Delete duplicate/old file: \/params_storage/params_fig10b_single_gpu.py

///params_storage/params_fig10b_single_gpu.py

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-# params_fig10b_single_gpu.py
-# ===========================
-# Reproduces Fig 10b from the paper:
-#   Complex environment - Jacobs Hall, July 28 + July 28_2, 4 APs
-#   Target: median ~64 cm, 90th ~160 cm
-#
-# Adapted for single GPU (RTX 3060 6GB) with batch_size=8.
-# To use: copy this file to ../params.py
-#   cp params_storage/params_fig10b_single_gpu.py params.py
-# Then run: python train_and_test.py
-#
-# Required data files in ./data/:
-#   dataset_jacobs_July28.mat
-#   dataset_fov_train_jacobs_July28_2.mat
-#   dataset_non_fov_train_jacobs_July28_2.mat
-#   dataset_fov_test_jacobs_July28_2.mat
-#   dataset_non_fov_test_jacobs_July28_2.mat
-# (Generate these with: python prepare_data.py)
-
-from easydict import EasyDict as edict
-import time
-from os.path import join
-
-opt_exp = edict()
-
-# ---------- Global Experiment params ----------
-opt_exp.isTrain = True
-opt_exp.continue_train = False
-opt_exp.starting_epoch_count = 0
-opt_exp.n_epochs = 50
-opt_exp.gpu_ids = ['0']           # Single GPU
-opt_exp.data = "rw_to_rw"        # Jacobs Hall complex env
-opt_exp.n_decoders = 2            # Encoder + location decoder + consistency decoder
-
-opt_exp.batch_size = 64           # Larger batch for H100-class GPUs
-opt_exp.ds_step_trn = 1
-opt_exp.ds_step_tst = 1
-opt_exp.weight_decay = 1e-5
-opt_exp.confidence = False
-
-# ------ Experiment save paths ----------
-opt_exp.save_name = time.strftime("%Y-%m-%d-%H-%M-%S", time.localtime())  # No colons - Windows safe
-opt_exp.checkpoints_dir = join('./runs', opt_exp.save_name)
-opt_exp.results_dir = opt_exp.checkpoints_dir
-opt_exp.log_dir = opt_exp.checkpoints_dir
-opt_exp.load_dir = opt_exp.checkpoints_dir
-
-# ---------- Encoder params ----------
-opt_encoder = edict()
-opt_encoder.parent_exp = opt_exp
-opt_encoder.batch_size = opt_encoder.parent_exp.batch_size
-opt_encoder.ngf = 64
-opt_encoder.base_model = 'resnet_encoder'
-opt_encoder.net = 'G'
-opt_encoder.resnet_blocks = 6
-opt_encoder.no_dropout = False
-opt_encoder.init_type = 'xavier'
-opt_encoder.init_gain = 0.02
-opt_encoder.norm = 'instance'
-opt_encoder.beta1 = 0.5
-opt_encoder.lr = 0.00001
-opt_encoder.lr_policy = 'step'
-opt_encoder.lr_decay_iters = 50
-opt_encoder.lambda_L = 1
-opt_encoder.lambda_cross = 1e-5
-opt_encoder.lambda_reg = 5e-4
-opt_encoder.weight_decay = opt_encoder.parent_exp.weight_decay
-
-opt_encoder.input_nc = 4         # 4 APs in Jacobs Hall
-opt_encoder.output_nc = 1
-opt_encoder.save_latest_freq = 5000
-opt_encoder.save_epoch_freq = 1
-opt_encoder.n_epochs = opt_encoder.parent_exp.n_epochs
-opt_encoder.isTrain = True
-opt_encoder.continue_train = False
-opt_encoder.starting_epoch_count = opt_encoder.parent_exp.starting_epoch_count
-opt_encoder.name = 'encoder'
-opt_encoder.loss_type = "NoLoss"
-opt_encoder.niter = 20
-opt_encoder.niter_decay = 100
-
-opt_encoder.gpu_ids = opt_encoder.parent_exp.gpu_ids
-opt_encoder.num_threads = 4
-opt_encoder.checkpoints_load_dir = opt_encoder.parent_exp.load_dir
-opt_encoder.checkpoints_save_dir = opt_encoder.parent_exp.checkpoints_dir
-opt_encoder.results_dir = opt_encoder.parent_exp.results_dir
-opt_encoder.log_dir = opt_encoder.parent_exp.log_dir
-opt_encoder.max_dataset_size = float("inf")
-opt_encoder.verbose = False
-opt_encoder.suffix = ''
-
-# ---------- Location Decoder params ----------
-opt_decoder = edict()
