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import numpy as np | ||
import os | ||
from IPython.core.display import HTML | ||
from ipywidgets import widgets | ||
from IPython.core.display import display | ||
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from NeuNorm.normalization import Normalization | ||
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from __code.ipywe import fileselector | ||
from __code.ipywe.myfileselector import FileSelectorPanelWithJumpFolders | ||
from __code import utilities, file_handler | ||
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class FromJsonToCsv: | ||
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working_dir = '' | ||
images_ui = None | ||
data = [] | ||
list_file_names = [] | ||
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def __init__(self, working_dir=''): | ||
self.working_dir = working_dir | ||
self.output_folder_ui = None | ||
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def select_images(self): | ||
_instruction = 'Select files to convert' | ||
self.images_ui = fileselector.FileSelectorPanel(instruction=_instruction, | ||
start_dir=self.working_dir, | ||
multiple=True, | ||
filters={"JSON": "*.json"}, | ||
next=self.load) | ||
self.images_ui.show() | ||
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def get_list_images(self): | ||
return self.images_ui.selected | ||
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def load(self, list_json): | ||
print(list_json) | ||
# #list_images = self.get_list_images() | ||
# self.list_file_names = list_images | ||
# self.o_norm = Normalization() | ||
# self.o_norm.load(file=list_images, notebook=True) | ||
# self.data = self.o_norm.data['sample']['data'] | ||
# self.__calculate_image_dimension() | ||
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def __calculate_image_dimension(self): | ||
_image_0 = self.data[0] | ||
[self.image_dimension['height'], self.image_dimension['width']] = np.shape(_image_0) | ||
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def __bin_parameter_changed(self, sender): | ||
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new_width_bin = int(self.bin_width_para.value) | ||
self.bin_width_value = new_width_bin | ||
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new_height_bin = int(self.bin_height_para.value) | ||
self.bin_height_value = new_height_bin | ||
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old_width = self.image_dimension['width'] | ||
old_height = self.image_dimension['height'] | ||
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new_width = int(old_width / new_width_bin) | ||
new_height = int(old_height / new_height_bin) | ||
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self.right_widgets.children[1].value = "Width: {} pixels".format(new_width) | ||
self.right_widgets.children[2].value = "Height: {} pixels".format(new_height) | ||
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def select_bin_parameter(self): | ||
_width = self.image_dimension['width'] | ||
_height = self.image_dimension['height'] | ||
left_widgets = widgets.VBox([widgets.HTML(value="<b>Current Image Size:</b>", | ||
layout=widgets.Layout(width='250px')), | ||
widgets.Label("Width: {} pixels".format(_width), | ||
layout=widgets.Layout(width='100%')), | ||
widgets.Label("Height: {} pixels".format(_height), | ||
layout=widgets.Layout(width='100%'))]) | ||
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options_list = [str(_) for _ in np.arange(2, 21)] | ||
self.bin_width_para = widgets.Dropdown(options=options_list, | ||
value='2', | ||
description="width:", | ||
continuous_update=False, | ||
layout=widgets.Layout(width='80%')) | ||
self.bin_width_para.observe(self.__bin_parameter_changed) | ||
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self.bin_height_para = widgets.Dropdown(options=options_list, | ||
value='2', | ||
description="height:", | ||
continuous_update=False, | ||
layout=widgets.Layout(width='80%')) | ||
self.bin_height_para.observe(self.__bin_parameter_changed) | ||
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center_widgets = widgets.VBox([widgets.HTML("<b>Bin Parameter:</b>", | ||
layout=widgets.Layout(width='250px')), | ||
self.bin_width_para, | ||
self.bin_height_para]) | ||
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self.right_widgets = widgets.VBox([widgets.HTML("<b>New Image Size:</b>", | ||
layout=widgets.Layout(width='250px')), | ||
widgets.Label("Width: {} pixels".format(250), | ||
layout=widgets.Layout(width='100%')), | ||
