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Running
on
Zero
Running
on
Zero
import cv2 | |
import numpy as np | |
from PIL import Image | |
def get_extractor(extractor_name): | |
if extractor_name is None: | |
return None | |
if extractor_name not in EXTRACTORS: | |
raise ValueError(f"Extractor {extractor_name} is not supported.") | |
return EXTRACTORS[extractor_name] | |
def canny_extractor(image: Image.Image, threshold1=None, threshold2=None) -> Image.Image: | |
image = np.array(image) | |
gray = cv2.cvtColor(image, cv2.COLOR_RGB2GRAY) | |
v = np.median(gray) | |
sigma = 0.33 | |
threshold1 = threshold1 or int(max(0, (1.0 - sigma) * v)) | |
threshold2 = threshold2 or int(min(255, (1.0 + sigma) * v)) | |
edges = cv2.Canny(gray, threshold1, threshold2) | |
edges = Image.fromarray(edges).convert("RGB") | |
return edges | |
def depth_extractor(image: Image.Image): | |
raise NotImplementedError("Depth extractor is not implemented yet.") | |
def pose_extractor(image: Image.Image): | |
raise NotImplementedError("Pose extractor is not implemented yet.") | |
EXTRACTORS = { | |
"canny": canny_extractor, | |
} | |