-opt_decoder.parent_exp = opt_exp
-opt_decoder.batch_size = opt_decoder.parent_exp.batch_size
-opt_decoder.ngf = 64
-opt_decoder.base_model = 'resnet_decoder'
-opt_decoder.net = 'G'
-opt_decoder.resnet_blocks = 9
-opt_decoder.encoder_res_blocks = 6
-opt_decoder.no_dropout = False
-opt_decoder.init_type = 'xavier'
-opt_decoder.init_gain = 0.02
-opt_decoder.norm = 'instance'
-opt_decoder.beta1 = 0.5
-opt_decoder.lr = opt_encoder.lr
-opt_decoder.lr_policy = 'step'
-opt_decoder.lr_decay_iters = 20
-opt_decoder.lambda_L = 1
-opt_decoder.lambda_cross = 1e-5
-opt_decoder.lambda_reg = 5e-4
-opt_decoder.weight_decay = opt_decoder.parent_exp.weight_decay
-
-opt_decoder.input_nc = 4         # 4 APs
-opt_decoder.output_nc = 1        # 1-channel location heatmap
-opt_decoder.save_latest_freq = 5000
-opt_decoder.save_epoch_freq = 1
-opt_decoder.n_epochs = opt_decoder.parent_exp.n_epochs
-opt_decoder.isTrain = True
-opt_decoder.continue_train = False
-opt_decoder.starting_epoch_count = opt_decoder.parent_exp.starting_epoch_count
-opt_decoder.name = 'decoder'
-opt_decoder.loss_type = "L2_sumL1"
-opt_decoder.niter = 20
-opt_decoder.niter_decay = 100
-
-opt_decoder.gpu_ids = opt_decoder.parent_exp.gpu_ids
-opt_decoder.num_threads = 4
-opt_decoder.checkpoints_load_dir = opt_decoder.parent_exp.load_dir
-opt_decoder.checkpoints_save_dir = opt_decoder.parent_exp.checkpoints_dir
-opt_decoder.results_dir = opt_decoder.parent_exp.results_dir
-opt_decoder.log_dir = opt_decoder.parent_exp.log_dir
-opt_decoder.verbose = False
-opt_decoder.suffix = ''
-
-# ---------- Consistency (Offset) Decoder params ----------
-opt_offset_decoder = edict()
-opt_offset_decoder.parent_exp = opt_exp
-opt_offset_decoder.batch_size = opt_offset_decoder.parent_exp.batch_size
-opt_offset_decoder.ngf = 64
-opt_offset_decoder.base_model = 'resnet_decoder'
-opt_offset_decoder.net = 'G'
-opt_offset_decoder.resnet_blocks = 12
-opt_offset_decoder.encoder_res_blocks = 6
-opt_offset_decoder.no_dropout = False
-opt_offset_decoder.init_type = 'xavier'
-opt_offset_decoder.init_gain = 0.02
-opt_offset_decoder.norm = 'instance'
-opt_offset_decoder.beta1 = 0.5
-opt_offset_decoder.lr = opt_encoder.lr
-opt_offset_decoder.lr_policy = 'step'
-opt_offset_decoder.lr_decay_iters = 50
-opt_offset_decoder.lambda_L = 1
-opt_offset_decoder.lambda_cross = 0
-opt_offset_decoder.lambda_reg = 0
-opt_offset_decoder.weight_decay = opt_offset_decoder.parent_exp.weight_decay
-
-opt_offset_decoder.input_nc = 4  # 4 APs
-opt_offset_decoder.output_nc = 4 # 4-channel consistency output
-opt_offset_decoder.save_latest_freq = 5000
-opt_offset_decoder.save_epoch_freq = 1
-opt_offset_decoder.n_epochs = opt_offset_decoder.parent_exp.n_epochs
-opt_offset_decoder.isTrain = True
-opt_offset_decoder.continue_train = False
-opt_offset_decoder.starting_epoch_count = opt_offset_decoder.parent_exp.starting_epoch_count
-opt_offset_decoder.name = 'offset_decoder'
-opt_offset_decoder.loss_type = "L2_offset_loss"
-opt_offset_decoder.niter = 20
-opt_offset_decoder.niter_decay = 100
-
-opt_offset_decoder.gpu_ids = opt_offset_decoder.parent_exp.gpu_ids
-opt_offset_decoder.num_threads = 4
-opt_offset_decoder.checkpoints_load_dir = opt_offset_decoder.parent_exp.load_dir
-opt_offset_decoder.checkpoints_save_dir = opt_offset_decoder.parent_exp.checkpoints_dir
-opt_offset_decoder.results_dir = opt_offset_decoder.parent_exp.results_dir
-opt_offset_decoder.log_dir = opt_offset_decoder.parent_exp.log_dir
-opt_offset_decoder.verbose = False
-opt_offset_decoder.suffix = ''