Created
December 31, 2020 09:13
-
-
Save ianforme/b67547e20a56a3e4f2289c525ea177a0 to your computer and use it in GitHub Desktop.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| # Get a reference to webcam | |
| video_capture = cv2.VideoCapture(0) | |
| emotion_dict = { | |
| 0: 'Surprise', | |
| 1: 'Happy', | |
| 2: 'Disgust', | |
| 3: 'Anger', | |
| 4: 'Sadness', | |
| 5: 'Fear', | |
| 6: 'Contempt' | |
| } | |
| while True: | |
| # Grab a single frame of video | |
| ret, frame = video_capture.read() | |
| # Convert the image from BGR color (which OpenCV uses) to RGB color | |
| rgb_frame = frame[:, :, ::-1] | |
| # Find all the faces in the current frame of video | |
| face_locations = detect_face(rgb_frame) | |
| # Display the results | |
| for top, right, bottom, left, sex_preds, age_preds, emotion_preds in face_locations: | |
| # Draw a box around the face | |
| cv2.rectangle(frame, (left, top), (right, bottom), (0, 0, 255), 2) | |
| sex_text = 'Female' if sex_preds > 0.5 else 'Male' | |
| cv2.putText(frame, 'Sex: {}({:.3f})'.format(sex_text, sex_preds), (left, top-10), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (36,255,12), 1) | |
| cv2.putText(frame, 'Age: {:.3f}'.format(age_preds), (left, top-25), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (36,255,12), 1) | |
| cv2.putText(frame, 'Emotion: {}({:.3f})'.format(emotion_dict[np.argmax(emotion_preds)], np.max(emotion_preds)), (left, top-40), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (36,255,12), 1) | |
| # Display the resulting image | |
| cv2.imshow('Video', frame) | |
| # Hit 'q' on the keyboard to quit! | |
| if cv2.waitKey(1) & 0xFF == ord('q'): | |
| break | |
| # Release handle to the webcam | |
| video_capture.release() | |
| cv2.destroyAllWindows() |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment