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Pref: Reuse image array to improve memory performance

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This commit is contained in:
LmeSzinc
2024-06-05 00:20:31 +08:00
parent 77d48937fc
commit 58202c6a40
34 changed files with 61 additions and 58 deletions
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4
module/map_detection/grid_predictor.py
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@@ -271,7 +271,7 @@ class GridPredictor:
def predict_sea(self):
area = area_pad((48, 48, 48 + 46, 48 + 46), pad=5)
res = cv2.matchTemplate(ASSETS.tile_center_image, crop(self.image_homo, area=area), cv2.TM_CCOEFF_NORMED)
res = cv2.matchTemplate(ASSETS.tile_center_image, crop(self.image_homo, area=area, copy=False), cv2.TM_CCOEFF_NORMED)
_, sim, _, _ = cv2.minMaxLoc(res)
if sim > 0.8:
return True
@@ -281,7 +281,7 @@ class GridPredictor:
corner = [(5, 5, corner, corner), (tile - corner, 5, tile, corner), (5, tile - corner, corner, tile),
(tile - corner, tile - corner, tile, tile)]
for area, template in zip(corner[::-1], ASSETS.tile_corner_image_list[::-1]):
res = cv2.matchTemplate(template, crop(self.image_homo, area=area), cv2.TM_CCOEFF_NORMED)
res = cv2.matchTemplate(template, crop(self.image_homo, area=area, copy=False), cv2.TM_CCOEFF_NORMED)
_, sim, _, _ = cv2.minMaxLoc(res)
if sim > 0.8:
return True