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---------------------------------------------------------------------------- recon = np.ones(img_shape, dtype=np.float32, device=dev) -img = np.tile(np.load("../SL.npy")[..., None], (1, 1, 4)) +img = np.tile(np.load("../data/SL.npy")[..., None], (1, 1, 4)) num_iter = 2 num_subsets = 20 for it in range(num_iter): diff --git a/python/demo_write.py b/python/demo_write.py index 5943486..b2f146b 100644 --- a/python/demo_write.py +++ b/python/demo_write.py @@ -18,7 +18,7 @@ expected_num_trues = 1e6 num_iter = 2 num_subsets = 20 -np.random.seed(1) +np.random.seed(42) # ---------------------------------------------------------------------------- # ---------------------------------------------------------------------------- @@ -48,7 +48,7 @@ n0, n1, n2 = img_shape # setup an image containing a box -img = np.tile(np.load("../SL.npy")[..., None], (1, 1, 4)) +img = np.tile(np.load("../data/SL.npy")[..., None], (1, 1, 4)) # ---------------------------------------------------------------------------- # ---------------------------------------------------------------------------- diff --git a/python/io_yardl.py b/python/io_yardl.py index 6ba1532..f3ad203 100644 --- a/python/io_yardl.py +++ b/python/io_yardl.py @@ -1,7 +1,7 @@ from __future__ import annotations import sys -sys.path.append("/workspaces/LMSimRecon/PETSIRD/python") +sys.path.append("../PETSIRD/python") import prd import numpy as np