How do i modify image in python to fit face_recognition parameters (8bit gray or RGB image)

Question

I'm trying to modify my image so that it fits the supported image type. I've tried using cv2 and Pillow to modify the dtype however it returns the error "RuntimeError: Unsupported image type, must be 8bit gray or RGB image.".

Here is the code:

image = cv2.imread("myimage.jpeg")
print(f"Original dtype : {image.dtype}, shape: {image.shape}")
'''Output: Original dtype : uint8, shape: (720, 1080, 3)'''

image_rgb = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
print(f"Converted dtype: {image_rgb.dtype}, shape: {image_rgb.shape}")
'''Output: Converted dtype: uint8, shape: (720, 1080, 3)'''

pil_image = Image.fromarray(image_rgb)
image_rgb = np.array(pil_image)

image_rgb = image_rgb.astype(np.uint8)
print(f'Final dtype: {image_rgb.dtype}, shape: {image_rgb.shape}')
'''Output: Final dtype: uint8, shape: (720, 1080, 3)'''



face_locations = face_recognition.face_locations(image_rgb)
print(face_locations)
'''Output: RuntimeError: Unsupported image type, must be 8bit gray or RGB image.'''

Answer 1

You have absolutely nothing to do, you can use a normal image!

import face_recognition as fr
import cv2

img = cv2.imread('img.jpg')

face_locations = fr.face_locations(img)

print(face_locations)

for (top, right, bottom, left) in face_locations:
        cv2.rectangle(img, (left-20, top-20), (right+20, bottom+20), (255, 0, 0), 2)
cv2.imshow('img',img)
cv2.waitKey(0)