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patch nd array type issue with the options1-5 in the stack trace

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This commit is contained in:
carl 2024-09-05 15:21:15 -03:00
parent 4276a46e25
commit 862d563f08
2 changed files with 7 additions and 3 deletions
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9
downloads/face_recognition-master/examples/blink_detection.py
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@ -25,7 +25,9 @@ def main():
ret, frame = video_capture.read(0)
# cv2.VideoCapture.release()
small_frame = cv2.resize(frame, (0, 0), fx=0.25, fy=0.25)
rgb_small_frame = small_frame[:, :, ::-1]
# CCG 2024-09-04 replace:
# rgb_small_frame = small_frame[:, :, ::-1]
rgb_small_frame = numpy.ascontiguousarray(frame_process[:, :, ::-1])
face_landmarks_list = face_recognition.face_landmarks(rgb_small_frame)
process = True
@ -35,8 +37,9 @@ def main():
# get it into the correct format
small_frame = cv2.resize(frame, (0, 0), fx=0.25, fy=0.25)
rgb_small_frame = small_frame[:, :, ::-1]
# CCG 2024-09-04 replace:
# rgb_small_frame = small_frame[:, :, ::-1]
rgb_small_frame = numpy.ascontiguousarray(frame_process[:, :, ::-1])
# get the correct face landmarks

1
downloads/face_recognition-master/face_recognition/api.py
View File

@ -115,6 +115,7 @@ def face_locations(img, number_of_times_to_upsample=1, model="hog"):
deep-learning model which is GPU/CUDA accelerated (if available). The default is "hog".
:return: A list of tuples of found face locations in css (top, right, bottom, left) order
"""
print("*********************** LOCAL FACE_RECOGNITION API.PY **********************")
if model == "cnn":
return [_trim_css_to_bounds(_rect_to_css(face.rect), img.shape) for face in _raw_face_locations(img, number_of_times_to_upsample, "cnn")]
else: