Previous changeset 2:49e29abe0fce (2023-11-05) |
Commit message:
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/image_processing/imagej2 commit 8f49f3c66b5a1de99ec15e65c2519a56792f1d56 |
modified:
imagej2_adjust_threshold_binary_jython_script.py imagej2_analyze_particles_binary_jython_script.py imagej2_analyze_skeleton_jython_script.py imagej2_binary_to_edm_jython_script.py imagej2_enhance_contrast_jython_script.py imagej2_find_edges_jython_script.py imagej2_find_maxima_jython_script.py imagej2_macros.xml imagej2_make_binary_jython_script.py imagej2_math_jython_script.py imagej2_noise_jython_script.py imagej2_shadows_jython_script.py imagej2_sharpen.xml imagej2_sharpen_jython_script.py imagej2_skeletonize3d_jython_script.py imagej2_smooth_jython_script.py imagej2_watershed_binary_jython_script.py test-data/add_specified_noise.gif test-data/analyze_particles_outlines.gif test-data/blobs_threshold_default.gif test-data/blobs_threshold_huang_dark.gif test-data/elastic_trans_registered_source1.png test-data/raw_trans_registered_source1.png test-data/registered_source1.png test-data/registered_source2.png test-data/registered_target1.png test-data/registered_target2.png test-data/remove_outliers.gif test-data/shortest_branch_all_yes.tabular test-data/shortest_branch_basic.tabular |
added:
imagej2_crop_jython_script.py imagej2_filter_jython_script.py test-data/analyze_particles_bareoutlines.gif test-data/analyze_particles_overlaymasks.gif test-data/analyze_particles_rois.tabular test-data/blobs_crop_top50.gif test-data/blobs_crop_width50.gif test-data/blobs_threshold_0-8.gif test-data/blobs_threshold_8-255.gif test-data/blobs_threshold_percentile.gif test-data/composed_raw_elastic_transformation_full.txt test-data/composed_raw_transformation_full.txt test-data/confocal-series-both-channels.tiff test-data/confocal-series-both-channels_cropped_singleZ.tiff test-data/confocal-series-first-channel.tif test-data/confocal-series-first-channel_cropped.tiff test-data/confocal-series-first-channel_cropped_singleZ.tiff test-data/confocal-series-first-channel_default_threshold_watershed.tiff test-data/confocal-series-first-channel_gaussian_blur.tiff test-data/confocal-series-first-channel_threshold_default.tiff test-data/confocal-series-first-channel_threshold_default_overlay_mask.tiff test-data/confocal_analyze_particles.tabular test-data/confocal_analyze_particles_rois.tabular test-data/gaussian_blur.gif test-data/median.gif test-data/raw_transformation_full.txt test-data/regenerate_outputs.sh test-data/registered_source1_forced1cpu.png test-data/registered_source2_forced1cpu.png test-data/registered_target1_forced1cpu.png test-data/registered_target2_forced1cpu.png test-data/source_elastic_transformation_forced1cpu_out_full.txt test-data/source_elastic_transformation_out_full.txt test-data/target_elastic_transformation_forced1cpu_out_full.txt test-data/target_elastic_transformation_out_full.txt test-data/top_hat.gif test-data/top_hat2.gif test-data/unsharp_mask.gif test-data/warping_index1_full.txt test-data/warping_index_raw_full.txt |
removed:
test-data/analyze_particles_masks.gif test-data/blobs_threshold_ijiso.gif test-data/dot_blot.jpg test-data/dot_blot.png test-data/dot_blot.tiff |
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diff -r 49e29abe0fce -r 418b1fa32b83 imagej2_adjust_threshold_binary_jython_script.py --- a/imagej2_adjust_threshold_binary_jython_script.py Sun Nov 05 10:49:30 2023 +0000 +++ b/imagej2_adjust_threshold_binary_jython_script.py Wed Sep 25 16:08:08 2024 +0000 |
[ |
@@ -1,18 +1,15 @@ import sys -from ij import IJ +from ij import IJ, Prefs # Fiji Jython interpreter implements Python 2.5 which does not # provide support for argparse. -error_log = sys.argv[-10] -input_file = sys.argv[-9] -threshold_min = float(sys.argv[-8]) -threshold_max = float(sys.argv[-7]) -method = sys.argv[-6] -display = sys.argv[-5] -black_background = sys.argv[-4] == "yes" -# TODO: this is not being used. -stack_histogram = sys.argv[-3] == "yes" +input_file = sys.argv[-8] +threshold_min = float(sys.argv[-7]) +threshold_max = float(sys.argv[-6]) +method = sys.argv[-5] +display = sys.argv[-4] +black_background = sys.argv[-3] == "yes" output_filename = sys.argv[-2] output_datatype = sys.argv[-1] @@ -21,22 +18,34 @@ # Create a copy of the image. input_image_plus_copy = input_image_plus.duplicate() -image_processor_copy = input_image_plus_copy.getProcessor() + +bit_depth = input_image_plus_copy.getBitDepth() + +if black_background: + Prefs.blackBackground = True +else: + Prefs.blackBackground = False -# Convert image to binary if necessary. -if not image_processor_copy.isBinary(): - # Convert the image to binary grayscale. - IJ.run( - input_image_plus_copy, - "Make Binary", - "iterations=1 count=1 edm=Overwrite do=Nothing", - ) -# Set the options. -if black_background: - method_str = "%s dark" % method -else: - method_str = method -IJ.setAutoThreshold(input_image_plus_copy, method_str) +if method != "Manual": + # Set the options. + if black_background: + method_str = "%s dark" % method + suffix = "black" + else: + method_str = method + suffix = "" + threshold_min = 1 + # Set threshold_max based on image bit-depth + # For 8-bit images, use 255; for 16-bit images, use 65535 + if bit_depth == 8: + threshold_max = 255 # Default for 8-bit images + elif bit_depth == 16: + threshold_max = 65535 # Default for 16-bit images + else: + threshold_max = float('inf') # General fallback if bit depth is unknown + + IJ.setAutoThreshold(input_image_plus_copy, method_str) + IJ.run(input_image_plus_copy, "Convert to Mask", "calculate %s" % suffix) if display == "red": display_mode = "Red" elif display == "bw": @@ -44,7 +53,5 @@ elif display == "over_under": display_mode = "Over/Under" IJ.setThreshold(input_image_plus_copy, threshold_min, threshold_max, display_mode) -# Run the command. -IJ.run(input_image_plus_copy, "threshold", "") # Save the ImagePlus object as a new image. IJ.saveAs(input_image_plus_copy, output_datatype, output_filename) |
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diff -r 49e29abe0fce -r 418b1fa32b83 imagej2_analyze_particles_binary_jython_script.py --- a/imagej2_analyze_particles_binary_jython_script.py Sun Nov 05 10:49:30 2023 +0000 +++ b/imagej2_analyze_particles_binary_jython_script.py Wed Sep 25 16:08:08 2024 +0000 |
[ |
