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Fix: Remove secondary peaks in position results

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LmeSzinc 2023-11-13 13:03:34 +08:00
parent ed9e48a97a
commit 84474794f0
1 changed files with 7 additions and 3 deletions
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10
tasks/map/minimap/minimap.py
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@ -133,17 +133,21 @@ class Minimap(MapResource):
result_mask = image_center_crop(result_mask, size=image_size(result)) result_mask = image_center_crop(result_mask, size=image_size(result))
result[result_mask] = 0 result[result_mask] = 0
_, sim, _, loca = cv2.minMaxLoc(result) _, sim, _, loca = cv2.minMaxLoc(result)
# from PIL import Image
# if round(scale, 3) == self.POSITION_SEARCH_SCALE * 1.0: # if round(scale, 3) == self.POSITION_SEARCH_SCALE * 1.0:
# result[result <= 0] = 0 # result[result <= 0] = 0
# Image.fromarray((result * 255).astype(np.uint8)).save('match_result.png') # Image.fromarray((result * 255).astype(np.uint8)).save('match_result.png')
# Gaussian filter to get local maximum # Gaussian filter to get local maximum
local_maximum = cv2.subtract(result, cv2.GaussianBlur(result, (5, 5), 0)) local_maximum = subtract_blur(result, radius=5)
# Multiply to remove secondary peaks
cv2.multiply(local_maximum, result, dst=local_maximum)
cv2.multiply(local_maximum, 10, dst=local_maximum)
_, local_sim, _, local_loca = cv2.minMaxLoc(local_maximum) _, local_sim, _, local_loca = cv2.minMaxLoc(local_maximum)
# if round(scale, 5) == self.POSITION_SEARCH_SCALE * 1.0: # if round(scale, 5) == self.POSITION_SEARCH_SCALE * 1.0:
# local_maximum[local_maximum < 0] = 0 # local_maximum[local_maximum < 0] = 0
# local_maximum[local_maximum > 0.1] = 0.1 # local_maximum[local_maximum > 1] = 1
# Image.fromarray((local_maximum * 255 * 10).astype(np.uint8)).save('local_maximum.png') # Image.fromarray((local_maximum * 255).astype(np.uint8)).save('local_maximum.png')
# Calculate the precise location using CUBIC # Calculate the precise location using CUBIC
# precise = crop(result, area=area_offset((-4, -4, 4, 4), offset=local_loca)) # precise = crop(result, area=area_offset((-4, -4, 4, 4), offset=local_loca))