Method forward_gaussians

model/splat_model_inference.py:31–35

(self, frames, depths, cond_times=None)

        return missing_keys, unexpected_keys
    
    def forward_gaussians(self, frames, depths, cond_times=None):
        # frames: [B, V, C, H, W]
        # return: gaussians: [B, N, D]
        decoder_out = self.model(frames, depths, cond_times=cond_times)
        return decoder_out
    
    def forward(self, data, step_ratio=0.0):
        # data: [B, V, C, H, W]