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

ultralytics 8.0.197 save P, R, F1 curves to metrics (#5354)

Browse source 
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: erminkev1 <83356055+erminkev1@users.noreply.github.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Andy <39454881+yermandy@users.noreply.github.com>
This commit is contained in:
Glenn Jocher 2023-10-13 02:49:31 +02:00 • committed by GitHub
parent 7fd5dcbd86
commit 12e3eef844
No known key found for this signature in database
GPG key ID: 4AEE18F83AFDEB23
33 changed files with 337 additions and 195 deletions
Download patch file Download diff file Expand all files Collapse all files

4
ultralytics/nn/tasks.py
View file

@ -277,7 +277,7 @@ class DetectionModel(BaseModel):
return torch.cat((x, y, wh, cls), dim)
def _clip_augmented(self, y):
"""Clip YOLOv5 augmented inference tails."""
"""Clip YOLO augmented inference tails."""
nl = self.model[-1].nl # number of detection layers (P3-P5)
g = sum(4 ** x for x in range(nl)) # grid points
e = 1 # exclude layer count
@ -491,7 +491,7 @@ class Ensemble(nn.ModuleList):
super().__init__()
def forward(self, x, augment=False, profile=False, visualize=False):
"""Function generates the YOLOv5 network's final layer."""
"""Function generates the YOLO network's final layer."""
y = [module(x, augment, profile, visualize)[0] for module in self]
# y = torch.stack(y).max(0)[0] # max ensemble
# y = torch.stack(y).mean(0) # mean ensemble