number Plate Number: ' + plate_number, 'success')
+
+        return redirect(url_for('index'))
+    else:
+        flash('No file uploaded.', 'error')
+        return redirect(url_for('index'))
+
+def detect_plate(image_path):
+    harcascade = "model/haarcascade_russian_plate_number.xml"
+    min_area = 500
+    count = 0
+
+    img = cv2.imread(image_path)
+    plate_cascade = cv2.CascadeClassifier(harcascade)
+    img_gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
+
+    plates = plate_cascade.detectMultiScale(img_gray, 1.1, 4)
+
+    for (x, y, w, h) in plates:
+        area = w * h
+
+        if area > min_area:
+            img_roi = img[y: y+h, x:x+w]
+            cv2.imwrite("static/plates/scaned_img_" + str(count) + ".jpg", img_roi)
+            count += 1
+
+    return f'Detected {count} plates'
+
+
+
+if __name__ == '__main__':
+    app.run(debug=True)