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chore: 更新 mask_range 生成工具

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zzyyyl
2024-07-25 12:36:44 +08:00
parent c3e11e75a0
commit ff9ba449dd
1 changed files with 17 additions and 11 deletions
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28
tools/GenerateMaskRange/generate_mask_range.py
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@@ -8,9 +8,11 @@ maa_dir = cur_dir.parent.parent
def generate_mask_ranges(image, base_mask, thresholds):
mask_ranges = []
mask = cv2.inRange(hsv_image, (0, 0, 0), (0, 0, 0))
mask = cv2.inRange(image, (0, 0, 0), (0, 0, 0))
for i, threshold in enumerate(thresholds):
current_mask = cv2.bitwise_and(base_mask, cv2.bitwise_not(mask))
current_mask = cv2.bitwise_not(mask)
if base_mask is not None:
current_mask = cv2.bitwise_and(base_mask, current_mask)
hist_0 = cv2.calcHist([image], [0], current_mask, [256], [0, 256])
hist_1 = cv2.calcHist([image], [1], current_mask, [256], [0, 256])
@@ -21,19 +23,19 @@ def generate_mask_ranges(image, base_mask, thresholds):
val_threshold = threshold * hist_2.max()
try:
lh = int(np.where(hist_0 > hue_threshold)[0][0])
uh = int(np.where(hist_0 > hue_threshold)[0][-1])
ls = int(np.where(hist_1 > sat_threshold)[0][0])
us = int(np.where(hist_1 > sat_threshold)[0][-1])
lv = int(np.where(hist_2 > val_threshold)[0][0])
uv = int(np.where(hist_2 > val_threshold)[0][-1])
l0 = int(np.where(hist_0 > hue_threshold)[0][0])
u0 = int(np.where(hist_0 > hue_threshold)[0][-1])
l1 = int(np.where(hist_1 > sat_threshold)[0][0])
u1 = int(np.where(hist_1 > sat_threshold)[0][-1])
l2 = int(np.where(hist_2 > val_threshold)[0][0])
u2 = int(np.where(hist_2 > val_threshold)[0][-1])
except:
print(f"Failed at #{i}")
break
mask_ranges.append([[lh, ls, lv], [uh, us, uv]])
mask_ranges.append([[l0, l1, l2], [u0, u1, u2]])
mask = cv2.bitwise_or(mask, cv2.inRange(image, (lh, ls, lv), (uh, us, uv)))
mask = cv2.bitwise_or(mask, cv2.inRange(image, (l0, l1, l2), (u0, u1, u2)))
return mask_ranges, mask
def show_image_mask(image, mask, image_for_hist):
@@ -81,9 +83,13 @@ if __name__ == '__main__':
rgb_image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
# 自定义参数
hsv_base_mask = None
# hsv_base_mask = cv2.inRange(hsv_image, (0, 0, 0), (180, 254, 230)) # 忽略亮色背景
hsv_base_mask = cv2.inRange(hsv_image, (0, 1, 40), (180, 255, 255)) # 忽略暗色背景
hsv_thresholds = [0.6] * 3
rgb_base_mask = cv2.inRange(rgb_image, (20, 20, 20), (180, 255, 255)) # 忽略暗色背景
rgb_base_mask = None
# rgb_base_mask = cv2.inRange(rgb_image, (0, 0, 0), (200, 200, 200)) # 忽略亮色背景
rgb_base_mask = cv2.inRange(rgb_image, (20, 20, 20), (255, 255, 255)) # 忽略暗色背景
rgb_thresholds = [0.6] * 3
hsv_mask_ranges, hsv_mask = generate_mask_ranges(hsv_image, hsv_base_mask, hsv_thresholds)