caching introspection update

This commit is contained in:
Glenn Jocher 2020-05-22 16:06:21 -07:00
parent 4879fd22e9
commit 16ea613628
1 changed files with 12 additions and 7 deletions

View File

@ -258,11 +258,16 @@ class LoadStreams: # multiple IP or RTSP cameras
class LoadImagesAndLabels(Dataset): # for training/testing
def __init__(self, path, img_size=416, batch_size=16, augment=False, hyp=None, rect=False, image_weights=False,
cache_images=False, single_cls=False):
path = str(Path(path)) # os-agnostic
assert os.path.isfile(path), 'File not found %s. See %s' % (path, help_url)
with open(path, 'r') as f:
self.img_files = [x.replace('/', os.sep) for x in f.read().splitlines() # os-agnostic
if os.path.splitext(x)[-1].lower() in img_formats]
try:
path = str(Path(path)) # os-agnostic
if os.path.isfile(path): # file
with open(path, 'r') as f:
f = f.read().splitlines()
elif os.path.isdir(path): # folder
f = glob.iglob(path + os.sep + '*.*')
self.img_files = [x.replace('/', os.sep) for x in f if os.path.splitext(x)[-1].lower() in img_formats]
except:
raise Exception('Error loading data from %s. See %s' % (path, help_url))
n = len(self.img_files)
assert n > 0, 'No images found in %s. See %s' % (path, help_url)
@ -387,8 +392,8 @@ class LoadImagesAndLabels(Dataset): # for training/testing
ne += 1 # print('empty labels for image %s' % self.img_files[i]) # file empty
# os.system("rm '%s' '%s'" % (self.img_files[i], self.label_files[i])) # remove
pbar.desc = 'Caching labels (%g found, %g missing, %g empty, %g duplicate, for %g images)' % (
nf, nm, ne, nd, n)
pbar.desc = 'Caching labels %s (%g found, %g missing, %g empty, %g duplicate, for %g images)' % (
s, nf, nm, ne, nd, n)
assert nf > 0, 'No labels found in %s. See %s' % (os.path.dirname(file) + os.sep, help_url)
if not labels_loaded:
print('Saving labels to %s for faster future loading' % np_labels_path)