@@ -1,27 +1,32 @@ import sys -from ij import IJ +from ij import IJ, Prefs from ij.plugin.filter import Analyzer OPTIONS = ["edm=Overwrite", "iterations=1", "count=1"] # Fiji Jython interpreter implements Python 2.5 which does not # provide support for argparse. -error_log = sys.argv[-14] -input_file = sys.argv[-13] -black_background = sys.argv[-12] == "yes" -size = sys.argv[-11] -circularity_min = float(sys.argv[-10]) -circularity_max = float(sys.argv[-9]) -show = sys.argv[-8] -display_results = sys.argv[-7] == "yes" -all_results = sys.argv[-6] == "yes" +roi_coordinate_file = sys.argv[-13] +input_file = sys.argv[-12] +black_background = sys.argv[-11] == "yes" +size = sys.argv[-10] +circularity_min = float(sys.argv[-9]) +circularity_max = float(sys.argv[-8]) +show = sys.argv[-7] +display_results = sys.argv[-6] == "yes" exclude_edges = sys.argv[-5] == "yes" include_holes = sys.argv[-4] == "yes" output_filename = sys.argv[-3] output_datatype = sys.argv[-2] results_path = sys.argv[-1] + +if black_background: + Prefs.blackBackground = True +else: + Prefs.blackBackground = False + # Open the input image file. input_image_plus = IJ.openImage(input_file) @@ -42,9 +47,32 @@ IJ.run(input_image_plus_copy, "Make Binary", "") # Set the options. -options = ["size=%s" % size] +options = ["size=%s" % size, "stack"] circularity_str = "%.3f-%.3f" % (circularity_min, circularity_max) options.append("circularity=%s" % circularity_str) +if exclude_edges: + options.append("exclude") +if include_holes: + options.append("include") + +# If you need the coordinates of ROIs we compute it twice +if len(roi_coordinate_file) > 0: + options2 = list(options) + options2.append("show=Overlay") + IJ.run(input_image_plus_copy, "Analyze Particles...", " ".join(options2)) + ov = input_image_plus_copy.getOverlay() + with open(roi_coordinate_file, 'w') as fo: + fo.write("shape\tpoints\tlabel\tt\tz\n") + for i, roi in enumerate(ov): + if roi.getName() is None: + roi.name = "ROI_%d" % i + poly = roi.getPolygon() + x_values = poly.xpoints + y_values = poly.ypoints + points_coo = ",".join(["(%d,%d)" % (x, y) for x, y in zip(x_values, y_values)]) + fo.write("Polygon\t%s\t%s\t%d\t%d\n" % (points_coo, roi.getName(), roi.getTPosition(), roi.getZPosition())) + analyzer.resetCounter() + if show.find("_") >= 0: show_str = "[%s]" % show.replace("_", " ") else: @@ -52,12 +80,6 @@ options.append("show=%s" % show_str) if display_results: options.append("display") - if not all_results: - options.append("summarize") -if exclude_edges: - options.append("exclude") -if include_holes: - options.append("include") # Always run "in_situ". options.append("in_situ") @@ -68,6 +90,6 @@ if len(output_filename) > 0: # Save the ImagePlus object as a new image. IJ.saveAs(input_image_plus_copy, output_datatype, output_filename) -if display_results and len(results_path) > 0: +if len(results_path) > 0: results_table = analyzer.getResultsTable() results_table.saveAs(results_path) |
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diff -r 49e29abe0fce -r 418b1fa32b83 imagej2_analyze_skeleton_jython_script.py --- a/imagej2_analyze_skeleton_jython_script.py Sun Nov 05 10:49:30 2023 +0000 +++ b/imagej2_analyze_skeleton_jython_script.py Wed Sep 25 16:08:08 2024 +0000 |
[ |
@@ -121,7 +121,6 @@ # Fiji Jython interpreter implements Python 2.5 which does not # provide support for argparse. -error_log = sys.argv[-8] input = sys.argv[-7] black_background = sys.argv[-6] == "yes" prune_cycle_method = sys.argv[-5] |
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diff -r 49e29abe0fce -r 418b1fa32b83 imagej2_binary_to_edm_jython_script.py --- a/imagej2_binary_to_edm_jython_script.py Sun Nov 05 10:49:30 2023 +0000 +++ b/imagej2_binary_to_edm_jython_script.py Wed Sep 25 16:08:08 2024 +0000 |
[ |
@@ -4,7 +4,6 @@ # Fiji Jython interpreter implements Python 2.5 which does not # provide support for argparse. -error_log = sys.argv[-8] input_file = sys.argv[-7] iterations = int(sys.argv[-6]) count = int(sys.argv[-5]) |
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diff -r 49e29abe0fce -r 418b1fa32b83 imagej2_crop_jython_script.py --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/imagej2_crop_jython_script.py Wed Sep 25 16:08:08 2024 +0000 |
[ |
@@ -0,0 +1,55 @@ +import sys + +from ij import IJ +from ij.plugin import Duplicator + +# Fiji Jython interpreter implements Python 2.5 which does not +# provide support for argparse. +input_file = sys.argv[-13] +xleft = int(sys.argv[-12]) +width = int(sys.argv[-11]) +ytop = int(sys.argv[-10]) +height = int(sys.argv[-9]) +first_channel = int(sys.argv[-8]) +last_channel = int(sys.argv[-7]) +first_slice = int(sys.argv[-6]) +last_slice = int(sys.argv[-5]) +first_frame = int(sys.argv[-4]) +last_frame = int(sys.argv[-3]) +output_filename = sys.argv[-2] +output_datatype = sys.argv[-1] + +# Open the input image file. +input_image_plus = IJ.openImage(input_file) + +# Get image dimensions (width, height, nChannels, nSlices, nFrames) +image_dims = input_image_plus.getDimensions() + +# Create a copy of the image. +input_image_plus_copy = input_image_plus.duplicate() + +# Determine if crop in XY is needed: +if xleft != 0 or width != 0 or ytop != 0 or height != 0: + # Need to define a ROI + if width == 0: + width = image_dims[0] - xleft + if height == 0: + height = image_dims[1] - ytop + input_image_plus_copy.setRoi(xleft, ytop, width, height) + +# Replace 0's with default: +if last_channel == 0: + last_channel = image_dims[2] +if last_slice == 0: + last_slice = image_dims[3] +if last_frame == 0: + last_frame = image_dims[4] +print("Original dimensions:") +print(image_dims) +# This will also crop in XY is a ROI has been set +input_image_plus_copy = Duplicator().run(input_image_plus_copy, first_channel, last_channel, first_slice, last_slice, first_frame, last_frame) +print("Final dimensions:") +print(input_image_plus_copy.getDimensions()) + +# Save the ImagePlus object as a new image. +IJ.saveAs(input_image_plus_copy, output_datatype, output_filename) |
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diff -r 49e29abe0fce -r 418b1fa32b83 imagej2_enhance_contrast_jython_script.py --- a/imagej2_enhance_contrast_jython_script.py Sun Nov 05 10:49:30 2023 +0000 +++ b/imagej2_enhance_contrast_jython_script.py Wed Sep 25 16:08:08 2024 +0000 |
[ |
@@ -4,7 +4,6 @@ # Fiji Jython interpreter implements Python 2.5 which does not # provide support for argparse. -error_log = sys.argv[-7] input = sys.argv[-6] equalize_histogram = sys.argv[-5] == "yes" saturated_pixels = sys.argv[-4] |
