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import numpy as np |
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import pandas as pd |
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import plotly.express as px |
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import plotly.graph_objects as go |
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import plotly.io as pio |
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import os |
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pio.kaleido.scope.mathjax = None |
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import json |
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if __name__ == '__main__': |
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experiments =['Task501_Glacier_front', |
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'Task502_Glacier_zone', |
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'Task503_Glacier_mtl_early', |
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'Task503_Glacier_mtl_late', |
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'Task505_Glacier_mtl_boundary', |
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'Task500_Glacier_zonefronts_nodeep', |
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'Task500_Glacier_zonefronts' |
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] |
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data_dir = '/home/ho11laqe/Desktop/nnUNet_results/Final_Eval/' |
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for metric in ['Precision', 'Recall', 'F1', 'IoU']: |
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zone_metric = {} |
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for experiment in experiments: |
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zone_metric_exp = [] |
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for fold in range(5): |
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results_json_path = os.path.join(data_dir, experiment, 'fold_'+str(fold), 'pngs', 'eval_results.json') |
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if not os.path.exists(results_json_path): |
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results_json_path = os.path.join(data_dir, experiment, 'fold_' + str(fold), 'eval_results.json') |
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with open(results_json_path, 'r') as f: |
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result = json.load(f) |
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if 'Zone_Segmentation' in result.keys(): |
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avg_metric = 'Average_'+metric |
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if metric == 'F1': |
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avg_metric = 'Average_' + metric + ' Score' |
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zone_metric_exp.append(result['Zone_Segmentation']['Zone_'+metric][avg_metric]) |
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else: |
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zone_metric_exp.append(0) |
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zone_metric[experiment] = zone_metric_exp |
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box_width = 0.8 |
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fig = px.box(None, points="all", template="plotly_white", width=700, height=500) |
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fig.add_trace(go.Box(y=zone_metric['Task502_Glacier_zone'], name='Zone<br> STL', width=box_width, |
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line_color='LightBlue ', pointpos=0, boxpoints='all', boxmean=True)) |
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fig.add_trace(go.Box(y=zone_metric['Task503_Glacier_mtl_early'], name='Early Zone <br>MTL', width=box_width, |
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line_color='YellowGreen', pointpos=0, boxpoints='all', boxmean=True,)) |
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fig.add_trace(go.Box(y=zone_metric['Task503_Glacier_mtl_late'], name='Late Zone<br> MTL', width=box_width, |
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line_color='#e1e400', pointpos=0, boxpoints='all', boxmean=True)) |
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fig.add_trace(go.Box(y=zone_metric['Task505_Glacier_mtl_boundary'], name='Boundary<br>Zone MTL', width=box_width, |
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line_color='gold', pointpos=0, boxpoints='all', boxmean=True)) |
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fig.add_trace(go.Box(y=zone_metric['Task500_Glacier_zonefronts'], name='Fused Labels<br>Front', width=box_width, |
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line_color='orange', pointpos=0, boxpoints='all', boxmean=True)) |
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fig.update_layout(showlegend=False, font=dict(family="Times New Roman", size=18)) |
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fig.update_yaxes(title=metric) |
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fig.write_image('output/'+metric+".pdf", format='pdf') |
