fixed generate_saliency_maps_using_model.py #11
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| self.wrapper_model.input_process_dict = {} | ||
| self.wrapper_model.input_process_dict["functor"] = functools.partial(alter_gaze_points_for_frame_ids_input_functor) | ||
| self.wrapper_model.input_process_dict["params"] = {} | ||
| self.wrapper_model.input_process_dict["params"]["batch_inference_frame_id_range"] = args.batch_inference_frame_id_range | ||
| self.wrapper_model.input_process_dict["params"]["gaze_alteration_frame_id_range"] = args.gaze_alteration_frame_id_range | ||
| self.wrapper_model.input_process_dict["params"]["batch_size"] = args.batch_size |
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self.model_wrapper instead of self.wrapper_model?
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| self.wrapper_model.input_process_dict["params"]["gaze_fixed_point"] = args.gaze_fixed_point | ||
| self.wrapper_model.input_process_dict["inference_mode"] = InferenceMode.BOTH | ||
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| self.wrapper_model.output_process_dict = {} | ||
| self.wrapper_model.output_process_dict["functor"] = functools.partial(save_images_in_folder_output_functor) | ||
| self.wrapper_model.output_process_dict["params"] = {} | ||
| #self.wrapper_model.output_process_dict["params"]["writer"] = self.writer | ||
| self.wrapper_model.output_process_dict["params"]["batch_size"] = args.batch_size | ||
| self.wrapper_model.output_process_dict["params"]["is_save_only_last_frame"] = True | ||
| self.wrapper_model.output_process_dict["params"]["is_save_gaze_points_on_image"] = True | ||
| self.wrapper_model.output_process_dict["params"]["text_desc"] = "saliency_maps_using_inference" | ||
| self.wrapper_model.output_process_dict["params"]["output_folder"] = os.path.join(args.log_dir, "saliency_maps") |
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same comment as above. I believe this should be self.model_wrapper
deepakgopinath
requested changes
Oct 5, 2022
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Fixed generate_saliency_maps_using_model.py & maad_base_dataset.py
by Woven