rename class autoShape -> AutoShape (#3173)

* rename class autoShape -> AutoShape

follow other class naming convention

* rename class autoShape -> AutoShape

follow other classes' naming convention

* rename class autoShape -> AutoShape
pull/3104/head
Yonghye Kwon 2021-05-16 22:46:45 +09:00 committed by GitHub
parent 17b0f71538
commit be86c21c73
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
2 changed files with 6 additions and 6 deletions

View File

@ -223,18 +223,18 @@ class NMS(nn.Module):
return non_max_suppression(x[0], conf_thres=self.conf, iou_thres=self.iou, classes=self.classes)
class autoShape(nn.Module):
class AutoShape(nn.Module):
# input-robust model wrapper for passing cv2/np/PIL/torch inputs. Includes preprocessing, inference and NMS
conf = 0.25 # NMS confidence threshold
iou = 0.45 # NMS IoU threshold
classes = None # (optional list) filter by class
def __init__(self, model):
super(autoShape, self).__init__()
super(AutoShape, self).__init__()
self.model = model.eval()
def autoshape(self):
print('autoShape already enabled, skipping... ') # model already converted to model.autoshape()
print('AutoShape already enabled, skipping... ') # model already converted to model.autoshape()
return self
@torch.no_grad()

View File

@ -215,9 +215,9 @@ class Model(nn.Module):
self.model = self.model[:-1] # remove
return self
def autoshape(self): # add autoShape module
logger.info('Adding autoShape... ')
m = autoShape(self) # wrap model
def autoshape(self): # add AutoShape module
logger.info('Adding AutoShape... ')
m = AutoShape(self) # wrap model
copy_attr(m, self, include=('yaml', 'nc', 'hyp', 'names', 'stride'), exclude=()) # copy attributes
return m