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fix train issues with create_dataset_yolo_format.py #14

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fix train issues with create_dataset_yolo_format.py #14

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27 changes: 15 additions & 12 deletions prepare_data/create_dataset_yolo_format.py
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Original file line number Diff line number Diff line change
@@ -1,3 +1,4 @@

import os
import shutil

Expand All @@ -6,19 +7,21 @@

DATA_OUT_DIR = os.path.join('.', 'data')

for set_ in ['train', 'validation', 'test']:
for set_ in ['images', 'labels']:
for dir_ in [os.path.join(DATA_OUT_DIR, set_),
os.path.join(DATA_OUT_DIR, set_, 'imgs'),
os.path.join(DATA_OUT_DIR, set_, 'anns')]:
os.path.join(DATA_OUT_DIR, set_, 'train'),
os.path.join(DATA_OUT_DIR, set_, 'test'),
os.path.join(DATA_OUT_DIR, set_, 'validation')]:
if os.path.exists(dir_):
shutil.rmtree(dir_)
os.mkdir(dir_)

alpaca_id = '/m/0pcr'
Tennis_ball_id = '/m/0pcr'
class_names = 'Alpacha'

train_bboxes_filename = os.path.join('.', 'oidv6-train-annotations-bbox.csv')
validation_bboxes_filename = os.path.join('.', 'validation-annotations-bbox.csv')
test_bboxes_filename = os.path.join('.', 'test-annotations-bbox.csv')
train_bboxes_filename = os.path.join('.', 'data_all/boxes/oidv6-train-annotations-bbox.csv')
validation_bboxes_filename = os.path.join('.', 'data_all/boxes/validation-annotations-bbox.csv')
test_bboxes_filename = os.path.join('.', 'data_all/boxes/test-annotations-bbox.csv')


for j, filename in enumerate([train_bboxes_filename, validation_bboxes_filename, test_bboxes_filename]):
Expand All @@ -28,11 +31,11 @@
line = f.readline()
while len(line) != 0:
id, _, class_name, _, x1, x2, y1, y2, _, _, _, _, _ = line.split(',')[:13]
if class_name in [alpaca_id]:
if not os.path.exists(os.path.join(DATA_OUT_DIR, set_, 'imgs', '{}.jpg'.format(id))):
shutil.copy(os.path.join(DATA_ALL_DIR, '{}.jpg'.format(id)),
os.path.join(DATA_OUT_DIR, set_, 'imgs', '{}.jpg'.format(id)))
with open(os.path.join(DATA_OUT_DIR, set_, 'anns', '{}.txt'.format(id)), 'a') as f_ann:
if class_name in [Tennis_ball_id]:
if not os.path.exists(os.path.join(DATA_OUT_DIR, f'images/{set_}', f'{id}.jpg')):
shutil.copy(os.path.join(DATA_ALL_DIR,set_, class_names,f'{id}.jpg'),
os.path.join(DATA_OUT_DIR, f'images/{set_}', f'{id}.jpg'))
with open(os.path.join(DATA_OUT_DIR, f'labels/{set_}', f'{id}.txt'), 'a') as f_ann:
# class_id, xc, yx, w, h
x1, x2, y1, y2 = [float(j) for j in [x1, x2, y1, y2]]
xc = (x1 + x2) / 2
Expand Down