zjc
/
yolov5
1
0
Fork 0
Code Issues Pull Requests Releases Wiki Activity

Update `AutoShape.forward()` model.classes example (#5324)

This commit is contained in:
Glenn Jocher 2021-10-25 14:03:25 +02:00 committed by GitHub
parent ca19df5f7f
commit 9c31a66f5d
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 1 additions and 1 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
models/common.py
View File

@ -277,7 +277,7 @@ class AutoShape(nn.Module):
# YOLOv5 input-robust model wrapper for passing cv2/np/PIL/torch inputs. Includes preprocessing, inference and NMS # YOLOv5 input-robust model wrapper for passing cv2/np/PIL/torch inputs. Includes preprocessing, inference and NMS
conf = 0.25 # NMS confidence threshold conf = 0.25 # NMS confidence threshold
iou = 0.45 # NMS IoU threshold iou = 0.45 # NMS IoU threshold
classes = None # (optional list) filter by class classes = None # (optional list) filter by class, i.e. = [0, 15, 16] for COCO persons, cats and dogs
multi_label = False # NMS multiple labels per box multi_label = False # NMS multiple labels per box
max_det = 1000 # maximum number of detections per image max_det = 1000 # maximum number of detections per image