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diff -r 49e29abe0fce -r 418b1fa32b83 imagej2_filter_jython_script.py --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/imagej2_filter_jython_script.py Wed Sep 25 16:08:08 2024 +0000 |
[ |
@@ -0,0 +1,39 @@ +import sys + +from ij import IJ + +# Fiji Jython interpreter implements Python 2.5 which does not +# provide support for argparse. +input_file = sys.argv[-8] +image_datatype = sys.argv[-7] +filter = sys.argv[-6] +radius = sys.argv[-5] +mask = sys.argv[-4] +light_background = sys.argv[-3] +dont_substract = sys.argv[-2] +tmp_output_path = sys.argv[-1] + +# Open the input image file. +image_plus = IJ.openImage(input_file) +# Create an ImagePlus object for the image. +image_plus_copy = image_plus.duplicate() + +# Perform the analysis on the ImagePlus object. +try: + if filter == "gaussian_blur": + IJ.run(image_plus_copy, "Gaussian Blur...", "sigma=%s stack" % radius) + elif filter in ["median", "mean", "minimum", "maximum", "variance"]: + IJ.run(image_plus_copy, "%s..." % filter.title(), "radius=%s stack" % radius) + elif filter == "unsharp_mask": + IJ.run(image_plus_copy, "Unsharp Mask...", "radius=%s mask=%s stack" % (radius, mask)) + elif filter == "top_hat": + print("radius=%s %s %s" % (radius, light_background, dont_substract.replace('dont', "don't"))) + IJ.run(image_plus_copy, "Top Hat...", "radius=%s %s %s stack" % (radius, light_background, dont_substract.replace('dont', "don't"))) +except Exception as e: + # This is due to some operations like gaussian_blur which block the script + print(e) + exit(1) +# Save the ImagePlus object as a new image. +IJ.saveAs(image_plus_copy, image_datatype, tmp_output_path) +# This is due to some operations like gaussian_blur which block the script +exit(0) |
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diff -r 49e29abe0fce -r 418b1fa32b83 imagej2_find_edges_jython_script.py --- a/imagej2_find_edges_jython_script.py Sun Nov 05 10:49:30 2023 +0000 +++ b/imagej2_find_edges_jython_script.py Wed Sep 25 16:08:08 2024 +0000 |
[ |
@@ -4,7 +4,6 @@ # Fiji Jython interpreter implements Python 2.5 which does not # provide support for argparse. -error_log = sys.argv[-4] input = sys.argv[-3] tmp_output_path = sys.argv[-2] output_datatype = sys.argv[-1] |
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diff -r 49e29abe0fce -r 418b1fa32b83 imagej2_find_maxima_jython_script.py --- a/imagej2_find_maxima_jython_script.py Sun Nov 05 10:49:30 2023 +0000 +++ b/imagej2_find_maxima_jython_script.py Wed Sep 25 16:08:08 2024 +0000 |
[ |
@@ -6,7 +6,6 @@ # Fiji Jython interpreter implements Python 2.5 which does not # provide support for argparse. -error_log = sys.argv[-10] input_file = sys.argv[-9] scale_when_converting = sys.argv[-8] == "yes" weighted_rgb_conversions = sys.argv[-7] == "yes" @@ -35,7 +34,7 @@ if weighted_rgb_conversions: options.append("weighted") # Perform conversion - must happen even if no options are set. -IJ.run(input_image_plus_copy, "Conversions...", "%s" % " ".join(options)) +IJ.run(input_image_plus_copy, "Conversions...", " %s" % " ".join(options)) if output_type in ["List", "Count"]: # W're generating a tabular file for the output. # Set the Find Maxima options. |
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diff -r 49e29abe0fce -r 418b1fa32b83 imagej2_macros.xml --- a/imagej2_macros.xml Sun Nov 05 10:49:30 2023 +0000 +++ b/imagej2_macros.xml Wed Sep 25 16:08:08 2024 +0000 |
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@@ -1,19 +1,12 @@ <macros> - <token name="@WRAPPER_VERSION@">3.0</token> + <token name="@TOOL_VERSION@">20240614</token> + <token name="@VERSION_SUFFIX@">0</token> <xml name="fiji_requirements"> <requirements> - <requirement type="package" version="20170530">fiji</requirement> - <requirement type="package" version="3.4">grep</requirement> + <requirement type="package" version="@TOOL_VERSION@">fiji</requirement> + <requirement type="package" version="3.11">grep</requirement> </requirements> </xml> - <xml name="stdio"> - <stdio> - <exit_code range="1:"/> - <exit_code range=":-1"/> - <regex match="Error:"/> - <regex match="Exception:"/> - </stdio> - </xml> <xml name="image_type"> <param name="image_type" type="select" label="Image type"> <option value="8-bit_white" selected="true">8-bit white</option> |
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diff -r 49e29abe0fce -r 418b1fa32b83 imagej2_make_binary_jython_script.py --- a/imagej2_make_binary_jython_script.py Sun Nov 05 10:49:30 2023 +0000 +++ b/imagej2_make_binary_jython_script.py Wed Sep 25 16:08:08 2024 +0000 |
[ |
@@ -4,7 +4,6 @@ # Fiji Jython interpreter implements Python 2.5 which does not # provide support for argparse. -error_log = sys.argv[-8] input = sys.argv[-7] iterations = int(sys.argv[-6]) count = int(sys.argv[-5]) |
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diff -r 49e29abe0fce -r 418b1fa32b83 imagej2_math_jython_script.py --- a/imagej2_math_jython_script.py Sun Nov 05 10:49:30 2023 +0000 +++ b/imagej2_math_jython_script.py Wed Sep 25 16:08:08 2024 +0000 |
[ |
@@ -3,8 +3,7 @@ from ij import IJ # Fiji Jython interpreter implements Python 2.5 which does not -# provide support for argparse. -error_log = sys.argv[-8] +# provide support for argparse.\ input_file = sys.argv[-7] operation = sys.argv[-6] expression = sys.argv[-5] @@ -19,7 +18,6 @@ tmp_output_path = sys.argv[-2] output_datatype = sys.argv[-1] -print("\nerror_log: %s\n" % str(error_log)) print("\ninput_file: %s\n" % str(input_file)) print("\noperation: %s\n" % str(operation)) print("\nexpression: %s\n" % str(expression)) |
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diff -r 49e29abe0fce -r 418b1fa32b83 imagej2_noise_jython_script.py --- a/imagej2_noise_jython_script.py Sun Nov 05 10:49:30 2023 +0000 +++ b/imagej2_noise_jython_script.py Wed Sep 25 16:08:08 2024 +0000 |
[ |
