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Fixed alignment upsample index offset #2

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Fixed alignment upsample index offset #2

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8 changes: 4 additions & 4 deletions package/algorithm/alignment.py
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Original file line number Diff line number Diff line change
Expand Up @@ -288,10 +288,10 @@ def upsampleAlignments(referencePyramidLevel, alternatePyramidLevel, previousAli
neighborsMask = np.tile(tile, (upsampledAlignments.shape[0] // repeatFactor, upsampledAlignments.shape[1] // repeatFactor, 1, 1))

# Compute the indices of the neighbors using the offsets mask
ti1 = np.repeat(np.clip(2 + np.arange(h) // repeatFactor + neighborsMask[:, 0, 0, 0], 0, paddedPreviousAlignments.shape[0] - 1).reshape(h, 1), w, axis=1).reshape(h * w)
ti2 = np.repeat(np.clip(2 + np.arange(h) // repeatFactor + neighborsMask[:, 0, 1, 0], 0, paddedPreviousAlignments.shape[0] - 1).reshape(h, 1), w, axis=1).reshape(h * w)
tj1 = np.repeat(np.clip(2 + np.arange(w) // repeatFactor + neighborsMask[0, :, 0, 1], 0, paddedPreviousAlignments.shape[1] - 1).reshape(1, w), h, axis=0).reshape(h * w)
tj2 = np.repeat(np.clip(2 + np.arange(w) // repeatFactor + neighborsMask[0, :, 1, 1], 0, paddedPreviousAlignments.shape[1] - 1).reshape(1, w), h, axis=0).reshape(h * w)
ti1 = np.repeat(np.clip(1 + np.arange(h) // repeatFactor + neighborsMask[:, 0, 0, 0], 0, paddedPreviousAlignments.shape[0] - 1).reshape(h, 1), w, axis=1).reshape(h * w)
ti2 = np.repeat(np.clip(1 + np.arange(h) // repeatFactor + neighborsMask[:, 0, 1, 0], 0, paddedPreviousAlignments.shape[0] - 1).reshape(h, 1), w, axis=1).reshape(h * w)
tj1 = np.repeat(np.clip(1 + np.arange(w) // repeatFactor + neighborsMask[0, :, 0, 1], 0, paddedPreviousAlignments.shape[1] - 1).reshape(1, w), h, axis=0).reshape(h * w)
tj2 = np.repeat(np.clip(1 + np.arange(w) // repeatFactor + neighborsMask[0, :, 1, 1], 0, paddedPreviousAlignments.shape[1] - 1).reshape(1, w), h, axis=0).reshape(h * w)
# Extract the previously estimated motion vectors associeted with those neighbors
ppa1 = paddedPreviousAlignments[ti1, tj1].reshape((h, w, 2))
ppa2 = paddedPreviousAlignments[ti2, tj2].reshape((h, w, 2))
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