X offset
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1 changed files with 20 additions and 14 deletions
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@ -196,50 +196,56 @@ class StitchingScanner:
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result[:, w_strip - blend_w:w_strip] = blended
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result[:, w_strip:] = base[:, blend_w:]
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return result
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def _blend_vertical_at_x(self, base: np.ndarray, strip: np.ndarray,
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blend_height: int, append_below: bool) -> np.ndarray:
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blend_height: int, append_below: bool,
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x_offset: int = 0) -> np.ndarray:
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mh, mw = base.shape[:2]
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sh, sw = strip.shape[:2]
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# Match widths
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if sw > mw:
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strip = strip[:, :mw]
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elif sw < mw:
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pad = np.zeros((sh, mw - sw, 3), dtype=np.uint8)
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strip = np.hstack([strip, pad])
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# Clamp x_offset to valid range
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x_offset = max(0, min(x_offset, mw - 1))
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# Calculate how much of strip fits in mosaic
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available_width = mw - x_offset
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strip_width = min(sw, available_width)
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# Create full-width strip with strip placed at x_offset
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full_strip = np.zeros((sh, mw, 3), dtype=np.uint8)
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full_strip[:, x_offset:x_offset + strip_width] = strip[:, :strip_width]
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# Now blend using existing logic
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blend_h = min(blend_height, sh, mh)
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if blend_h <= 0:
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if append_below:
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return np.vstack([base, strip])
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return np.vstack([strip, base])
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return np.vstack([base, full_strip])
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return np.vstack([full_strip, base])
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if append_below:
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alpha = np.linspace(1, 0, blend_h, dtype=np.float32)[:, np.newaxis, np.newaxis]
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base_overlap = base[-blend_h:].astype(np.float32)
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strip_overlap = strip[:blend_h].astype(np.float32)
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strip_overlap = full_strip[:blend_h].astype(np.float32)
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blended = (base_overlap * alpha + strip_overlap * (1 - alpha)).astype(np.uint8)
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result_h = mh + sh - blend_h
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result = np.zeros((result_h, mw, 3), dtype=np.uint8)
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result[:mh - blend_h] = base[:-blend_h]
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result[mh - blend_h:mh] = blended
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result[mh:] = strip[blend_h:]
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result[mh:] = full_strip[blend_h:]
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return result
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else:
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alpha = np.linspace(0, 1, blend_h, dtype=np.float32)[:, np.newaxis, np.newaxis]
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strip_overlap = strip[-blend_h:].astype(np.float32)
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strip_overlap = full_strip[-blend_h:].astype(np.float32)
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base_overlap = base[:blend_h].astype(np.float32)
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blended = (strip_overlap * (1 - alpha) + base_overlap * alpha).astype(np.uint8)
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result_h = mh + sh - blend_h
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result = np.zeros((result_h, mw, 3), dtype=np.uint8)
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result[:sh - blend_h] = strip[:-blend_h]
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result[:sh - blend_h] = full_strip[:-blend_h]
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result[sh - blend_h:sh] = blended
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result[sh:] = base[blend_h:]
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return result
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def _blend_vertical(self, base: np.ndarray, strip: np.ndarray,
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blend_height: int, append_below: bool) -> np.ndarray:
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mh, mw = base.shape[:2]
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