EDGE_DETECTION
Detect edges in the image that was passed to it. This is done through the Pillow image filter, FIND_EDGES.
Note that the image is converted to greyscale during this processing. Params: default : Image The input image to apply edge detection to. Returns: out : Image The image with detected edges in white.
Python Code
import cv2
import numpy as np
from flojoy import Image, flojoy
from PIL import Image as PILImage
from PIL import ImageFilter
@flojoy(deps={"opencv-python-headless": "4.8.1.78"})
def EDGE_DETECTION(default: Image) -> Image:
"""Detect edges in the image that was passed to it.
This is done through the Pillow image filter, FIND_EDGES.
Note that the image is converted to greyscale during this processing.
Parameters
----------
default : Image
The input image to apply edge detection to.
Returns
-------
Image
The image with detected edges in white.
"""
r = default.r
g = default.g
b = default.b
a = default.a
if a is not None:
rgba_image = np.stack((r, g, b, a), axis=2)
else:
rgba_image = np.stack((r, g, b), axis=2)
try:
image = PILImage.fromarray(rgba_image)
image = image.convert("L").filter(ImageFilter.FIND_EDGES).convert("RGB")
image = np.array(image)
try:
r, g, b, a = cv2.split(image)
except Exception:
r, g, b = cv2.split(image)
if a is None:
a = None
return Image(
r=r,
g=g,
b=b,
a=a,
)
except Exception as e:
raise e
Example
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It’s an edge detection app which uses an edge detection filter node to detect edges on an image.