@@ -1,85 +1,56 @@ import sys -from ij import IJ +from ij import IJ, ImagePlus # Fiji Jython interpreter implements Python 2.5 which does not # provide support for argparse. -error_log = sys.argv[-19] -input_file = sys.argv[-18] -image_datatype = sys.argv[-17] -noise = sys.argv[-16] -standard_deviation = sys.argv[-15] -radius = sys.argv[-14] -threshold = sys.argv[-13] -which_outliers = sys.argv[-12] -randomj = sys.argv[-11] -trials = sys.argv[-10] -probability = sys.argv[-9] -# Note the spelling - so things don't get confused due to Python lambda function. -lammbda = sys.argv[-8] -order = sys.argv[-7] -mean = sys.argv[-6] -sigma = sys.argv[-5] -min = sys.argv[-4] -max = sys.argv[-3] -insertion = sys.argv[-2] +input_file = sys.argv[-8] +image_datatype = sys.argv[-7] +noise = sys.argv[-6] +standard_deviation = sys.argv[-5] +radius = sys.argv[-4] +threshold = sys.argv[-3] +which_outliers = sys.argv[-2] tmp_output_path = sys.argv[-1] # Open the input image file. image_plus = IJ.openImage(input_file) -bit_depth = image_plus.getBitDepth() image_type = image_plus.getType() +is32BITS_GREY = image_type == ImagePlus.GRAY32 # Create an ImagePlus object for the image. image_plus_copy = image_plus.duplicate() -# Make a copy of the image. -image_processor_copy = image_plus_copy.getProcessor() # Perform the analysis on the ImagePlus object. -if noise == "add_noise": - IJ.run(image_plus_copy, "Add Noise", "") -elif noise == "add_specified_noise": - IJ.run(image_plus_copy, "Add Specified Noise", "standard=&standard_deviation") -elif noise == "salt_and_pepper": - IJ.run(image_plus_copy, "Salt and Pepper", "") -elif noise == "despeckle": - IJ.run(image_plus_copy, "Despeckle", "") -elif noise == "remove_outliers": - IJ.run( - image_plus_copy, - "Remove Outliers", - "radius=&radius threshold=&threshold which=&which_outliers", - ) -elif noise == "remove_nans": - IJ.run(image_plus_copy, "Remove NaNs", "") -elif noise == "rof_denoise": - IJ.run(image_plus_copy, "ROF Denoise", "") -elif noise == "randomj": - if randomj == "randomj_binomial": +try: + if noise == "add_noise": + IJ.run(image_plus_copy, "Add Noise", "") + elif noise == "add_specified_noise": + IJ.run(image_plus_copy, "Add Specified Noise...", "standard=%s" % standard_deviation) + elif noise == "salt_and_pepper": + IJ.run(image_plus_copy, "Salt and Pepper", "") + elif noise == "despeckle": + IJ.run(image_plus_copy, "Despeckle", "") + elif noise == "remove_outliers": IJ.run( image_plus_copy, - "RandomJ Binomial", - "trials=&trials probability=&probability insertion=&insertion", - ) - elif randomj == "randomj_exponential": - IJ.run( - image_plus_copy, - "RandomJ Exponential", - "lambda=&lammbda insertion=&insertion", + "Remove Outliers...", + "radius=%s threshold=%s which=%s" % (radius, threshold, which_outliers) ) - elif randomj == "randomj_gamma": - IJ.run(image_plus_copy, "RandomJ Gamma", "order=&order insertion=&insertion") - elif randomj == "randomj_gaussian": - IJ.run( - image_plus_copy, - "RandomJ Gaussian", - "mean=&mean sigma=&sigma insertion=&insertion", - ) - elif randomj == "randomj_poisson": - IJ.run(image_plus_copy, "RandomJ Poisson", "mean=&mean insertion=&insertion") - elif randomj == "randomj_uniform": - IJ.run( - image_plus_copy, "RandomJ Uniform", "min=&min max=&max insertion=&insertion" - ) - + elif noise == "remove_nans": + if is32BITS_GREY: + IJ.run(image_plus_copy, "Remove NaNs...", "") + else: + raise Exception("Remove NaNs can only be applied to 32bits grey images.") + elif noise == "rof_denoise": + if is32BITS_GREY: + IJ.run(image_plus_copy, "ROF Denoise", "") + else: + raise Exception("ROF Denoise can only be applied to 32bits grey images.") +except Exception as e: + # This is due to some operations like remove_outliers and despeckle which block the script + print(e) + exit(1) # Save the ImagePlus object as a new image. IJ.saveAs(image_plus_copy, image_datatype, tmp_output_path) +# This is due to some operations like remove_outliers and despeckle which block the script +exit(0) |
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diff -r 49e29abe0fce -r 418b1fa32b83 imagej2_shadows_jython_script.py --- a/imagej2_shadows_jython_script.py Sun Nov 05 10:49:30 2023 +0000 +++ b/imagej2_shadows_jython_script.py Wed Sep 25 16:08:08 2024 +0000 |
[ |
@@ -4,7 +4,6 @@ # Fiji Jython interpreter implements Python 2.5 which does not # provide support for argparse. -error_log = sys.argv[-5] input_file = sys.argv[-4] direction = sys.argv[-3] tmp_output_path = sys.argv[-2] |
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diff -r 49e29abe0fce -r 418b1fa32b83 imagej2_sharpen.xml --- a/imagej2_sharpen.xml Sun Nov 05 10:49:30 2023 +0000 +++ b/imagej2_sharpen.xml Wed Sep 25 16:08:08 2024 +0000 |
[ |
@@ -1,4 +1,4 @@ -<tool id="imagej2_sharpen" name="Sharpen" version="@WRAPPER_VERSION@.1"> +<tool id="imagej2_sharpen" name="Sharpen" version="@TOOL_VERSION@+galaxy@VERSION_SUFFIX@" profile="23.0"> <description>with ImageJ2</description> <macros> <import>imagej2_macros.xml</import> @@ -13,25 +13,17 @@ <expand macro="fiji_requirements"/> <command detect_errors="exit_code"><![CDATA[ #import os -#set error_log = 'output_log.txt' -touch '$error_log' && #set input_sans_ext = $os.path.splitext($os.path.basename($input.file_name))[0] -#set input_with_ext = '.'.join([input_sans_ext, $input.ext]) +#set input_with_ext = './' + '.'.join([input_sans_ext, $input.ext]) ln -s '$input.file_name' '$input_with_ext' && #set output_filename = '.'.join(['output', $input.ext]) touch '$output_filename' && ImageJ --ij2 --headless --debug --jython '$__tool_directory__/imagej2_sharpen_jython_script.py' -'$error_log' '$input_with_ext' '$output_filename' '$input.ext' -&>'$error_log'; -if [[ $? -ne 0 ]]; then - cat '$error_log' >&2; -else - mv '$output_filename' '$output'; -fi +&& mv '$output_filename' '$output'; ]]></command> <inputs> <expand macro="param_input"/> @@ -42,7 +34,7 @@ <tests> <test> <param name="input" value="blobs.gif"/> - <output name="output" file="blobs_sharpen.gif" compare="sim_size"/> + <output name="output" file="blobs_sharpen.gif" compare="image_diff"/> </test> </tests> <help> |
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diff -r 49e29abe0fce -r 418b1fa32b83 imagej2_sharpen_jython_script.py --- a/imagej2_sharpen_jython_script.py Sun Nov 05 10:49:30 2023 +0000 +++ b/imagej2_sharpen_jython_script.py Wed Sep 25 16:08:08 2024 +0000 |
[ |
@@ -4,7 +4,6 @@ # Fiji Jython interpreter implements Python 2.5 which does not # provide support for argparse. -error_log = sys.argv[-4] input_file = sys.argv[-3] tmp_output_path = sys.argv[-2] output_datatype = sys.argv[-1] |
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diff -r 49e29abe0fce -r 418b1fa32b83 imagej2_skeletonize3d_jython_script.py --- a/imagej2_skeletonize3d_jython_script.py Sun Nov 05 10:49:30 2023 +0000 +++ b/imagej2_skeletonize3d_jython_script.py Wed Sep 25 16:08:08 2024 +0000 |
[ |
