SmartPicasso/client/gestures/gesture_recognition.py

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Python
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import cv2
import mediapipe as mp
import gestures.simple_gestures_lib as sgest
class MyVideoCapture:
def __init__(self):
# Open the video source
self.vid = cv2.VideoCapture(0)
self.vid.set(3, 300)
self.vid.set(4, 150)
self.mp_drawing = mp.solutions.drawing_utils
self.mp_hands = mp.solutions.hands
self.hands = self.mp_hands.Hands(
min_detection_confidence=0.5, min_tracking_confidence=0.5)
if not self.vid.isOpened():
raise ValueError("Unable to open video source", 0)
# Get video source width and height
self.width = self.vid.get(cv2.CAP_PROP_FRAME_WIDTH)
self.height = self.vid.get(cv2.CAP_PROP_FRAME_HEIGHT)
def get_frame(self):
if self.vid.isOpened():
success, image = self.vid.read()
image = cv2.cvtColor(cv2.flip(image, 1), cv2.COLOR_BGR2RGB)
image.flags.writeable = False
results = self.hands.process(image)
image.flags.writeable = True
image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
if results.multi_hand_landmarks:
for hand_landmarks in results.multi_hand_landmarks:
self.mp_drawing.draw_landmarks(
image, hand_landmarks, self.mp_hands.HAND_CONNECTIONS)
# if cv2.waitKey(33) == ord('s'):
# fingers = {'index': (), 'middle': (), 'ring': (), 'pinky': ()}
fingers = {}
if results.multi_hand_landmarks:
for hand_landmarks in results.multi_hand_landmarks:
fingers['index'] = sgest.check_index_finger(hand_landmarks)
fingers['start_stop'] = sgest.get_start_stop(hand_landmarks)
# fingers['middle'] = sgest.check_middle_finger(hand_landmarks)
# fingers['ring'] = sgest.check_ring_finger(hand_landmarks)
# fingers['pinky'] = sgest.check_pinky_finger(hand_landmarks)
else:
fingers = None
return fingers, image, success
# Release the video source when the object is destroyed
def release(self):
print('My video capture delete')
if self.vid.isOpened():
self.vid.release()
self.hands.close()