updates
This commit is contained in:
parent
7462a95873
commit
68a5f8e207
|
@ -214,11 +214,10 @@ class LoadImagesAndLabels(Dataset): # for training/testing
|
||||||
# Preload labels (required for weighted CE training)
|
# Preload labels (required for weighted CE training)
|
||||||
self.imgs = [None] * n
|
self.imgs = [None] * n
|
||||||
self.labels = [None] * n
|
self.labels = [None] * n
|
||||||
preload_labels = False
|
if augment or image_weights: # cache labels for faster training
|
||||||
if preload_labels or image_weights:
|
|
||||||
self.labels = [np.zeros((0, 5))] * n
|
self.labels = [np.zeros((0, 5))] * n
|
||||||
extract_bounding_boxes = False
|
extract_bounding_boxes = False
|
||||||
for i, file in enumerate(tqdm(self.label_files, desc='Reading labels') if n > 10 else self.label_files):
|
for i, file in enumerate(tqdm(self.label_files, desc='Caching labels')):
|
||||||
try:
|
try:
|
||||||
with open(file, 'r') as f:
|
with open(file, 'r') as f:
|
||||||
l = np.array([x.split() for x in f.read().splitlines()], dtype=np.float32)
|
l = np.array([x.split() for x in f.read().splitlines()], dtype=np.float32)
|
||||||
|
|
Loading…
Reference in New Issue