Sign-Language-Detection-Using-Python/collect_imgs.py at main · bot041/Sign-Language-Detection-Using-Python · GitHub

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import os # file handling
import cv2

DATA_DIR = './data'
if not os.path.exists(DATA_DIR):
    os.makedirs(DATA_DIR)

# number_of_classes = 3
number_of_classes = 10
dataset_size = 100

# cap = cv2.VideoCapture(2)
cap = cv2.VideoCapture(0)

# Inside data/, it creates folders
for j in range(number_of_classes):
    if not os.path.exists(os.path.join(DATA_DIR, str(j))):
        os.makedirs(os.path.join(DATA_DIR, str(j)))

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

# This loop shows the camera feed and waits for the user to press Q
    done = False
    while True:
        ret, frame = cap.read()
        cv2.putText(frame, 'Ready? Press "Q" ! :)', (100, 50), cv2.FONT_HERSHEY_SIMPLEX, 1.3, (0, 255, 0), 3,
                    cv2.LINE_AA)
        cv2.imshow('frame', frame)
        if cv2.waitKey(25) == ord('q'):
            break

# Start capturing and saving images
    counter = 0
    while counter < dataset_size:
        ret, frame = cap.read()
        cv2.imshow('frame', frame)
        cv2.waitKey(25)
        cv2.imwrite(os.path.join(DATA_DIR, str(j), '{}.jpg'.format(counter)), frame)

        counter += 1

cap.release()
cv2.destroyAllWindows()


# import os

# import cv2


# DATA_DIR = './data'
# if not os.path.exists(DATA_DIR):
#     os.makedirs(DATA_DIR)

# # number_of_classes = 3
# number_of_classes = 10
# dataset_size = 100

# # cap = cv2.VideoCapture(2)
# cap = cv2.VideoCapture(0)

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

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

#     done = False
#     while True:
#         ret, frame = cap.read()
#         cv2.putText(frame, 'Ready? Press "Q" ! :)', (100, 50), cv2.FONT_HERSHEY_SIMPLEX, 1.3, (0, 255, 0), 3,
#                     cv2.LINE_AA)
#         cv2.imshow('frame', frame)
#         if cv2.waitKey(25) == ord('q'):
#             break

#     counter = 0
#     while counter < dataset_size:
#         ret, frame = cap.read()
#         cv2.imshow('frame', frame)
#         cv2.waitKey(25)
#         cv2.imwrite(os.path.join(DATA_DIR, str(j), '{}.jpg'.format(counter)), frame)

#         counter += 1

# cap.release()
# cv2.destroyAllWindows()