Bienqq
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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2020-03-09 18:39:00 -07:00
parent f7f435446b
commit 821a72b2d3
1 changed files with 3 additions and 2 deletions
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detect.py
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@ -77,7 +77,6 @@ def detect(save_img=False):
# Run inference
t0 = time.time()
for path, img, im0s, vid_cap in dataset:
t = time.time()
img = torch.from_numpy(img).to(device)
img = img.half() if half else img.float() # uint8 to fp16/32
img /= 255.0 # 0 - 255 to 0.0 - 1.0
@ -85,7 +84,9 @@ def detect(save_img=False):
img = img.unsqueeze(0)
# Inference
t1 = torch_utils.time_synchronized()
pred = model(img)[0].float() if half else model(img)[0]
t2 = torch_utils.time_synchronized()
# Apply NMS
pred = non_max_suppression(pred, opt.conf_thres, opt.iou_thres, classes=opt.classes, agnostic=opt.agnostic_nms)
@ -123,7 +124,7 @@ def detect(save_img=False):
plot_one_box(xyxy, im0, label=label, color=colors[int(cls)])
# Print time (inference + NMS)
print('%sDone. (%.3fs)' % (s, time.time() - t))
print('%sDone. (%.3fs)' % (s, t2 - t1))
# Stream results
if view_img: