Update app.py

app.py

@@ -137,7 +137,7 @@ def process(input_cond, input_num_steps, input_seed=42, input_cfg=6.0):
         recon_feat_param[:, 1:, ...] = (recon_feat_param[:, 1:, ...] + 1) / 2.
         recon_feat_param = recon_feat_param.reshape(inf_bs, config.model.num_prims, -1)
         recon_param = torch.concat([recon_srt_param, recon_feat_param], dim=-1)
-        visualize_video_primvolume(config.output_dir, batch, recon_param, 60, rm, device)
+        visualize_video_primvolume(config.output_dir, batch, recon_param, 30, rm, device)
         prim_params = {'srt_param': recon_srt_param[0].detach().cpu(), 'feat_param': recon_feat_param[0].detach().cpu()}
         torch.save({'model_state_dict': prim_params}, "{}/denoised.pt".format(config.output_dir))