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car-detection-bayes
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label *.npy saving for faster caching

This commit is contained in:
Glenn Jocher 2020-05-20 21:39:18 -07:00
parent 3ddaf3b63c
commit 2cc2b2cf0d
1 changed files with 6 additions and 6 deletions
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12
utils/datasets.py
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@ -317,16 +317,16 @@ class LoadImagesAndLabels(Dataset): # for training/testing
# Cache labels # Cache labels
self.imgs = [None] * n self.imgs = [None] * n
create_datasubset, extract_bounding_boxes = False, False self.labels = [np.zeros((0, 5), dtype=np.float32)] * n
create_datasubset, extract_bounding_boxes, labels_loaded = False, False, False
nm, nf, ne, ns, nd = 0, 0, 0, 0, 0 # number missing, found, empty, datasubset, duplicate nm, nf, ne, ns, nd = 0, 0, 0, 0, 0 # number missing, found, empty, datasubset, duplicate
np_labels_path = str(Path(self.label_files[0]).parent) + '.npy' # saved labels in *.npy file np_labels_path = str(Path(self.label_files[0]).parent) + '.npy' # saved labels in *.npy file
if os.path.isfile(np_labels_path): if os.path.isfile(np_labels_path):
print('Loading labels from %s' % np_labels_path) print('Loading labels from %s' % np_labels_path)
self.labels = list(np.load(np_labels_path, allow_pickle=True)) x = list(np.load(np_labels_path, allow_pickle=True))
labels_loaded = True if len(x) == n:
else: self.labels = x
self.labels = [np.zeros((0, 5), dtype=np.float32)] * n labels_loaded = True
labels_loaded = False
pbar = tqdm(self.label_files, desc='Caching labels') pbar = tqdm(self.label_files, desc='Caching labels')
for i, file in enumerate(pbar): for i, file in enumerate(pbar):