Bienqq
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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2019-06-25 11:45:38 +02:00
parent 6b222df35d
commit 2244c72a1b
1 changed files with 39 additions and 33 deletions
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14
utils/datasets.py
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@ -187,6 +187,9 @@ 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
preload_labels = False
if preload_labels:
self.labels = [np.zeros((0, 5))] * n self.labels = [np.zeros((0, 5))] * n
iter = tqdm(self.label_files, desc='Reading labels') if n > 10 else self.label_files iter = tqdm(self.label_files, desc='Reading labels') if n > 10 else self.label_files
extract_bounding_boxes = False extract_bounding_boxes = False
@ -206,7 +209,8 @@ class LoadImagesAndLabels(Dataset): # for training/testing
img = cv2.imread(str(p)) img = cv2.imread(str(p))
h, w, _ = img.shape h, w, _ = img.shape
for j, x in enumerate(l): for j, x in enumerate(l):
f = '%s%sclassification%s%g_%g_%s' % (p.parent.parent, os.sep, os.sep, x[0], j, p.name) f = '%s%sclassification%s%g_%g_%s' % (
p.parent.parent, os.sep, os.sep, x[0], j, p.name)
if not os.path.exists(Path(f).parent): if not os.path.exists(Path(f).parent):
os.makedirs(Path(f).parent) # make new output folder os.makedirs(Path(f).parent) # make new output folder
box = xywh2xyxy(x[1:].reshape(-1, 4)).ravel() box = xywh2xyxy(x[1:].reshape(-1, 4)).ravel()
@ -215,7 +219,6 @@ class LoadImagesAndLabels(Dataset): # for training/testing
int(box[0] * w):int(box[2] * w)]) int(box[0] * w):int(box[2] * w)])
if not result: if not result:
print('stop') print('stop')
except: except:
pass # print('Warning: missing labels for %s' % self.img_files[i]) # missing label file pass # print('Warning: missing labels for %s' % self.img_files[i]) # missing label file
assert len(np.concatenate(self.labels, 0)) > 0, 'No labels found. Incorrect label paths provided.' assert len(np.concatenate(self.labels, 0)) > 0, 'No labels found. Incorrect label paths provided.'
@ -274,9 +277,12 @@ class LoadImagesAndLabels(Dataset): # for training/testing
# Load labels # Load labels
labels = [] labels = []
if os.path.isfile(label_path): if os.path.isfile(label_path):
# with open(label_path, 'r') as f:
# x = np.array([x.split() for x in f.read().splitlines()], dtype=np.float32)
x = self.labels[index] x = self.labels[index]
if x is None: # labels not preloaded
with open(label_path, 'r') as f:
x = np.array([x.split() for x in f.read().splitlines()], dtype=np.float32)
self.labels[index] = x # save for next time
if x.size > 0: if x.size > 0:
# Normalized xywh to pixel xyxy format # Normalized xywh to pixel xyxy format
labels = x.copy() labels = x.copy()