@@ -4,7 +4,6 @@ # Fiji Jython interpreter implements Python 2.5 which does not # provide support for argparse. -error_log = sys.argv[-5] input_file = sys.argv[-4] black_background = sys.argv[-3] == "yes" tmp_output_path = sys.argv[-2] |
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diff -r 49e29abe0fce -r 418b1fa32b83 imagej2_smooth_jython_script.py --- a/imagej2_smooth_jython_script.py Sun Nov 05 10:49:30 2023 +0000 +++ b/imagej2_smooth_jython_script.py Wed Sep 25 16:08:08 2024 +0000 |
[ |
@@ -4,7 +4,6 @@ # Fiji Jython interpreter implements Python 2.5 which does not # provide support for argparse. -error_log = sys.argv[-4] input = sys.argv[-3] tmp_output_path = sys.argv[-2] output_datatype = sys.argv[-1] |
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diff -r 49e29abe0fce -r 418b1fa32b83 imagej2_watershed_binary_jython_script.py --- a/imagej2_watershed_binary_jython_script.py Sun Nov 05 10:49:30 2023 +0000 +++ b/imagej2_watershed_binary_jython_script.py Wed Sep 25 16:08:08 2024 +0000 |
[ |
@@ -4,7 +4,6 @@ # Fiji Jython interpreter implements Python 2.5 which does not # provide support for argparse. -error_log = sys.argv[-5] input = sys.argv[-4] black_background = sys.argv[-3] == "yes" tmp_output_path = sys.argv[-2] @@ -30,7 +29,7 @@ IJ.run(input_image_plus_copy, "Make Binary", "") # Run the command. -IJ.run(input_image_plus_copy, "Watershed", "") +IJ.run(input_image_plus_copy, "Watershed", "stack") # Save the ImagePlus object as a new image. IJ.saveAs(input_image_plus_copy, output_datatype, tmp_output_path) |
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diff -r 49e29abe0fce -r 418b1fa32b83 test-data/add_specified_noise.gif |
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diff -r 49e29abe0fce -r 418b1fa32b83 test-data/analyze_particles_bareoutlines.gif |
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diff -r 49e29abe0fce -r 418b1fa32b83 test-data/analyze_particles_rois.tabular --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/analyze_particles_rois.tabular Wed Sep 25 16:08:08 2024 +0000 |
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diff -r 49e29abe0fce -r 418b1fa32b83 test-data/composed_raw_elastic_transformation_full.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/composed_raw_elastic_transformation_full.txt Wed Sep 25 16:08:08 2024 +0000 |
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diff -r 49e29abe0fce -r 418b1fa32b83 test-data/composed_raw_transformation_full.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/composed_raw_transformation_full.txt Wed Sep 25 16:08:08 2024 +0000 |
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diff -r 49e29abe0fce -r 418b1fa32b83 test-data/confocal_analyze_particles.tabular --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/confocal_analyze_particles.tabular Wed Sep 25 16:08:08 2024 +0000 |
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diff -r 49e29abe0fce -r 418b1fa32b83 test-data/confocal_analyze_particles_rois.tabular --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/confocal_analyze_particles_rois.tabular Wed Sep 25 16:08:08 2024 +0000 |
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diff -r 49e29abe0fce -r 418b1fa32b83 test-data/raw_transformation_full.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/raw_transformation_full.txt Wed Sep 25 16:08:08 2024 +0000 |
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diff -r 49e29abe0fce -r 418b1fa32b83 test-data/regenerate_outputs.sh --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/regenerate_outputs.sh Wed Sep 25 16:08:08 2024 +0000 |
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b"@@ -0,0 +1,204 @@\n+source $(dirname $(dirname $(which conda)))/etc/profile.d/conda.sh\n+conda_env=mulled-v1-9e9e3735532d83dd44ff0f622055395263f964e81ca8113d4dfa7e133e3156bf\n+conda activate $conda_env\n+# Adjust threshold\n+# Test 1\n+ImageJ --ij2 --headless --debug --jython 'tools/image_processing/imagej2/imagej2_adjust_threshold_binary_jython_script.py' 'tools/image_processing/imagej2/test-data/blobs.gif' 0.0 255.0 'Default' 'red' 'no' 'tools/image_processing/imagej2/test-data/blobs_threshold_default.gif' 'gif'\n+# Test 2\n+ImageJ --ij2 --headless --debug --jython 'tools/image_processing/imagej2/imagej2_adjust_threshold_binary_jython_script.py' 'tools/image_processing/imagej2/test-data/blobs.gif' 0.0 255.0 'Percentile' 'over_under' 'no' 'tools/image_processing/imagej2/test-data/blobs_threshold_percentile.gif' 'gif'\n+# Test 3\n+ImageJ --ij2 --headless --debug --jython 'tools/image_processing/imagej2/imagej2_adjust_threshold_binary_jython_script.py' 'tools/image_processing/imagej2/test-data/blobs.gif' 0.0 255.0 'Huang' 'bw' 'yes' 'tools/image_processing/imagej2/test-data/blobs_threshold_huang_dark.gif' 'gif'\n+# Test 4\n+ImageJ --ij2 --headless --debug --jython 'tools/image_processing/imagej2/imagej2_adjust_threshold_binary_jython_script.py' 'tools/image_processing/imagej2/test-data/blobs.gif' 8.0 255.0 'Manual' 'bw' 'no' 'tools/image_processing/imagej2/test-data/blobs_threshold_8-255.gif' 'gif'\n+# Test 5\n+ImageJ --ij2 --headless --debug --jython 'tools/image_processing/imagej2/imagej2_adjust_threshold_binary_jython_script.py' 'tools/image_processing/imagej2/test-data/blobs.gif' 0.0 8.0 'Manual' 'bw' 'no' 'tools/image_processing/imagej2/test-data/blobs_threshold_0-8.gif' 'gif'\n+# Test 6\n+ImageJ --ij2 --headless --debug --jython 'tools/image_processing/imagej2/imagej2_adjust_threshold_binary_jython_script.py' 'tools/image_processing/imagej2/test-data/confocal-series-first-channel.tif' 0.0 255.0 'Default' 'bw' 'yes' 'tools/image_processing/imagej2/test-data/confocal-series-first-channel_threshold_default.tiff' 'tiff'\n+\n+\n+# Analyze particles\n+# Test 1\n+ImageJ --ij2 --headless --debug --jython 'tools/image_processing/imagej2/imagej2_analyze_particles_binary_jython_script.py' '' 'tools/image_processing/imagej2/test-data/blobs.gif' 'no' '0-Infinity' 0.0 1.0 'Nothing' 'yes' 'no' 'no' '' '' 'tools/image_processing/imagej2/test-data/analyze_particles_nothing.tabular'\n+# Test 2\n+ImageJ --ij2 --headless --debug --jython 'tools/image_processing/imagej2/imagej2_analyze_particles_binary_jython_script.py' '' 'tools/image_processing/imagej2/test-data/blobs.gif' 'no' '0-Infinity' 0.0 1.0 'Outlines' 'no' 'no' 'no' 'tools/image_processing/imagej2/test-data/analyze_particles_outlines.gif' 'gif' ''\n+# Test 3\n+ImageJ --ij2 --headless --debug --jython 