Auto-select latest iteration of model
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@ -192,8 +192,12 @@ class PredictionServer:
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eval_scene = eval_env.scenes[scene_idx]
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online_env = create_online_env(eval_env, hyperparams, scene_idx, init_timestep)
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# auto-find highest iteration
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model_registrar = ModelRegistrar(self.config.model_dir, self.config.eval_device)
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model_registrar.load_models(iter_num=100)
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model_iterations = pathlib.Path(self.config.model_dir).glob('model_registrar-*.pt')
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highest_iter = max([int(p.stem.split('-')[-1]) for p in model_iterations])
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model_registrar.load_models(iter_num=highest_iter)
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trajectron = OnlineTrajectron(model_registrar,
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hyperparams,
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