HongChuang/ultralytics-ascend
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions 3

ultralytics 8.0.41 TF SavedModel and EdgeTPU export (#1034)

Browse source 
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Noobtoss <96134731+Noobtoss@users.noreply.github.com>
Co-authored-by: Ayush Chaurasia <ayush.chaurarsia@gmail.com>
This commit is contained in:
Glenn Jocher 2023-02-20 01:27:28 +01:00 • committed by GitHub
parent 4b866c9718
commit f6e393c1d2
No known key found for this signature in database
GPG key ID: 4AEE18F83AFDEB23
64 changed files with 604 additions and 351 deletions
Download patch file Download diff file Expand all files Collapse all files

6
ultralytics/nn/autoshape.py
View file

@ -79,7 +79,7 @@ class AutoShape(nn.Module):
with amp.autocast(autocast):
return self.model(ims.to(p.device).type_as(p), augment=augment) # inference
# Pre-process
# Preprocess
n, ims = (len(ims), list(ims)) if isinstance(ims, (list, tuple)) else (1, [ims]) # number, list of images
shape0, shape1, files = [], [], [] # image and inference shapes, filenames
for i, im in enumerate(ims):
@ -108,7 +108,7 @@ class AutoShape(nn.Module):
with dt[1]:
y = self.model(x, augment=augment) # forward
# Post-process
# Postprocess
with dt[2]:
y = non_max_suppression(y if self.dmb else y[0],
self.conf,
@ -181,7 +181,7 @@ class Detections:
self.ims[i] = np.asarray(im)
if pprint:
s = s.lstrip('\n')
return f'{s}\nSpeed: %.1fms pre-process, %.1fms inference, %.1fms NMS per image at shape {self.s}' % self.t
return f'{s}\nSpeed: %.1fms preprocess, %.1fms inference, %.1fms NMS per image at shape {self.s}' % self.t
if crop:
if save:
LOGGER.info(f'Saved results to {save_dir}\n')