New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Where is the face detection model in test.py? #52

Open

manadopeee opened this issue Mar 4, 2024 · 0 comments

manadopeee commented Mar 4, 2024 •

edited

Loading

# Import SixDRepNet
from sixdrepnet import SixDRepNet
import cv2

# Create model
# Weights are automatically downloaded
model = SixDRepNet()

img = cv2.imread('/path/to/image.jpg')

pitch, yaw, roll = model.predict(img)

model.draw_axis(img, yaw, pitch, roll)

cv2.imshow("test_window", img)
cv2.waitKey(0)

Does this code measure the roll, pitch, and yaw of the entire image without a face detection model?

Will it be more accurate if I add a cropped image of the face to the img?

The text was updated successfully, but these errors were encountered:

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment