Mercurial > repos > imgteam > imagej2_bunwarpj_compose_raw
view imagej2_bunwarpj_adapt_transform.py @ 0:93b416f8e9e3 draft
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/image_processing/imagej2 commit b08f0e6d1546caaf627b21f8c94044285d5d5b9c-dirty"
author | imgteam |
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date | Tue, 17 Sep 2019 17:00:19 -0400 |
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#!/usr/bin/env python import argparse import subprocess import tempfile import imagej2_base_utils # Parse Command Line. parser = argparse.ArgumentParser() parser.add_argument( '--source_image', dest='source_image', help='Source image' ) parser.add_argument( '--source_image_format', dest='source_image_format', help='Source image format' ) parser.add_argument( '--target_image', dest='target_image', help='Target image' ) parser.add_argument( '--target_image_format', dest='target_image_format', help='Target image format' ) parser.add_argument( '--input_elastic_transformation', dest='input_elastic_transformation', help='Input elastic transformation matrix' ) parser.add_argument( '--image_size_factor', dest='image_size_factor', type=float, help='Image size factor' ) parser.add_argument( '--output', dest='output', help='Warping index' ) args = parser.parse_args() tmp_dir = imagej2_base_utils.get_temp_dir() source_image_path = imagej2_base_utils.get_input_image_path( tmp_dir, args.source_image, args.source_image_format ) target_image_path = imagej2_base_utils.get_input_image_path( tmp_dir, args.target_image, args.target_image_format ) input_elastic_transformation_path = imagej2_base_utils.get_input_image_path( tmp_dir, args.input_elastic_transformation, 'txt' ) # Define command response buffers. tmp_out = tempfile.NamedTemporaryFile().name tmp_stdout = open( tmp_out, 'wb' ) tmp_err = tempfile.NamedTemporaryFile().name tmp_stderr = open( tmp_err, 'wb' ) def is_power2( val ): if val < 0: return False if val < 1: val = 1.0 / val val = int( val ) return ( ( val & ( val - 1 ) ) == 0 ) # Build the command line to adapt the transformation. cmd = imagej2_base_utils.get_base_cmd_bunwarpj( None ) if cmd is None: imagej2_base_utils.stop_err( "bUnwarpJ not found!" ) cmd += ' -adapt_transform' # Make sure the value of image_size_factor is a power of 2 (positive or negative). if is_power2( args.image_size_factor ): image_size_factor = args.image_size_factor else: msg = "Image size factor must be a positive or negative power of 2 (0.25, 0.5, 2, 4, 8, etc)." imagej2_base_utils.stop_err( msg ) # Target is sent before source. cmd += ' %s' % target_image_path cmd += ' %s' % source_image_path cmd += ' %s' % input_elastic_transformation_path cmd += ' %s' % args.output cmd += ' %2.f' % image_size_factor # Adapt the transformation based on the image size factor using bUnwarpJ. proc = subprocess.Popen( args=cmd, stderr=subprocess.PIPE, stdout=subprocess.PIPE, shell=True ) rc = proc.wait() if rc != 0: error_message = imagej2_base_utils.get_stderr_exception( tmp_err, tmp_stderr, tmp_out, tmp_stdout ) imagej2_base_utils.stop_err( error_message ) imagej2_base_utils.cleanup_before_exit( tmp_dir )