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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2019-12-15 12:15:56 -08:00
parent 8164b305e5
commit 03b5408e70
1 changed files with 4 additions and 2 deletions
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6
utils/datasets.py
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@ -16,6 +16,7 @@ from tqdm import tqdm
from utils.utils import xyxy2xywh, xywh2xyxy from utils.utils import xyxy2xywh, xywh2xyxy
help_url = 'https://github.com/ultralytics/yolov3/wiki/Train-Custom-Data'
img_formats = ['.bmp', '.jpg', '.jpeg', '.png', '.tif', '.dng'] img_formats = ['.bmp', '.jpg', '.jpeg', '.png', '.tif', '.dng']
vid_formats = ['.mov', '.avi', '.mp4'] vid_formats = ['.mov', '.avi', '.mp4']
@ -258,14 +259,15 @@ 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, def __init__(self, path, img_size=416, batch_size=16, augment=False, hyp=None, rect=False, image_weights=False,
cache_labels=False, cache_images=False): cache_labels=False, cache_images=False):
path = str(Path(path)) # os-agnostic 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: with open(path, 'r') as f:
self.img_files = [x.replace('/', os.sep) for x in f.read().splitlines() # os-agnostic 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] if os.path.splitext(x)[-1].lower() in img_formats]
n = len(self.img_files) n = len(self.img_files)
assert n > 0, 'No images found in %s. See %s' % (path, help_url)
bi = np.floor(np.arange(n) / batch_size).astype(np.int) # batch index bi = np.floor(np.arange(n) / batch_size).astype(np.int) # batch index
nb = bi[-1] + 1 # number of batches nb = bi[-1] + 1 # number of batches
assert n > 0, 'No images found in %s' % path
self.n = n self.n = n
self.batch = bi # batch index of image self.batch = bi # batch index of image
@ -375,7 +377,7 @@ class LoadImagesAndLabels(Dataset): # for training/testing
pbar.desc = 'Caching labels (%g found, %g missing, %g empty, %g duplicate, for %g images)' % ( pbar.desc = 'Caching labels (%g found, %g missing, %g empty, %g duplicate, for %g images)' % (
nf, nm, ne, nd, n) nf, nm, ne, nd, n)
assert nf > 0, 'No labels found. Recommend correcting image and label paths.' assert nf > 0, 'No labels found. See %s' % help_url
# Cache images into memory for faster training (WARNING: Large datasets may exceed system RAM) # Cache images into memory for faster training (WARNING: Large datasets may exceed system RAM)
if cache_images: # if training if cache_images: # if training