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import os
import json
import shutil
import numpy as np
dir = 'annotations'
excluded = [
'task_2021-03-01_09',
'task_2021-03-01_10',
'task_20210526_UPS',
'task_20210611_Lab',
'task_20210612_1_Lab',
'task_20210705-07_balacet',
'task_20211204_Orlu',
'task_21-01-2021',
]
def iter_files(path, callback):
if os.path.isfile(path):
callback(path)
elif os.path.isdir(path):
for entry in os.scandir(path):
iter_files(entry.path, callback)
def merge_files(path):
global merged
for name in excluded:
if name in path:
return
with open(path, 'r') as f:
data = json.load(f)
merged = merged | data
n_images = [10, 20, 50, 100, 250, 500]
for i, n in enumerate(n_images):
merged = {}
counts = {}
with open('annotations/iNatv1.json', 'r') as f:
data = json.load(f)
items = list(data.items())
np.random.shuffle(items)
for key, value in items:
to_add = True
for box in value['boxes']:
if box['label'] in counts and counts[box['label']] >= n:
to_add = False
break
if to_add:
merged[key] = value
for box in value['boxes']:
counts[box['label']] = counts.get(box['label'], 0) + 1
with open(f'sets/DS9.{i}_train.json', 'w') as f:
json.dump(merged, f)
shutil.copyfile('sets/DS8_val.json', f'sets/DS9.{i}_val.json')
shutil.copyfile('sets/DS8_test.json', f'sets/DS9.{i}_test.json')
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