'tools/image_processing/imagej2/imagej2_analyze_particles_binary_jython_script.py' '' 'tools/image_processing/imagej2/test-data/blobs.gif' 'no' '0-Infinity' 0.0 1.0 'Bare_Outlines' 'no' 'yes' 'yes' 'tools/image_processing/imagej2/test-data/analyze_particles_bareoutlines.gif' 'gif' ''\n+# Test 4\n+ImageJ --ij2 --headless --debug --jython 'tools/image_processing/imagej2/imagej2_analyze_particles_binary_jython_script.py' 'tools/image_processing/imagej2/test-data/analyze_particles_rois.tabular' 'tools/image_processing/imagej2/test-data/blobs.gif' 'no' '0-Infinity' 0.0 1.0 'Overlay_Masks' 'yes' 'no' 'no' 'tools/image_processing/imagej2/test-data/analyze_particles_overlaymasks.gif' 'gif' 'tools/image_processing/imagej2/test-data/analyze_particles_nothing.tabular'\n+# Test 5\n+ImageJ --ij2 --headless --debug --jython 'tools/image_processing/imagej2/imagej2_analyze_particles_binary_jython_script.py' 'tools/image_processing/imagej2/test-data/confocal_analyze_particles_rois.tabular' 'tools/image_processing/imagej2/test-data/confocal-series-first-channel_threshold_default.tiff' 'yes' '0-Infinity' 0.0 1.0 'Overlay_Masks' 'yes' 'no' 'no' 'tools/image_processing/imagej2/test-data/confocal-series-first-channel_threshold_default_"..b"imagej2/imagej2_math_jython_script.py' 'tools/image_processing/imagej2/test-data/blobs.gif' 'Min' 'None' 'None' 255.0 'tools/image_processing/imagej2/test-data/blobs_min.gif' 'gif'\n+# Test 3\n+ImageJ --ij2 --headless --debug --jython 'tools/image_processing/imagej2/imagej2_math_jython_script.py' 'tools/image_processing/imagej2/test-data/blobs.gif' 'Log' 'None' 'None' 'None' 'tools/image_processing/imagej2/test-data/blobs_log.gif' 'gif'\n+# Test 4\n+ImageJ --ij2 --headless --debug --jython 'tools/image_processing/imagej2/imagej2_math_jython_script.py' 'tools/image_processing/imagej2/test-data/blobs.gif' 'Square' 'None' 'None' 'None' 'tools/image_processing/imagej2/test-data/blobs_square.gif' 'gif'\n+# Test 5\n+ImageJ --ij2 --headless --debug --jython 'tools/image_processing/imagej2/imagej2_math_jython_script.py' 'tools/image_processing/imagej2/test-data/blobs.gif' 'Macro' 'v=v+50*sin(d/17)' 'None' 'None' 'tools/image_processing/imagej2/test-data/blobs_macro.gif' 'gif'\n+\n+# Noise\n+# Test 1\n+ImageJ --ij2 --headless --debug --jython 'tools/image_processing/imagej2/imagej2_noise_jython_script.py' 'tools/image_processing/imagej2/test-data/blobs.gif' 'gif' 'add_specified_noise' 5.0 'None' 'None' 'None' 'tools/image_processing/imagej2/test-data/add_specified_noise.gif'\n+# Test 2\n+ImageJ --ij2 --headless --debug --jython 'tools/image_processing/imagej2/imagej2_noise_jython_script.py' 'tools/image_processing/imagej2/test-data/blobs.gif' 'gif' 'despeckle' 'None' 'None' 'None' 'None' 'tools/image_processing/imagej2/test-data/despeckle.gif'\n+# Test 3\n+ImageJ --ij2 --headless --debug --jython 'tools/image_processing/imagej2/imagej2_noise_jython_script.py' 'tools/image_processing/imagej2/test-data/blobs.gif' 'gif' 'remove_outliers' 'None' '10.0' '1' 'Bright' 'tools/image_processing/imagej2/test-data/remove_outliers.gif'\n+# Test 4 fails\n+ImageJ --ij2 --headless --debug --jython 'tools/image_processing/imagej2/imagej2_noise_jython_script.py' 'tools/image_processing/imagej2/test-data/blobs.gif' 'gif' 'remove_nans' 'None' 'None' 'None' 'None' 'tools/image_processing/imagej2/test-data/remove_nans.gif'\n+\n+# Shadows\n+ImageJ --ij2 --headless --debug --jython 'tools/image_processing/imagej2/imagej2_shadows_jython_script.py' 'tools/image_processing/imagej2/test-data/blobs.gif' 'Northwest' 'tools/image_processing/imagej2/test-data/blobs_northwest.gif' 'gif'\n+\n+# Sharpen\n+ImageJ --ij2 --headless --debug --jython 'tools/image_processing/imagej2/imagej2_sharpen_jython_script.py' 'tools/image_processing/imagej2/test-data/blobs.gif' 'tools/image_processing/imagej2/test-data/blobs_sharpen.gif' 'gif'\n+\n+# Skeletonized 3D\n+# Test 1\n+ImageJ --ij2 --headless --debug --jython 'tools/image_processing/imagej2/imagej2_skeletonize3d_jython_script.py' 'tools/image_processing/imagej2/test-data/blobs.gif' 'no' 'tools/image_processing/imagej2/test-data/skeletonized_blobs.gif' 'gif'\n+# Test 2\n+ImageJ --ij2 --headless --debug --jython 'tools/image_processing/imagej2/imagej2_skeletonize3d_jython_script.py' 'tools/image_processing/imagej2/test-data/clown.jpg' 'no' 'tools/image_processing/imagej2/test-data/skeletonized_clown.jpg' 'jpg'\n+\n+# Smooth\n+ImageJ --ij2 --headless --debug --jython 'tools/image_processing/imagej2/imagej2_smooth_jython_script.py' 'tools/image_processing/imagej2/test-data/blobs.gif' 'tools/image_processing/imagej2/test-data/blobs_smooth.gif' 'gif'\n+\n+# Watershed\n+# Test 1\n+ImageJ --ij2 --headless --debug --jython 'tools/image_processing/imagej2/imagej2_watershed_binary_jython_script.py' 'tools/image_processing/imagej2/test-data/blobs.gif' 'no' 'tools/image_processing/imagej2/test-data/blobs_watershed_binary.gif' 'gif'\n+# Test 2\n+ImageJ --ij2 --headless --debug --jython 'tools/image_processing/imagej2/imagej2_watershed_binary_jython_script.py' 'tools/image_processing/imagej2/test-data/confocal-series-first-channel_threshold_default.tiff' 'yes' 'tools/image_processing/imagej2/test-data/confocal-series-first-channel_default_threshold_watershed.tiff' 'tiff'\n" |
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diff -r 49e29abe0fce -r 418b1fa32b83 test-data/shortest_branch_all_yes.tabular --- a/test-data/shortest_branch_all_yes.tabular Sun Nov 05 10:49:30 2023 +0000 +++ b/test-data/shortest_branch_all_yes.tabular Wed Sep 25 16:08:08 2024 +0000 |
