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cam_objectron.py
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cam_objectron.py
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import cv2
import mediapipe as mp
mp_drawing = mp.solutions.drawing_utils
mp_objectron = mp.solutions.objectron
# For webcam input:
cap = cv2.VideoCapture(0)
with mp_objectron.Objectron(static_image_mode=False,
max_num_objects=5,
min_detection_confidence=0.5,
min_tracking_confidence=0.99,
model_name='Shoe') as objectron:
while cap.isOpened():
success, image = cap.read()
if not success:
print("Ignoring empty camera frame.")
# If loading a video, use 'break' instead of 'continue'.
continue
# Convert the BGR image to RGB.
image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
# To improve performance, optionally mark the image as not writeable to
# pass by reference.
image.flags.writeable = False
results = objectron.process(image)
# Draw the box landmarks on the image.
image.flags.writeable = True
image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
if results.detected_objects:
for detected_object in results.detected_objects:
mp_drawing.draw_landmarks(
image, detected_object.landmarks_2d, mp_objectron.BOX_CONNECTIONS)
mp_drawing.draw_axis(image, detected_object.rotation,
detected_object.translation)
cv2.imshow('MediaPipe Objectron', image)
if cv2.waitKey(5) & 0xFF == 27:
break
cap.release()