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import numpy as np
import pandas as pd
import plotly.express as px
import plotly.graph_objects as go
import plotly.io as pio
pio.kaleido.scope.mathjax = None
import os
import json
if __name__ == '__main__':
experiments = ['Task501_Glacier_front',
'Task502_Glacier_zone',
'Task503_Glacier_mtl_early',
'Task503_Glacier_mtl_late',
'Task505_Glacier_mtl_boundary',
'Task500_Glacier_zonefronts']
data_dir = '/home/ho11laqe/Desktop/nnUNet_results/Final_Eval/'
zone_mean = {}
front_mean = {}
for experiment in experiments:
print(experiment)
zone_mean_exp = []
front_mean_exp = []
# nofront[experiment] = {'Front': [], 'Zone': []}
for fold in range(5):
# load json file with results
results_json_path = os.path.join(data_dir, experiment, 'fold_' + str(fold), 'pngs',
'eval_results.json')
if not os.path.exists(results_json_path):
results_json_path = os.path.join(data_dir, experiment, 'fold_' + str(fold), 'eval_results.json')
with open(results_json_path, 'r') as f:
result = json.load(f)
if 'Front_Delineation' in result.keys():
front_mean_exp.append(result['Front_Delineation']['Result_all']['mean'])
else:
front_mean_exp.append(0)
if 'Zone_Delineation' in result.keys():
zone_mean_exp.append(result['Zone_Delineation']['Result_all']['mean'])
else:
zone_mean_exp.append(0)
print(np.mean(zone_mean_exp), np.std(zone_mean_exp))
print(np.mean(front_mean_exp), np.std(front_mean_exp))
zone_mean[experiment] = zone_mean_exp
front_mean[experiment] = front_mean_exp
for exp1 in experiments:
for exp2 in experiments:
# FRONT
mean1 = np.mean(front_mean[exp1])
var1 = np.var (front_mean[exp1])
mean2 = np.mean(front_mean[exp2])
var2 = np.var(front_mean[exp2])
T_front = abs(mean1 - mean2) / np.sqrt((var1 / 5) + (var2 / 5))
print(exp1 + '<>' +exp2)
print('Tfront:'+ str(T_front))
# Zone
mean1 = np.mean(zone_mean[exp1])
var1 = np.var(zone_mean[exp1])
mean2 = np.mean(zone_mean[exp2])
var2 = np.var(zone_mean[exp2])
T_zone = abs(mean1 - mean2) / np.sqrt((var1 / 5) + (var2 / 5))
print('Tzone:' + str(T_zone))
print('')
"""
box_width = 0.8
fig = px.box(None, points="all", template="plotly_white", width=600, height=500)
fig.add_trace(go.Box(y=zone_mean['Task502_Glacier_zone'], name='Zone<br> STL', width=box_width,
line_color='black', fillcolor='LightBlue ', pointpos=0, boxpoints='all', boxmean=True))
fig.add_trace(go.Box(y=zone_mean['Task503_Glacier_mtl_early'], name='Early Zone <br>MTL', width=box_width,
line_color='black', fillcolor='YellowGreen', pointpos=0, boxpoints='all',
boxmean=True, ))
fig.add_trace(go.Box(y=zone_mean['Task503_Glacier_mtl_late'], name='Late Zone<br> MTL', width=box_width,
line_color='black', fillcolor='#e1e400', pointpos=0, boxpoints='all', boxmean=True))
fig.add_trace(
go.Box(y=zone_mean['Task505_Glacier_mtl_boundary'], name='Boundary <br>Zone MTL', width=box_width,
line_color='black', fillcolor='gold', pointpos=0, boxpoints='all', boxmean=True))
fig.update_layout(showlegend=False, font=dict(family="Times New Roman", size=18))
fig.update_yaxes(title='Front mean')
# fig.show()
fig.write_image('Front mean' + ".pdf", format='pdf')
""" |