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@@ -2,7 +2,7 @@ 1 0 2 0 1 2.414 0 0 2.414 2.414 1 59 0 1 0 2 0 0 1.000 0 0 1.000 1.000 4 91 0 0 0 1 0 0 0.000 0 0 0.000 0.000 5 43 0 -143 75 40 144 918 9.176 61 9 96.113 277.930 161 0 0 +143 75 40 144 918 9.873 61 9 96.113 277.930 161 0 0 0 0 1 0 0 0.000 0 0 0.000 0.000 5 80 0 0 0 1 0 0 0.000 0 0 0.000 0.000 6 53 0 0 0 1 0 0 0.000 0 0 0.000 0.000 6 67 0 @@ -18,7 +18,7 @@ 1 0 2 0 3 4.414 0 0 4.414 4.414 38 91 0 0 0 1 0 0 0.000 0 0 0.000 0.000 39 88 0 1 0 2 0 3 5.657 0 0 5.657 5.657 49 111 0 -5 2 4 2 97 23.182 2 0 58.385 100.770 92 174 0 +5 2 4 2 97 23.382 2 0 58.385 100.770 92 174 0 0 0 1 0 0 0.000 0 0 0.000 0.000 65 31 0 0 0 1 0 0 0.000 0 0 0.000 0.000 66 175 0 1 0 2 0 4 5.828 0 0 5.828 5.828 88 42 0 @@ -27,15 +27,15 @@ 0 0 1 0 0 0.000 0 0 0.000 0.000 95 44 0 1 0 2 0 0 1.000 0 0 1.000 1.000 105 14 0 0 0 1 0 0 0.000 0 0 0.000 0.000 104 20 0 -262 117 105 266 957 5.803 65 37 34.142 352.779 279 50 0 -96 43 31 104 373 6.437 25 11 34.142 212.675 192 110 0 +262 117 105 266 957 6.493 65 37 34.142 352.779 279 50 0 +96 43 31 104 373 7.278 25 11 36.971 212.675 192 110 0 0 0 1 0 0 0.000 0 0 0.000 0.000 121 35 0 0 0 1 0 0 0.000 0 0 0.000 0.000 132 54 0 1 0 2 0 0 1.000 0 0 1.000 1.000 135 53 0 0 0 1 0 0 0.000 0 0 0.000 0.000 138 116 0 0 0 1 0 0 0.000 0 0 0.000 0.000 138 124 0 -22 11 10 24 151 9.834 10 1 20.728 116.633 207 123 0 -5 2 4 2 44 12.285 2 0 26.799 52.184 176 174 0 +22 11 10 24 151 10.374 10 1 20.728 116.633 207 123 0 +5 2 4 2 44 12.568 2 0 26.799 52.184 176 174 0 0 0 1 0 0 0.000 0 0 0.000 0.000 156 54 0 0 0 1 0 0 0.000 0 0 0.000 0.000 162 61 0 0 0 1 0 0 0.000 0 0 0.000 0.000 163 56 0 @@ -150,7 +150,7 @@ 0 0 1 0 0 0.000 0 0 0.000 0.000 287 108 0 1 0 2 0 1 2.414 0 0 2.414 2.414 289 122 0 0 0 1 0 0 0.000 0 0 0.000 0.000 287 134 0 -13 6 8 10 55 5.956 6 0 20.899 68.184 309 78 0 +13 6 8 10 55 6.590 6 0 20.899 68.184 309 78 0 0 0 1 0 0 0.000 0 0 0.000 0.000 288 69 0 0 0 1 0 0 0.000 0 0 0.000 0.000 288 75 0 1 0 2 0 0 1.000 0 0 1.000 1.000 288 92 0 |
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diff -r 49e29abe0fce -r 418b1fa32b83 test-data/shortest_branch_basic.tabular --- a/test-data/shortest_branch_basic.tabular Sun Nov 05 10:49:30 2023 +0000 +++ b/test-data/shortest_branch_basic.tabular Wed Sep 25 16:08:08 2024 +0000 |
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@@ -2,7 +2,7 @@ 1 0 2 0 1 2.414 0 0 2.414 1 0 2 0 0 1.000 0 0 1.000 0 0 1 0 0 0.000 0 0 0.000 -143 75 40 144 918 9.176 61 9 96.113 +143 75 40 144 918 9.873 61 9 96.113 0 0 1 0 0 0.000 0 0 0.000 0 0 1 0 0 0.000 0 0 0.000 0 0 1 0 0 0.000 0 0 0.000 @@ -18,7 +18,7 @@ 1 0 2 0 3 4.414 0 0 4.414 0 0 1 0 0 0.000 0 0 0.000 1 0 2 0 3 5.657 0 0 5.657 -5 2 4 2 97 23.182 2 0 58.385 +5 2 4 2 97 23.382 2 0 58.385 0 0 1 0 0 0.000 0 0 0.000 0 0 1 0 0 0.000 0 0 0.000 1 0 2 0 4 5.828 0 0 5.828 @@ -27,15 +27,15 @@ 0 0 1 0 0 0.000 0 0 0.000 1 0 2 0 0 1.000 0 0 1.000 0 0 1 0 0 0.000 0 0 0.000 -262 117 105 266 957 5.803 65 37 34.142 -96 43 31 104 373 6.437 25 11 34.142 +262 117 105 266 957 6.493 65 37 34.142 +96 43 31 104 373 7.278 25 11 36.971 0 0 1 0 0 0.000 0 0 0.000 0 0 1 0 0 0.000 0 0 0.000 1 0 2 0 0 1.000 0 0 1.000 0 0 1 0 0 0.000 0 0 0.000 0 0 1 0 0 0.000 0 0 0.000 -22 11 10 24 151 9.834 10 1 20.728 -5 2 4 2 44 12.285 2 0 26.799 +22 11 10 24 151 10.374 10 1 20.728 +5 2 4 2 44 12.568 2 0 26.799 0 0 1 0 0 0.000 0 0 0.000 0 0 1 0 0 0.000 0 0 0.000 0 0 1 0 0 0.000 0 0 0.000 @@ -150,7 +150,7 @@ 0 0 1 0 0 0.000 0 0 0.000 1 0 2 0 1 2.414 0 0 2.414 0 0 1 0 0 0.000 0 0 0.000 -13 6 8 10 55 5.956 6 0 20.899 +13 6 8 10 55 6.590 6 0 20.899 0 0 1 0 0 0.000 0 0 0.000 0 0 1 0 0 0.000 0 0 0.000 1 0 2 0 0 1.000 0 0 1.000 |
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diff -r 49e29abe0fce -r 418b1fa32b83 test-data/source_elastic_transformation_forced1cpu_out_full.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/source_elastic_transformation_forced1cpu_out_full.txt Wed Sep 25 16:08:08 2024 +0000 |
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@@ -0,0 +1,19 @@ +Intervals=4 + +X Coeffs ----------------------------------- + -54.0016323325568 -24.55313914003933 9.998378808715369 46.75364792905647 82.81339463633314 119.65671403007485 158.76270120981096 + -50.83339149878828 -18.681337906130345 37.17883919175264 12.345198999048506 24.77206071041781 97.97412790389771 155.78421869117355 + -27.929816443724082 49.276999890632126 36.1275114393808 14.75760213419734 9.594845999044615 154.04607396012295 222.05804605430535 + -9.439167783998862 37.12324241599431 48.73717535550337 63.59070238727008 6.551668091613555 119.5935291038009 158.64847980599265 + -8.415920987887967 19.182085970213276 89.61484235977517 88.26966501794124 32.788077608672424 132.5037156161929 160.37829930526004 + -31.71446728510298 11.403380281357434 87.1527845269043 41.0061258664103 18.375036656301404 151.3216275398897 162.14248931362886 + -36.33357650876076 -2.997067006070702 24.224980747085667 52.94713777251041 90.78409317136875 128.45213257281344 164.4624484013269 + +Y Coeffs ----------------------------------- + -35.58508171011618 -35.52735570756093 -35.159196828706726 -29.70750167634807 -28.923802662244935 -34.504255822335935 -35.243494145461135 + -1.242192601470532 29.46509876064867 -2.312247460503201 10.484826852565131 18.756383154741464 45.881731350540406 -0.621787824102949 + 30.981455595654854 36.951471554766314 3.9820133989773163 7.976064243908333 -7.830691435689818 41.541448554600954 31.732801175989525 + 58.283948016581554 -22.165321992984115 22.635703622205753 8.955455276732383 16.06491478568108 30.317438854555434 60.33829204610447 + 95.46258300786052 43.02756729709696 14.126605325220126 44.78649034596007 -16.764126369901938 35.95147733367494 96.44151384896905 + 130.87735480918948 195.59287946182124 -3.550292865530671 -7.0509958709770295 110.60475571422396 134.61412452223453 130.93519990666056 + 170.4874708714955 161.78056879140948 149.6874025532559 142.17277360792374 150.66515020927875 162.24110899673795 167.44089341269517 |
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diff -r 49e29abe0fce -r 418b1fa32b83 test-data/source_elastic_transformation_out_full.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/source_elastic_transformation_out_full.txt Wed Sep 25 16:08:08 2024 +0000 |
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@@ -0,0 +1,19 @@ +Intervals=4 + +X Coeffs ----------------------------------- + -37.57669097094904 -3.2271717112514677 30.729561477029474 64.92853072664484 101.26040164233771 134.24138071120504 170.62530571165195 + -36.40440156764347 -5.950917668399802 43.12656676959308 129.82569373508457 79.23025904056314 101.33109010989303 167.76122399799928 + -31.99153804062628 -28.228263165717934 108.82281688201007 135.71408978799562 119.88724905944063 115.66219769238425 162.57204585958897 + -28.76756806285075 -31.072774597932003 149.06671190151698 82.6873796775864 85.83238257129669 102.22408316121394 159.69418492654307 + -31.16195930727015 39.81052685166829 111.01894213555936 50.843519487267514 71.5843384687527 104.97466705130167 163.76405482898355 + -34.99727113400996 51.46458209552406 45.814658605380856 127.80078869884827 61.64396676556593 133.5425482462486 169.78763924597007 + -36.096062903195644 -1.3094687517365522 33.017918855761025 67.2410292328903 