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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2019-08-01 01:47:05 +02:00
parent d07b9988e3
commit 69c7d07996
1 changed files with 3 additions and 3 deletions
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6
utils/datasets.py
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@ -156,7 +156,7 @@ class LoadWebcam: # for inference
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=True, image_weights=False):
path = str(Path(path)) # os-agnostic
with open(path, 'r') as f:
self.img_files = [x.replace('/', os.sep) for x in f.read().splitlines() # os-agnostic
@ -409,8 +409,8 @@ def letterbox(img, new_shape=416, color=(128, 128, 128), mode='auto'):
new_unpad = (new_shape, new_shape)
ratiow, ratioh = new_shape / shape[1], new_shape / shape[0]
if shape[::-1] != new_unpad:
img = cv2.resize(img, new_unpad, interpolation=cv2.INTER_AREA) # resize
if shape[::-1] != new_unpad: # resize
img = cv2.resize(img, new_unpad, interpolation=cv2.INTER_AREA) # INTER_AREA for quality, INTER_LINEAR for speed
top, bottom = int(round(dh - 0.1)), int(round(dh + 0.1))
left, right = int(round(dw - 0.1)), int(round(dw + 0.1))
img = cv2.copyMakeBorder(img, top, bottom, left, right, cv2.BORDER_CONSTANT, value=color) # add border