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| import numpy as np | |
| from backend.annotators.control_interface import ControlInterface | |
| from PIL import Image | |
| from transformers import pipeline | |
| class DepthControl(ControlInterface): | |
| def get_control_image(self, image: Image) -> Image: | |
| depth_estimator = pipeline("depth-estimation") | |
| image = depth_estimator(image)["depth"] | |
| image = np.array(image) | |
| image = image[:, :, None] | |
| image = np.concatenate([image, image, image], axis=2) | |
| image = Image.fromarray(image) | |
| return image | |