data_collection.py

import os
import cv2

# Directory to store collected images
DATA_DIR = './data'
if not os.path.exists(DATA_DIR):
    os.makedirs(DATA_DIR)

number_of_classes = 3  # Change this based on the number of signs you want to collect
dataset_size = 100  # Number of images per class

cap = cv2.VideoCapture(0)  # Change to 1 or 2 if the wrong camera is selected

for j in range(number_of_classes):
    class_dir = os.path.join(DATA_DIR, str(j))
    if not os.path.exists(class_dir):
        os.makedirs(class_dir)

    print('Collecting data for class {}'.format(j))

    # Wait for user to be ready
    while True:
        ret, frame = cap.read()
        cv2.putText(frame, 'Press "Q" to start collecting data', (50, 50), 
                    cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 0), 2)
        cv2.imshow('frame', frame)
        if cv2.waitKey(1) & 0xFF == ord('q'):
            break
    # Start collecting images
    counter = 0
    while counter < dataset_size:
        ret, frame = cap.read()
        cv2.imshow('frame', frame)
        cv2.imwrite(os.path.join(class_dir, f'{counter}.jpg'), frame)
        counter += 1
        if cv2.waitKey(1) & 0xFF == ord('q'):
            break

cap.release()
cv2.destroyAllWindows()