Some questions

[GaoShuang98]

Dear author, I appreciate your work and would like to get the details of Geoclip's training. Can you publish the complete training code? Thank you.

Also, in the geoclip code, self. opt is not defined in init. How can this be changed?

    def _dequeue_and_enqueue(self, gps):
        """ Update GPS queue

    Args:
        gps (torch.Tensor): GPS tensor of shape (batch_size, 2)
    """
        opt = self.opt
        gps_batch_size = gps.shape[0]
        batch_size = opt.batch_size

        gps_ptr = int(self.gps_queue_ptr)
        assert self.queue_size % batch_size == 0

        # Replace the GPS from ptr to ptr+batch_size (dequeue and enqueue)
        self.gps_queue[:, gps_ptr:gps_ptr + gps_batch_size] = gps.t()
        gps_ptr = (gps_ptr + batch_size) % self.queue_size  # move pointer
        self.gps_queue_ptr[0] = gps_ptr

In the following code, weather the self.gps of self._dequeue_and_enqueue(self.gps) should be modified to self.gps_queue?

    def append_gps_queue_features(self, gps_features):
        """ Compute the GPS queue features and append them to the given GPS features."""
        # Get the GPS queue features
        location_queue = self.gps_queue.t().detach()
        gps_queue_features = self.location_encoder(location_queue)
        gps_queue_features = F.normalize(gps_queue_features, dim=1)

        # Concatenate Features (GPS Features & GPS Queue Features)
        gps_features = torch.cat([gps_features, gps_queue_features], dim=0)

        # Update GPS queue
        self._dequeue_and_enqueue(self.gps) 

        return gps_features

Looking forward to your response, thank you.

[a-parida12]

@GaoShuang98 @VicenteVivan do you have a solution for this?

[GaoShuang98]

@GaoShuang98 @VicenteVivan do you have a solution for this?

Not yet😅