75 lines
2.4 KiB
Python
75 lines
2.4 KiB
Python
|
import os
|
||
|
|
from PIL import Image, ImageDraw
|
||
|
|
|
||
|
|
BASE_IMAGE = r"d:\dsWork\aiData\Output\debug_click_a0819f84-4174-4d71-ae52-71dc9631b93d.jpg"
|
||
|
|
OUTPUT_DIR = r"d:\dsWork\aiData\Output\debug_offset_candidates"
|
||
|
|
BEST_DY = -30
|
||
|
|
|
||
|
|
|
||
|
|
def find_red_circle_center(img):
|
||
|
|
w, h = img.size
|
||
|
|
pixels = img.load()
|
||
|
|
xs = []
|
||
|
|
ys = []
|
||
|
|
y_start = int(h * 0.5)
|
||
|
|
y_end = h
|
||
|
|
x_start = 0
|
||
|
|
x_end = int(w * 0.5)
|
||
|
|
for y in range(y_start, y_end):
|
||
|
|
for x in range(x_start, x_end):
|
||
|
|
r, g, b = pixels[x, y]
|
||
|
|
if r > 230 and g < 40 and b < 40:
|
||
|
|
xs.append(x)
|
||
|
|
ys.append(y)
|
||
|
|
if not xs:
|
||
|
|
raise RuntimeError("未在图像中找到红色圆圈像素")
|
||
|
|
cx = sum(xs) / len(xs)
|
||
|
|
cy = sum(ys) / len(ys)
|
||
|
|
return int(cx), int(cy)
|
||
|
|
|
||
|
|
|
||
|
|
def generate_vertical_candidates():
|
||
|
|
if not os.path.exists(BASE_IMAGE):
|
||
|
|
raise FileNotFoundError(BASE_IMAGE)
|
||
|
|
os.makedirs(OUTPUT_DIR, exist_ok=True)
|
||
|
|
img = Image.open(BASE_IMAGE).convert("RGB")
|
||
|
|
cx, cy = find_red_circle_center(img)
|
||
|
|
w, h = img.size
|
||
|
|
radius = max(6, int(h * 0.012))
|
||
|
|
offsets = [-40, -30, -20, -10, -5, 0, 5, 10, 15, 20]
|
||
|
|
for dy in offsets:
|
||
|
|
img2 = img.copy()
|
||
|
|
draw = ImageDraw.Draw(img2)
|
||
|
|
y2 = max(radius, min(h - radius - 1, cy + dy))
|
||
|
|
draw.ellipse((cx - radius, y2 - radius, cx + radius, y2 + radius), outline="lime", width=3)
|
||
|
|
name = f"candidate_dy_{dy}.jpg"
|
||
|
|
path = os.path.join(OUTPUT_DIR, name)
|
||
|
|
img2.save(path)
|
||
|
|
print(path)
|
||
|
|
|
||
|
|
|
||
|
|
def generate_horizontal_candidates():
|
||
|
|
if not os.path.exists(BASE_IMAGE):
|
||
|
|
raise FileNotFoundError(BASE_IMAGE)
|
||
|
|
os.makedirs(OUTPUT_DIR, exist_ok=True)
|
||
|
|
img = Image.open(BASE_IMAGE).convert("RGB")
|
||
|
|
cx, cy = find_red_circle_center(img)
|
||
|
|
w, h = img.size
|
||
|
|
radius = max(6, int(h * 0.012))
|
||
|
|
y2 = max(radius, min(h - radius - 1, cy + BEST_DY))
|
||
|
|
offsets = [-30, -20, -10, -5, 0, 5, 10, 20, 30]
|
||
|
|
for dx in offsets:
|
||
|
|
img2 = img.copy()
|
||
|
|
draw = ImageDraw.Draw(img2)
|
||
|
|
x2 = max(radius, min(w - radius - 1, cx + dx))
|
||
|
|
draw.ellipse((x2 - radius, y2 - radius, x2 + radius, y2 + radius), outline="cyan", width=3)
|
||
|
|
name = f"candidate_dx_{dx}.jpg"
|
||
|
|
path = os.path.join(OUTPUT_DIR, name)
|
||
|
|
img2.save(path)
|
||
|
|
print(path)
|
||
|
|
|
||
|
|
|
||
|
|
if __name__ == "__main__":
|
||
|
|
generate_vertical_candidates()
|
||
|
|
generate_horizontal_candidates()
|