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Update dataset_stats() #3593

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Jun 12, 2021
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Update dataset_stats() #3593

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15 changes: 12 additions & 3 deletions utils/datasets.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2,6 +2,7 @@

import glob
import hashlib
import json
import logging
import math
import os
Expand Down Expand Up @@ -1105,12 +1106,20 @@ def dataset_stats(path='coco128.yaml', autodownload=False, verbose=False):
continue
x = []
dataset = LoadImagesAndLabels(data[split], augment=False, rect=True) # load dataset
if split == 'train':
cache_path = Path(dataset.label_files[0]).parent.with_suffix('.cache') # *.cache path
for label in tqdm(dataset.labels, total=dataset.n, desc='Statistics'):
x.append(np.bincount(label[:, 0].astype(int), minlength=nc))
x = np.array(x) # shape(128x80)
stats[split] = {'instances': {'total': int(x.sum()), 'per_class': x.sum(0).tolist()},
'images': {'total': dataset.n, 'unlabelled': int(np.all(x == 0, 1).sum()),
'per_class': (x > 0).sum(0).tolist()}}
stats[split] = {'instance_stats': {'total': int(x.sum()), 'per_class': x.sum(0).tolist()},
'image_stats': {'total': dataset.n, 'unlabelled': int(np.all(x == 0, 1).sum()),
'per_class': (x > 0).sum(0).tolist()},
'labels': {str(Path(k).name): v.tolist() for k, v in zip(dataset.img_files, dataset.labels)}}

# Save, print and return
with open(cache_path.with_suffix('.json'), 'w') as f:
json.dump(stats, f) # save stats *.json
if verbose:
print(yaml.dump([stats], sort_keys=False, default_flow_style=False))
# print(json.dumps(stats, indent=2, sort_keys=False))
return stats