Remove unused heuristic water mask

app/water.py

@@ -1,76 +0,0 @@
-from __future__ import annotations
-
-import cv2
-import numpy as np
-
-
-def heuristic_water_mask(
-    rgb_np: np.ndarray,
-    grad_norm: np.ndarray,
-    texture_norm: np.ndarray | None = None,
-    max_side: int = 512,
-) -> np.ndarray | None:
-    """Cheap water detector using color, low texture, and flat depth cues."""
-    if rgb_np is None or grad_norm is None:
-        return None
-    h, w = rgb_np.shape[:2]
-    if h == 0 or w == 0:
-        return None
-
-    scale = min(1.0, float(max_side) / float(max(h, w)))
-    if scale < 1.0:
-        new_size = (max(1, int(round(w * scale))), max(1, int(round(h * scale))))
-        rgb_small = cv2.resize(rgb_np, new_size, interpolation=cv2.INTER_AREA)
-        grad_small = cv2.resize(grad_norm, new_size, interpolation=cv2.INTER_LINEAR)
-        tex_small = (
-            cv2.resize(texture_norm, new_size, interpolation=cv2.INTER_LINEAR) if texture_norm is not None else None
-        )
-    else:
-        rgb_small = rgb_np
-        grad_small = grad_norm
-        tex_small = texture_norm
-
-    hsv = cv2.cvtColor(rgb_small, cv2.COLOR_RGB2HSV)
-    h_ch, s_ch, v_ch = cv2.split(hsv)
-
-    hue_mask = (h_ch >= 80) & (h_ch <= 140)  # blues/cyans
-    sat_mask = s_ch > 40
-    val_mask = v_ch > 40
-    color_mask = hue_mask & sat_mask & val_mask
-
-    gray = cv2.cvtColor(rgb_small, cv2.COLOR_RGB2GRAY).astype(np.float32) / 255.0
-    gx = cv2.Sobel(gray, cv2.CV_32F, 1, 0, ksize=3)
-    gy = cv2.Sobel(gray, cv2.CV_32F, 0, 1, ksize=3)
-    texture = np.sqrt(gx * gx + gy * gy)
-    texture = cv2.GaussianBlur(texture, (0, 0), sigmaX=1.2, sigmaY=1.2)
-    if tex_small is None:
-        if texture.max() > texture.min():
-            tex_norm = (texture - texture.min()) / (np.ptp(texture) + 1e-6)
-        else:
-            tex_norm = np.zeros_like(texture)
-    else:
-        tex_norm = np.clip(tex_small.astype(np.float32), 0.0, 1.0)
-    low_texture = tex_norm < 0.35
-
-    depth_flat = grad_small < 0.08
-
-    mask = color_mask & low_texture & depth_flat
-
-    mask_uint = mask.astype(np.uint8)
-    kernel = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (5, 5))
-    try:
-        mask_uint = cv2.morphologyEx(mask_uint, cv2.MORPH_OPEN, kernel)
-        mask_uint = cv2.morphologyEx(mask_uint, cv2.MORPH_CLOSE, kernel)
-        mask_uint = cv2.dilate(mask_uint, kernel, iterations=1)
-    except Exception:
-        pass
-
-    if mask_uint.max() == 0:
-        return None
-
-    if (rgb_small.shape[0], rgb_small.shape[1]) != (h, w):
-        mask_uint = cv2.resize(mask_uint, (w, h), interpolation=cv2.INTER_NEAREST)
-    return mask_uint.astype(bool)
-
-
-__all__ = ["heuristic_water_mask"]