52 lines
2.1 KiB
Python
52 lines
2.1 KiB
Python
import os
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import pickle
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from PIL import Image
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from stack3d.study.components import StudyData, MouseData, TimepointData
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def merge_plots(work_dir, study_collection):
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for eachStudy in study_collection:
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print "Merging Study: ", eachStudy.raw_data_path
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study_dir = work_dir + "/" + eachStudy.raw_data_path
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for eachMouse in eachStudy.mice:
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print "Merging Mouse: ", eachMouse.raw_data_path
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mouse_dir = study_dir + "/" + eachMouse.raw_data_path
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image_paths = []
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for eachTimePoint in eachMouse.timepoints:
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time_dir = mouse_dir + "/" + eachTimePoint.raw_data_path
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base_path = "/analysis_analysis/plots/vessels/diameterPlot.png"
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if os.path.isfile(time_dir + base_path):
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image_paths.append(time_dir + base_path)
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images = map(Image.open, image_paths)
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merge_path = mouse_dir + "/timeline_diameterPlot.jpg"
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merge_axis = 0
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print "Merging plots to: ", merge_path
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if len(images) > 0:
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widths, heights = zip(*(i.size for i in images))
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if merge_axis == 0:
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total_width = sum(widths)
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max_height = max(heights)
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new_im = Image.new('RGB', (total_width, max_height))
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x_offset = 0
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for im in images:
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new_im.paste(im, (x_offset, 0))
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x_offset += im.size[0]
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new_im.save(merge_path, optimize=True, quality=5)
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else:
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max_width = max(widths)
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total_height = sum(heights)
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new_im = Image.new('RGB', (max_width, total_height))
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y_offset = 0
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for im in images:
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new_im.paste(im, (0, y_offset))
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y_offset += im.size[1]
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new_im.save(merge_path, optimize=True, quality=5)
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work_dir = "/scratch/jgrogan/stack-working/study/"
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f = open(work_dir + "/study_collection.p", 'r')
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study_collection = pickle.load(f)
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merge_plots(work_dir, study_collection)
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