stitching_cached.py

if cached is not None:
    dst_sz,warper, cameras,corners,masks_warped = cached
    blender.prepare(dst_sz)
    for idx, name in enumerate(img_names):
        corner, image_warped = warper.warp(name, cameras[idx].K().astype(np.float32), cameras[idx].R, cv2.INTER_LINEAR, cv2.BORDER_REFLECT)
        p, mask_warped = warper.warp(255 * np.ones((name.shape[0], name.shape[1]), np.uint8), cameras[idx].K().astype(np.float32), cameras[idx].R, cv2.INTER_NEAREST, cv2.BORDER_CONSTANT)
        compensator.apply(idx, corners[idx], image_warped, mask_warped)
        mask_warped = cv2.bitwise_and(cv2.resize(cv2.dilate(masks_warped[idx], None), (mask_warped.shape[1], mask_warped.shape[0]), 0, 0, cv2.INTER_LINEAR_EXACT), mask_warped)
        blender.feed(cv2.UMat(image_warped.astype(np.int16)), mask_warped, corners[idx])
    result, result_mask = blender.blend(None, None)
    dst = cv2.normalize(src=result, dst=None, alpha=255., norm_type=cv2.NORM_MINMAX, dtype=cv2.CV_8U)
    return False,dst