widgets.Label("Height: {} pixels".format(250), | ||
layout=widgets.Layout(width='100%'))]) | ||
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self.__bin_parameter_changed(None) | ||
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full_widget = widgets.HBox([left_widgets, | ||
center_widgets, | ||
self.right_widgets]) | ||
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display(full_widget) | ||
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def select_export_folder(self): | ||
self.output_folder_ui = FileSelectorPanelWithJumpFolders(instruction='Select output folder...', | ||
start_dir=self.working_dir, | ||
multiple=False, | ||
next=self.export, | ||
type='directory', | ||
show_jump_to_home=True, | ||
show_jump_to_share=True) | ||
# self.output_folder_ui.show() | ||
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def rebin_data(self, data=[]): | ||
width_bin = self.bin_width_value | ||
height_bin = self.bin_height_value | ||
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height = self.image_dimension['height'] | ||
width = self.image_dimension['width'] | ||
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# checking if last bin size match other bins | ||
new_height = height | ||
_nbr_height_bin = int(np.floor(height / height_bin)) | ||
if not (np.mod(height, height_bin) == 0): | ||
new_height = int(_nbr_height_bin * height_bin) | ||
new_height = int(new_height) | ||
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new_width = width | ||
_nbr_width_bin = int(np.floor(width / width_bin)) | ||
if not (np.mod(width, width_bin) == 0): | ||
new_width = int(_nbr_width_bin * width_bin) | ||
new_width = int(new_width) | ||
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_new_data = data[0: new_height, 0: new_width] | ||
_new_data = _new_data.reshape(_nbr_height_bin, height_bin, _nbr_width_bin, width_bin) | ||
data_rebinned = _new_data.mean(axis=3).mean(axis=1) | ||
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return data_rebinned | ||
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def get_input_folder(self): | ||
list_files = self.list_file_names | ||
_file0 = list_files[0] | ||
full_dir_name = os.path.dirname(_file0) | ||
return os.path.basename(full_dir_name) | ||
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def export(self, output_folder): | ||
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input_folder = self.get_input_folder() | ||
# output_folder = os.path.abspath(os.path.join(self.output_folder_ui.selected, | ||
# "{}_rebin_by_{}".format(input_folder, self.bin_value))) | ||
bin_string = f"{self.bin_height_value}height_{self.bin_width_value}width" | ||
output_folder = os.path.abspath(os.path.join(output_folder, "{}_rebin_by_{}".format(input_folder, bin_string))) | ||
utilities.make_dir(dir=output_folder, overwrite=False) | ||
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w = widgets.IntProgress() | ||
w.max = len(self.list_file_names) | ||
display(w) | ||
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for _index, _file in enumerate(self.list_file_names): | ||
basename = os.path.basename(_file) | ||
_base, _ext = os.path.splitext(basename) | ||
output_file_name = os.path.join(output_folder, _base + '.tiff') | ||
_rebin_data = self.rebin_data(self.data[_index]) | ||
file_handler.make_tiff(filename=output_file_name, data=_rebin_data) | ||
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w.value = _index + 1 | ||
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display(HTML('<span style="font-size: 20px; color:blue">File created in ' + \ | ||
output_folder + '</span>')) |
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{ | ||
"cells": [ | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "849b2e13-92a6-4826-944f-080d5dae98d4", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [] | ||
} | ||
], | ||
"metadata": { | ||
"kernelspec": { | ||
"display_name": "Python 3 (ipykernel)", | ||
"language": "python", | ||
"name": "python3" | ||
}, | ||
"language_info": { | ||
"codemirror_mode": { | ||
"name": "ipython", | ||
"version": 3 | ||
}, | ||
"file_extension": ".py", | ||
"mimetype": "text/x-python", | ||
"name": "python", | ||
"nbconvert_exporter": "python", | ||
"pygments_lexer": "ipython3", | ||
"version": "3.12.1" | ||
} | ||
}, | ||
"nbformat": 4, | ||
"nbformat_minor": 5 | ||
} |
027ad22
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GitLab pipeline with NOTEBOOK_COLLECTION_NAME=IPTS_notebooks_testing submitted for commit "https://code.ornl.gov/sns-hfir-scse/deployments/jupyter-notebooks-deploy/-/pipelines/599981"