nodes/zentrocdot-ComfyUI_Circle_Detection
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Update nodes.py

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This commit is contained in:
Dr. Peter Netz
2025-02-02 21:39:46 +01:00
committed by GitHub
parent 4272b3ca2f
commit 4b493bd9ef
1 changed files with 11 additions and 7 deletions
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nodes/nodes.py
+11 -7
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@@ -40,11 +40,15 @@ class CircleDetection:
FUNCTION = "circle_detection"
CATEGORY = "🧬 Object Detection Nodes"
def draw_circles(self, img, detected_circles, debug):
def draw_circles(self, img, detected_circles, debug, color_tuple_str):
'''Draw circles.'''
# Copy image to a new image.
newImg = img.copy()
COLOR_TUPLE = (255, 0, 255)
strippedText = str(color_tuple_str).replace('(','').replace(')','').strip()
rgb = strippedText.split(",")
r,g,b = rgb[0].strip(), rgb[1].strip(), rgb[2].strip()
color_tuple = (r,g,b)
#COLOR_TUPLE = (255, 0, 255)
THICKNESS = 5
# Declare local variables.
a, b, r = 0, 0, 0
@@ -60,9 +64,9 @@ class CircleDetection:
# Get the circle data.
a, b, r = pnt[0], pnt[1], pnt[2]
# Draw the circumference of the circle.
cv2.circle(newImg, (a, b), r, COLOR_TUPLE, THICKNESS)
cv2.circle(newImg, (a, b), r, color_tuple, THICKNESS)
# Draw a small circle of radius 1 to show the center.
cv2.circle(newImg, (a, b), 1, COLOR_TUPLE, 3)
cv2.circle(newImg, (a, b), 1, color_tuple, 3)
# Print dimensions and radius.
if debug:
print("No.:", count, "x:", a, "y", b, "r:", r)
@@ -102,10 +106,10 @@ class CircleDetection:
# Return detected_circles.
return detected_circles
def post_img(self, img, detected_circles, debug):
def post_img(self, img, detected_circles, debug, color_tuple):
'''Postprocess image.'''
# Draw circles.
img, (a, b, r) = self.draw_circles(img, detected_circles, debug)
img, (a, b, r) = self.draw_circles(img, detected_circles, debug, color_tuple)
# Return image and tuple.
return img, (a, b, r)
@@ -129,7 +133,7 @@ class CircleDetection:
# Process image. Detect circles.
detected_circles = self.detect_circles(gray_blur, threshold_canny_edge, threshold_circle_center, minR, maxR, minDist, dp, debug)
# Postrocess image.
img_output, _ = self.post_img(img_input, detected_circles, debug)
img_output, _ = self.post_img(img_input, detected_circles, debug, color_tuple)
# Create output image.
img_output = Image.fromarray(img_output)
# Create tensor.