Bienqq
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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2019-09-13 15:10:15 +02:00
parent 0bf08a9d93
commit 5452bb7036
1 changed files with 2 additions and 2 deletions
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detect.py
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@ -10,7 +10,7 @@ def detect(save_txt=False, save_img=False, stream_img=False):
img_size = (320, 192) if ONNX_EXPORT else opt.img_size # (320, 192) or (416, 256) or (608, 352) for (height, width) img_size = (320, 192) if ONNX_EXPORT else opt.img_size # (320, 192) or (416, 256) or (608, 352) for (height, width)
out, source, weights, half = opt.output, opt.source, opt.weights, opt.half out, source, weights, half = opt.output, opt.source, opt.weights, opt.half
webcam = source == '0' or source.startswith('rtsp') or source.startswith('http') webcam = source == '0' or source.startswith('rtsp') or source.startswith('http')
streams = source.endswith('streams.txt') streams = 'streams' in source and source.endswith('.txt')
# Initialize # Initialize
device = torch_utils.select_device(force_cpu=ONNX_EXPORT) device = torch_utils.select_device(force_cpu=ONNX_EXPORT)
@ -47,7 +47,7 @@ def detect(save_txt=False, save_img=False, stream_img=False):
# Set Dataloader # Set Dataloader
vid_path, vid_writer = None, None vid_path, vid_writer = None, None
if streams: if streams:
stream_img = True stream_img = False
torch.backends.cudnn.benchmark = True # set True to speed up constant image size inference torch.backends.cudnn.benchmark = True # set True to speed up constant image size inference
dataset = LoadStreams(source, img_size=img_size, half=half) dataset = LoadStreams(source, img_size=img_size, half=half)
elif webcam: elif webcam: