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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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6
module/map_detection/os_grid.py
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@@ -188,7 +188,7 @@ class OSGridPredictor(GridPredictor):
return False
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
@@ -285,7 +285,7 @@ class OSGridPredictor(GridPredictor):
h = (185, 195)
s = (15, 90)
v = (60, 100)
image = cv2.cvtColor(crop(self.image, area), cv2.COLOR_RGB2HSV)
image = cv2.cvtColor(crop(self.image, area, copy=False), cv2.COLOR_RGB2HSV)
lower = (h[0] / 2, s[0] * 2.55, v[0] * 2.55)
upper = (h[1] / 2 + 1, s[1] * 2.55 + 1, v[1] * 2.55 + 1)
image = cv2.inRange(image, lower, upper)
@@ -298,7 +298,7 @@ class OSGridPredictor(GridPredictor):
# Should also have random white rectangles
area = self.grid2screen(np.array([(0.2, 0.2), (0.8, 0.8)]))
area = np.rint(area.flatten()).astype(int).tolist()
image = color_similarity_2d(crop(self.image, area), color=(255, 255, 255))
image = color_similarity_2d(crop(self.image, area, copy=False), color=(255, 255, 255))
count = image[image > 221].shape[0]
if count < 30:
return False