You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
53 lines
2.2 KiB
53 lines
2.2 KiB
import numpy as np
|
|
import pandas as pd
|
|
|
|
results = {
|
|
'results-imagenet.csv' : pd.read_csv('results-imagenet.csv'),
|
|
'results-imagenetv2-matched-frequency.csv': pd.read_csv('results-imagenetv2-matched-frequency.csv'),
|
|
'results-sketch.csv' : pd.read_csv('results-sketch.csv'),
|
|
'results-imagenet-a.csv' : pd.read_csv('results-imagenet-a.csv'),
|
|
}
|
|
|
|
def diff(csv_file):
|
|
base_models = results['results-imagenet.csv']['model'].values
|
|
csv_models = results[csv_file]['model'].values
|
|
|
|
rank_diff = np.zeros_like(csv_models, dtype='object')
|
|
top1_diff = np.zeros_like(csv_models, dtype='object')
|
|
top5_diff = np.zeros_like(csv_models, dtype='object')
|
|
|
|
for rank, model in enumerate(csv_models):
|
|
if model in base_models:
|
|
base_rank = int(np.where(base_models==model)[0])
|
|
top1_d = results[csv_file]['top1'][rank]-results['results-imagenet.csv']['top1'][base_rank]
|
|
top5_d = results[csv_file]['top5'][rank]-results['results-imagenet.csv']['top5'][base_rank]
|
|
|
|
# rank_diff
|
|
if rank == base_rank: rank_diff[rank] = f'='
|
|
elif rank > base_rank: rank_diff[rank] = f'-{rank-base_rank}'
|
|
else: rank_diff[rank] = f'+{base_rank-rank}'
|
|
|
|
# top1_diff
|
|
if top1_d >= .0: top1_diff[rank] = f'+{top1_d:.3f}'
|
|
else : top1_diff[rank] = f'-{abs(top1_d):.3f}'
|
|
|
|
# top5_diff
|
|
if top5_d >= .0: top5_diff[rank] = f'+{top5_d:.3f}'
|
|
else : top5_diff[rank] = f'-{abs(top5_d):.3f}'
|
|
|
|
else:
|
|
rank_diff[rank] = 'X'
|
|
top1_diff[rank] = 'X'
|
|
top5_diff[rank] = 'X'
|
|
|
|
results[csv_file]['rank_diff'] = rank_diff
|
|
results[csv_file]['top1_diff'] = top1_diff
|
|
results[csv_file]['top5_diff'] = top5_diff
|
|
|
|
results[csv_file]['param_count'] = results[csv_file]['param_count'].map('{:,.2f}'.format)
|
|
|
|
results[csv_file].to_csv(csv_file, index=False, float_format='%.3f')
|
|
|
|
for csv_file in results:
|
|
if csv_file != 'results-imagenet.csv': diff(csv_file)
|