neko

> @Lylo01 Did you generate "vector graph" (aka vectorization of the lineart)? Do you have a method to generate a vector graph？

> @hyw-dev In the paper, the author used https://github.com/MarkMoHR/virtual_sketching. I'm currently finding a way to run it on Colab. I'm thinking about can virtual_sketching directly generate JSON files containing three...

> @hyw-dev Afaik, the original index isn't necessary for inference. It can generate vertex and connection but it can't generate JSON output directly. Thank you for your reply. I'll also...

> > > @hyw-dev Afaik, the original index isn't necessary for inference. It can generate vertex and connection but it can't generate JSON output directly. > > > > >...

try ```python model.load_state_dict(torch.load('weights/flownet.pkl')) ```

model.load_state_dict(convert(torch.load('weights/flownet.pkl')),strict=false)

The return statement in the forward function of IFNet_HDv3.py should be changed to return merged[3]. This means that only the interpolated frame result is needed, not 'tuple'.

IFNet_HDv3.py ```python def forward(self, x, timestep=0.5, scale_list=[8, 4, 2, 1], training=False, fastmode=True, ensemble=False): if training == False: channel = x.shape[1] // 2 img0 = x[:, :channel] img1 = x[:, channel:]...

Perhaps we can take a look at how this new project [AFI-ForwardDeduplicate](https://github.com/hyw-dev/AFI-ForwardDeduplicate) may help further improve the smoothess

> > Perhaps we can take a look at how this new project [AFI-ForwardDeduplicate](https://github.com/hyw-dev/AFI-ForwardDeduplicate) may help further improve the smoothess > > Problem with integrating features is messy code, making...