Method save_model

model/RIFE.py:52–54

(self, path, rank=0)

            self.flownet.load_state_dict(convert(torch.load('{}/flownet.pkl'.format(path))))
        
    def save_model(self, path, rank=0):
        if rank == 0:
            torch.save(self.flownet.state_dict(),'{}/flownet.pkl'.format(path))

    def inference(self, img0, img1, scale=1, scale_list=None, TTA=False, timestep=0.5):
        if scale_list is None: