YOLO¶
Object Detection Link¶
YOLOv2Tiny¶
-
class
chainercv.experimental.links.model.yolo.
YOLOv2Tiny
(n_fg_class=None, pretrained_model=None)[source]¶ YOLOv2 tiny.
This is a model of YOLOv2 tiny a.k.a. Tiny YOLO. This model uses
DarknetExtractor
as its feature extractor.- Parameters
n_fg_class (int) – The number of classes excluding the background.
pretrained_model (string) –
The weight file to be loaded. This can take
'voc0712'
, filepath orNone
. The default value isNone
.'voc0712'
: Load weights trained on trainval split of PASCAL VOC 2007 and 2012. The weight file is downloaded and cached automatically.n_fg_class
must be20
orNone
. These weights were converted from the darknet model provided by the original implementation. The conversion code is chainercv/examples/yolo/darknet2npz.py.filepath: A path of npz file. In this case,
n_fg_class
must be specified properly.None
: Do not load weights.