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Copy pathcollect_imgs.py
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collect_imgs.py
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import os
import cv2
DATA_DIR = './data'
if not os.path.exists(DATA_DIR):
os.makedirs(DATA_DIR)
number_of_classes = 26
dataset_size = 100
cap = cv2.VideoCapture(0)
cap.set(cv2.CAP_PROP_FRAME_WIDTH, 320)
cap.set(cv2.CAP_PROP_FRAME_HEIGHT, 320)
labels_dict = {0: 'HUNGRY', 1: 'NO', 2: 'DRINK'}
for j in range(3):
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, 'Class {}, START'.format(labels_dict[j]), (100, 50), cv2.FONT_HERSHEY_SIMPLEX, 1.3, (0, 255, 0), 3,
cv2.LINE_AA)
cv2.imshow('frame', frame)
if cv2.waitKey(25) == ord(' '):
for k in range(5):
cv2.imshow('frame', frame)
cv2.putText(frame, 'CAPTURING IN {}'.format(5 - k), (100, 50), cv2.FONT_HERSHEY_SIMPLEX, 1.3, (0, 255, 0), 3,
cv2.LINE_AA)
cv2.imshow('frame', frame)
cv2.waitKey(1000)
break
counter = 0
while counter < dataset_size:
ret, frame = cap.read()
cv2.imshow('frame', frame)
cv2.waitKey(50)
cv2.imwrite(os.path.join(DATA_DIR, str(j), '{}.jpg'.format(counter)), frame)
counter += 1
while True:
ret, frame = cap.read()
cv2.putText(frame, 'Class {}, END'.format(labels_dict[j]), (100, 50), cv2.FONT_HERSHEY_SIMPLEX, 1.3, (0, 255, 0), 3,
cv2.LINE_AA)
cv2.imshow('frame', frame)
if cv2.waitKey(25) == ord(' '):
for k in range(5):
cv2.imshow('frame', frame)
cv2.putText(frame, 'CAPTURING IN {}'.format(5 - k), (100, 50), cv2.FONT_HERSHEY_SIMPLEX, 1.3, (0, 255, 0), 3,
cv2.LINE_AA)
cv2.imshow('frame', frame)
cv2.waitKey(1000)
break
while counter - 100 < dataset_size:
ret, frame = cap.read()
cv2.imshow('frame', frame)
cv2.waitKey(50)
cv2.imwrite(os.path.join(DATA_DIR, str(j), '{}.jpg'.format(counter)), frame)
counter += 1
cap.release()
cv2.destroyAllWindows()