Bienqq
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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2019-09-19 15:31:28 +02:00
parent 6d8e82c175
commit dc445f42bf
1 changed files with 5 additions and 5 deletions
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10
detect.py
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@ -6,7 +6,7 @@ from utils.datasets import *
from utils.utils import * from utils.utils import *
def detect(save_txt=False, save_img=False, stream_img=False): def detect(save_txt=False, save_img=False, view_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')
@ -47,11 +47,11 @@ 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 = False view_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:
stream_img = True view_img = True
dataset = LoadWebcam(source, img_size=img_size, half=half) dataset = LoadWebcam(source, img_size=img_size, half=half)
else: else:
save_img = True save_img = True
@ -95,14 +95,14 @@ def detect(save_txt=False, save_img=False, stream_img=False):
with open(save_path + '.txt', 'a') as file: with open(save_path + '.txt', 'a') as file:
file.write(('%g ' * 6 + '\n') % (*xyxy, cls, conf)) file.write(('%g ' * 6 + '\n') % (*xyxy, cls, conf))
if save_img or stream_img: # Add bbox to image if save_img or view_img: # Add bbox to image
label = '%s %.2f' % (classes[int(cls)], conf) label = '%s %.2f' % (classes[int(cls)], conf)
plot_one_box(xyxy, im0, label=label, color=colors[int(cls)]) plot_one_box(xyxy, im0, label=label, color=colors[int(cls)])
print('%sDone. (%.3fs)' % (s, time.time() - t)) print('%sDone. (%.3fs)' % (s, time.time() - t))
# Stream results # Stream results
if stream_img: if view_img:
cv2.imshow(p, im0) cv2.imshow(p, im0)
# Save results (image with detections) # Save results (image with detections)