00c06ff2b04c3c991b6fbe1281ff3eede9ca4f94,gluon/gluoncv2/models/darknet.py,DarkNet,__init__,#DarkNet#Any#Any#Any#Any#Any#Any#Any#,156

Before Change

                            bn_use_global_stats=bn_use_global_stats,
                            pointwise=(len(channels_per_stage) > 1) and not(((j + 1) % 2 == 1) ^ odd_pointwise)))
                        in_channels = out_channels
                    if i != len(channels) - 1:
                        stage.add(nn.MaxPool2D(
                            pool_size=2,
                            strides=2))

After Change

def darknet_tiny(**kwargs):
    
    DarkNet Tiny model from "Darknet: Open source neural networks in c," https://github.com/pjreddie/darknet.

    Parameters:
    ----------
    pretrained : bool, default False
        Whether to load the pretrained weights for model.
    ctx : Context, default CPU
        The context in which to load the pretrained weights.
    root : str, default "~/.mxnet/models"
        Location for keeping the model parameters.
    

Instances