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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
import os
pio.kaleido.scope.mathjax = None
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_nodeep',
'Task500_Glacier_zonefronts'
]
data_dir = '/home/ho11laqe/Desktop/nnUNet_results/Final_Eval/'
for metric in ['Precision', 'Recall', 'F1', 'IoU']:
zone_metric = {}
for experiment in experiments:
zone_metric_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 'Zone_Segmentation' in result.keys():
avg_metric = 'Average_'+metric
if metric == 'F1':
avg_metric = 'Average_' + metric + ' Score'
zone_metric_exp.append(result['Zone_Segmentation']['Zone_'+metric][avg_metric])
else:
zone_metric_exp.append(0)
zone_metric[experiment] = zone_metric_exp
box_width = 0.8
fig = px.box(None, points="all", template="plotly_white", width=700, height=500)
fig.add_trace(go.Box(y=zone_metric['Task502_Glacier_zone'], name='Zone<br> STL', width=box_width,
line_color='LightBlue ', pointpos=0, boxpoints='all', boxmean=True))
fig.add_trace(go.Box(y=zone_metric['Task503_Glacier_mtl_early'], name='Early Zone <br>MTL', width=box_width,
line_color='YellowGreen', pointpos=0, boxpoints='all', boxmean=True,))
fig.add_trace(go.Box(y=zone_metric['Task503_Glacier_mtl_late'], name='Late Zone<br> MTL', width=box_width,
line_color='#e1e400', pointpos=0, boxpoints='all', boxmean=True))
fig.add_trace(go.Box(y=zone_metric['Task505_Glacier_mtl_boundary'], name='Boundary<br>Zone MTL', width=box_width,
line_color='gold', pointpos=0, boxpoints='all', boxmean=True))
fig.add_trace(go.Box(y=zone_metric['Task500_Glacier_zonefronts'], name='Fused Labels<br>Front', width=box_width,
line_color='orange', pointpos=0, boxpoints='all', boxmean=True))
fig.update_layout(showlegend=False, font=dict(family="Times New Roman", size=18))
fig.update_yaxes(title=metric)
# fig.show()
fig.write_image('output/'+metric+".pdf", format='pdf') |