Runtime err : Expected numpy.ndarray of uint8

• face_recognition version: 1.2.1
• Python version: 2.7
• Operating System: macOS 10.12.1

Description

The code throws a Runtime error when face_detector is called, printing:
Expected numpy.ndarray of uint8

What I Did

import face_recognition
image = face_recognition.load_image_file("your_file.jpg")
face_locations = face_recognition.face_locations(image)

Traceback

Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/Library/Python/2.7/site-packages/face_recognition/api.py", line 116, in face_locations
    return [_trim_css_to_bounds(_rect_to_css(face), img.shape) for face in _raw_face_locations(img, number_of_times_to_upsample, model)]
  File "/Library/Python/2.7/site-packages/face_recognition/api.py", line 100, in _raw_face_locations
    return face_detector(img, number_of_times_to_upsample)
RuntimeError: Expected numpy.ndarray of uint8

Reproduce the reported snippet with Python 2.7 and inspect face_recognition/api.py at _raw_face_locations (line 100) and face_locations (line 116). Determine why the loaded image is rejected as not a uint8 numpy.ndarray; done means the example runs without the reported RuntimeError.