From a732c680c0c32ff2a6f93594ee8c231bfc273ab7 Mon Sep 17 00:00:00 2001
From: Farzaneh Labbaf <f.labbaf97@gmail.com>
Date: Thu, 4 May 2023 18:31:00 +0200
Subject: [PATCH] Fix minor error in Launch_NN_command_line
---
Launch_NN_command_line.py | 6 +++---
1 file changed, 3 insertions(+), 3 deletions(-)
diff --git a/Launch_NN_command_line.py b/Launch_NN_command_line.py
index 3cbcbd4..857ffb9 100644
--- a/Launch_NN_command_line.py
+++ b/Launch_NN_command_line.py
@@ -68,13 +68,13 @@ def LaunchInstanceSegmentation(reader, image_type, fov_indices=[0], time_value1=
#iterates over the time indices in the range
for t in range(time_value1, time_value2+1):
- log.debug('--------- Segmenting field of view:',fov_ind,'Time point:',t)
+ # print('--------- Segmenting field of view:',fov_ind,'Time point:',t)
#calls the neural network for time t and selected fov
im = reader.LoadOneImage(t, fov_ind)
try:
- pred = LaunchPrediction(im, mic_type, pretrained_weights=path_to_weights)
+ pred = LaunchPrediction(im, image_type, pretrained_weights=path_to_weights)
except ValueError:
print('Error! ',
'The neural network weight files could not '
@@ -97,7 +97,7 @@ def main(args):
if '.h5' in args.mask_path:
args.mask_path = args.mask_path.replace('.h5','')
- reader = nd.Reader("", args.mask_path, args.image_path)
+ reader = nd.Reader("", args.mask_path+'.h5', args.image_path)
LaunchInstanceSegmentation(reader, args.image_type, args.fov,
args.range_of_frames[0], args.range_of_frames[1], args.threshold, args.min_seed_dist, args.path_to_weights)
--
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