From cb49860bf7c1c616594a847ee01a7b5f07088e65 Mon Sep 17 00:00:00 2001
From: Marcel Issler <147622604+Macl-I@users.noreply.github.com>
Date: Mon, 19 Aug 2024 16:33:11 +0200
Subject: [PATCH] Update _widget.py

updated chunking to 'auto' instead of time steps. That way larger data can be processed at the cost of speed. This was a problem with chunk sizes of approx. 6 Gb on a 16 Gb ram machine
---
 src/napari_fast4dreg/_widget.py | 7 ++++---
 1 file changed, 4 insertions(+), 3 deletions(-)

diff --git a/src/napari_fast4dreg/_widget.py b/src/napari_fast4dreg/_widget.py
index a19a42f..f6d8912 100644
--- a/src/napari_fast4dreg/_widget.py
+++ b/src/napari_fast4dreg/_widget.py
@@ -142,9 +142,10 @@ def run_pipeline(image,
                 ref_channel = len(data[0])
             
             # read in raw data as dask array
-            new_shape = (np.shape(data)[0],1,np.shape(data)[-3],np.shape(data)[-2],np.shape(data)[-1])
-            data = data.rechunk(new_shape)
-            
+            #new_shape = (np.shape(data)[0],1,np.shape(data)[-3],np.shape(data)[-2],np.shape(data)[-1])
+            data = data.rechunk('auto')
+            new_shape = data.chunksize
+                                
             # write data to tmp_file
             data = write_tmp_data_to_disk(tmp_path, data, new_shape)
             print('Imge imported')