ro_end = zero_start + image.shape[1] // 2
image[:, zero_start:zero_end] = 0

image = image[:, :, None]
image = np.concatenate([image, image, image], axis=2)
canny_image = Image.fromarray(image)
make_image_grid([original_image, canny_image], rows=1, cols=2)  original image  canny image For human pose estimation, install controlnet_aux:   Copied # uncomment to install the necessary library in Colab
#!pip install -q controlnet-aux Prepare the huma