Update app.py

app.py

@@ -119,8 +119,6 @@ def retrieval_pc(load_data, k, sim_th, filter_fn):
     col2 = utils.render_pc(pc)
     ref_dev = next(model_retrieval.parameters()).device
     enc = model_retrieval(torch.tensor(pc[:, [0, 2, 1, 3, 4, 5]].T[None], device=ref_dev))
-    if model_name == "pb-sn-M":
-        enc = pc_adapter(enc)
     sim = torch.matmul(torch.nn.functional.normalize(lvis.feats, dim=-1), torch.nn.functional.normalize(enc.cpu(), dim=-1).squeeze())
     argsort = torch.argsort(sim, descending=True)
     pred = OrderedDict((lvis.categories[i], sim[i]) for i in argsort if i < len(lvis.categories))