d0fb2a8d63de0c59a11163650b9575bbc916df5e,mmdet/models/detectors/two_stage.py,TwoStageDetector,init_weights,#TwoStageDetector#Any#,53

Before Change

        self.init_weights(pretrained=pretrained)

    def init_weights(self, pretrained=None):
        if pretrained is not None:
            print("load model from: {}".format(pretrained))
        self.backbone.init_weights(pretrained=pretrained)
        if self.with_neck:
            if isinstance(self.neck, nn.Sequential):
                for m in self.neck:

After Change

        self.init_weights(pretrained=pretrained)

    def init_weights(self, pretrained=None):
        super(TwoStageDetector, self).init_weights(pretrained)
        self.backbone.init_weights(pretrained=pretrained)
        if self.with_neck:
            if isinstance(self.neck, nn.Sequential):
                for m in self.neck:

Instances