YOLOv5 release v6.0 (#5141)

* Update P5 models

* Update P6 models

* Update with GFLOPs and Params

* Update with GFLOPs and Params

* Update README

* Update

* Update README

* Update

* Update

* Add times

* Update README

* Update results

* Update results

* Update results

* Update hyps

* Update plots

* Update plots

* Update README.md

* Add nano models to hubconf.py

hubconf.py

@@ -70,6 +70,11 @@ def custom(path='path/to/model.pt', autoshape=True, verbose=True, device=None):
     return _create(path, autoshape=autoshape, verbose=verbose, device=device)
 
 
+def yolov5n(pretrained=True, channels=3, classes=80, autoshape=True, verbose=True, device=None):
+    # YOLOv5-nano model https://github.com/ultralytics/yolov5
+    return _create('yolov5n', pretrained, channels, classes, autoshape, verbose, device)
+
+
 def yolov5s(pretrained=True, channels=3, classes=80, autoshape=True, verbose=True, device=None):
     # YOLOv5-small model https://github.com/ultralytics/yolov5
     return _create('yolov5s', pretrained, channels, classes, autoshape, verbose, device)
@@ -90,6 +95,11 @@ def yolov5x(pretrained=True, channels=3, classes=80, autoshape=True, verbose=Tru
     return _create('yolov5x', pretrained, channels, classes, autoshape, verbose, device)
 
 
+def yolov5n6(pretrained=True, channels=3, classes=80, autoshape=True, verbose=True, device=None):
+    # YOLOv5-nano-P6 model https://github.com/ultralytics/yolov5
+    return _create('yolov5n6', pretrained, channels, classes, autoshape, verbose, device)
+
+
 def yolov5s6(pretrained=True, channels=3, classes=80, autoshape=True, verbose=True, device=None):
     # YOLOv5-small-P6 model https://github.com/ultralytics/yolov5
     return _create('yolov5s6', pretrained, channels, classes, autoshape, verbose, device)