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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2019-09-27 21:57:00 +02:00
parent df8529a747
commit c6d3efbf95
1 changed files with 3 additions and 3 deletions
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6
utils/datasets.py
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@ -232,7 +232,7 @@ class LoadStreams: # multiple IP or RTSP cameras
raise StopIteration raise StopIteration
# Letterbox # Letterbox
img = [letterbox(x, new_shape=self.img_size)[0] for x in img0] img = [letterbox(x, new_shape=self.img_size, interp=cv2.INTER_LINEAR)[0] for x in img0]
# Stack # Stack
img = np.stack(img, 0) img = np.stack(img, 0)
@ -507,7 +507,7 @@ class LoadImagesAndLabels(Dataset): # for training/testing
return torch.stack(img, 0), torch.cat(label, 0), path, hw return torch.stack(img, 0), torch.cat(label, 0), path, hw
def letterbox(img, new_shape=416, color=(128, 128, 128), mode='auto'): def letterbox(img, new_shape=416, color=(128, 128, 128), mode='auto', interp=cv2.INTER_AREA):
# Resize a rectangular image to a 32 pixel multiple rectangle # Resize a rectangular image to a 32 pixel multiple rectangle
# https://github.com/ultralytics/yolov3/issues/232 # https://github.com/ultralytics/yolov3/issues/232
shape = img.shape[:2] # current shape [height, width] shape = img.shape[:2] # current shape [height, width]
@ -535,7 +535,7 @@ def letterbox(img, new_shape=416, color=(128, 128, 128), mode='auto'):
ratiow, ratioh = new_shape / shape[1], new_shape / shape[0] ratiow, ratioh = new_shape / shape[1], new_shape / shape[0]
if shape[::-1] != new_unpad: # resize if shape[::-1] != new_unpad: # resize
img = cv2.resize(img, new_unpad, interpolation=cv2.INTER_AREA) # INTER_AREA is better, INTER_LINEAR is faster img = cv2.resize(img, new_unpad, interpolation=interp) # INTER_AREA is better, INTER_LINEAR is faster
top, bottom = int(round(dh - 0.1)), int(round(dh + 0.1)) top, bottom = int(round(dh - 0.1)), int(round(dh + 0.1))
left, right = int(round(dw - 0.1)), int(round(dw + 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 img = cv2.copyMakeBorder(img, top, bottom, left, right, cv2.BORDER_CONSTANT, value=color) # add border