101.71479169324449 136.77836848505723 172.7709218565622 + +Y Coeffs ----------------------------------- + -20.613508471150247 -17.30904642115659 -13.074039899257977 -12.82208593159747 -21.466781544318113 -31.576707217758816 -35.7204434322585 + 15.694660075623595 29.090244174855332 99.26325690063715 65.87761638249009 60.80790866211655 7.118793613938786 -2.7030258778256626 + 48.4395231974389 20.580542086433006 123.69933199668453 35.70058582463237 48.91160104418716 49.319772349263886 28.24944770390918 + 79.139639872897 28.260304680883564 39.217991856988554 96.98206627187832 122.99790587109494 81.5469103601955 58.57040400869205 + 112.30429273541326 -31.84451342578042 150.53549831852334 93.43230937892993 105.20787588035367 55.33493688123222 89.69326973226897 + 140.48429880851842 54.844800662935505 136.50939139083195 102.42949280502454 96.70614159439262 152.55152439131024 123.051471570386 + 174.17481704462756 171.41787868079226 167.26939245818923 162.8915210072307 159.44642695832863 158.1150765995069 160.0784362187891 |
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diff -r 49e29abe0fce -r 418b1fa32b83 test-data/target_elastic_transformation_forced1cpu_out_full.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/target_elastic_transformation_forced1cpu_out_full.txt Wed Sep 25 16:08:08 2024 +0000 |
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@@ -0,0 +1,19 @@ +Intervals=4 + +X Coeffs ----------------------------------- + -53.01255704273572 -13.904078412237368 42.28779020312449 49.2241689610889 43.17391161793351 57.12681204296706 93.96096797426937 + -25.399961768058898 78.11666674988406 47.11538040963914 53.34193146612398 48.19823124809444 51.578486863081025 62.97102702637055 + 74.83364233868025 44.94785732629138 52.59528959805901 54.543817794946555 55.63349375544408 54.50269211372439 47.62502458222461 + 33.696803979050756 58.895615990105675 52.374827040837616 52.52362439850934 51.96459926850969 52.12346709150518 53.22425479912784 + 54.024299911223764 50.97110502497963 53.313115679853226 54.079338788140554 53.975969688179475 55.36463923686487 50.69775408987581 + 61.68987727495051 53.368672489805554 53.49515507648402 51.6321049622464 53.937756626103216 47.83395036978562 64.92582731507672 + 44.35275725127058 53.31850095476804 55.39104510610701 55.66877435102513 55.41166434382368 57.831591051064564 153.61852412379244 + +Y Coeffs ----------------------------------- + 18.93646011405667 18.932358073393257 -45.807304697888824 12.943663336359961 -6.327036285964463 -27.325046787074903 -28.68009130761568 + 69.72517425473397 18.951944929866418 -54.51191955826718 12.603632065405728 33.43481269330889 140.609614099701 10.728187982256344 + 132.0711970793583 186.36333833664528 184.49603949633777 187.1901604174391 158.07455291450418 198.26170431915625 69.02399552934537 + 152.52702215817044 151.40906569438428 144.41347160527243 148.75680143207387 154.16175661350192 147.09841734177542 144.8860096284916 + 161.22035237120292 158.6171876686065 166.13338308434305 159.7364739623931 160.15750889578624 161.60800126111627 174.81126607209526 + 162.71033090716813 159.95948678510726 149.08911488413267 159.40987351626924 154.10612131309117 156.49431897610225 143.43506000431748 + 143.12909756515404 143.0695229580525 166.0176933508692 144.57111777572015 160.84062396633618 157.42735871635645 133.65686564157454 |
b |
diff -r 49e29abe0fce -r 418b1fa32b83 test-data/target_elastic_transformation_out_full.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/target_elastic_transformation_out_full.txt Wed Sep 25 16:08:08 2024 +0000 |
b |
@@ -0,0 +1,19 @@ +Intervals=4 + +X Coeffs ----------------------------------- + -2.334540491984048 19.197617253297445 14.143262861788983 39.463628125651084 53.54110718736474 77.63432486663321 122.01213769363304 + 18.940100807668394 9.376702061674932 11.32031302209601 9.081414015093257 -19.34191364999764 24.182277174612462 27.994218490639234 + 39.45486659902765 9.40454198383603 22.230846242507905 -0.002478065318311816 73.57478566130307 58.77280036887933 48.90850943566863 + 17.00000657714807 -23.31776136556256 12.541111571022608 7.2459754632090405 59.934726035072856 30.713987461586505 72.32572780611264 + 33.22276292665229 -13.918601953887327 -34.657944692759926 163.25596555413682 65.69636617127611 -2.7667070647362673 105.81487278594533 + 85.11817751007291 120.33953953049102 81.34418995521429 -66.726377368089 18.860324896215854 34.34945385032887 70.51661433028738 + 36.883847445857576 76.35165890505894 6.516561676315538 -20.970133083731874 125.46655281183332 -2.448523111647684 114.79339566399392 + +Y Coeffs ----------------------------------- +-0.031617394190528676 21.091295827183185 40.99488267737779 133.42310018352737 39.66065981177224 18.453503965110798 18.87752372262639 + 49.43431409316814 119.43278503821342 91.66849730571954 79.91925555046383 106.43225673511903 154.1232341123354 68.50164250154936 + 99.83206171058087 92.97764797169073 103.64352162659048 102.51390748210636 92.4692722023774 -4.7866682215833904 63.31241523442766 + 62.479566052595004 -197.59219058435 99.97143069942541 77.04940775782963 -2.4521487960395176 113.09283045524303 65.44319987491002 + 132.61392700107905 55.19320373443639 259.1024942673179 139.4197212963076 90.08817257816702 111.80227388699566 73.97266542006085 + 126.91904730761814 73.28185948235975 63.29420821019147 75.30231636943734 88.05821426021525 90.02142533584905 52.91310136372895 + 145.9979890111186 108.90056891458975 82.0931937585503 59.42554351667557 132.94210808860396 90.87889944704429 135.03299490189625 |
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diff -r 49e29abe0fce -r 418b1fa32b83 test-data/top_hat2.gif |
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diff -r 49e29abe0fce -r 418b1fa32b83 test-data/unsharp_mask.gif |
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diff -r 49e29abe0fce -r 418b1fa32b83 test-data/warping_index1_full.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/warping_index1_full.txt Wed Sep 25 16:08:08 2024 +0000 |
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@@ -0,0 +1,1 @@ +33.63863677975145 |
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diff -r 49e29abe0fce -r 418b1fa32b83 test-data/warping_index_raw_full.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/warping_index_raw_full.txt Wed Sep 25 16:08:08 2024 +0000 |
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@@ -0,0 +1,1 @@ +66.40622051430596 |