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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2019-08-11 19:16:54 +02:00
parent dfa999455f
commit d70ceec22a
3 changed files with 15 additions and 9 deletions
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2
detect.py
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@ -51,7 +51,7 @@ def detect(cfg,
return return
# Half precision # Half precision
opt.half = opt.half and device.type != 'cpu' # half precision only supported on cuda opt.half = opt.half and device.type != 'cpu' # half precision only supported on CUDA
if opt.half: if opt.half:
model.half() model.half()

8
utils/datasets.py
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@ -124,7 +124,13 @@ class LoadWebcam: # for inference
pipe = 0 # local camera pipe = 0 # local camera
# pipe = 'rtsp://192.168.1.64/1' # IP camera # pipe = 'rtsp://192.168.1.64/1' # IP camera
# pipe = 'rtsp://username:password@192.168.1.64/1' # IP camera with login # pipe = 'rtsp://username:password@192.168.1.64/1' # IP camera with login
# pipe = '"rtspsrc location="rtsp://username:password@192.168.1.64/1" latency=10 ! appsink' # GStreamer https://answers.opencv.org/question/215996/changing-gstreamer-pipeline-to-opencv-in-pythonsolved/
# https://answers.opencv.org/question/215996/changing-gstreamer-pipeline-to-opencv-in-pythonsolved/
# pipe = '"rtspsrc location="rtsp://username:password@192.168.1.64/1" latency=10 ! appsink' # GStreamer
# https://answers.opencv.org/question/200787/video-acceleration-gstremer-pipeline-in-videocapture/
# https://stackoverflow.com/questions/54095699/install-gstreamer-support-for-opencv-python-package # install help
# pipe = "rtspsrc location=rtsp://root:root@192.168.0.91:554/axis-media/media.amp?videocodec=h264&resolution=3840x2160 protocols=GST_RTSP_LOWER_TRANS_TCP ! rtph264depay ! queue ! vaapih264dec ! videoconvert ! appsink" # GStreamer
self.cap = cv2.VideoCapture(pipe) # video capture object self.cap = cv2.VideoCapture(pipe) # video capture object

6
utils/utils.py
View File

@ -624,14 +624,14 @@ def print_mutation(hyp, results, bucket=''):
if bucket: if bucket:
os.system('gsutil cp gs://%s/evolve.txt .' % bucket) # download evolve.txt os.system('gsutil cp gs://%s/evolve.txt .' % bucket) # download evolve.txt
with open('evolve.txt', 'a') as f: # append result with open('evolve.txt', 'a') as f: # append result
f.write(c + b + '\n') f.write(c + b + '\n')
x = np.unique(np.loadtxt('evolve.txt', ndmin=2), axis=0) # load unique rows x = np.unique(np.loadtxt('evolve.txt', ndmin=2), axis=0) # load unique rows
np.savetxt('evolve.txt', x[np.argsort(-fitness(x))], '%11.3g') # save sort by fitness np.savetxt('evolve.txt', x[np.argsort(-fitness(x))], '%11.3g') # save sort by fitness
if bucket:
os.system('gsutil cp evolve.txt gs://%s' % bucket) # upload evolve.txt os.system('gsutil cp evolve.txt gs://%s' % bucket) # upload evolve.txt
else:
with open('evolve.txt', 'a') as f:
f.write(c + b + '\n')
def fitness(x): def fitness(x):