# config_FINN_W2_A2_28.instance_size = 256 # config_FINN_W2_A2_28.score_size = 30 # save_config(config_FINN_W2_A2_28, f"./models_{exp_nbr}/") # # training SiamFC network, using GPU by default # train(data_dir, train_imdb, val_imdb, model_save_path=f"./models_{exp_nbr}/", # type=NetType.FINN_W2_A2_X28, # config=config_FINN_W2_A2_28) # writer.close() exp_nbr = "FINN_W2_A2_29" + "_" + str(dt.now()) writer = SummaryWriter(f"runs/{exp_nbr}") config_FINN_W2_A2_29 = Config() config_FINN_W2_A2_29.val_videos = 400 config_FINN_W2_A2_29.examplar_size = 130 config_FINN_W2_A2_29.instance_size = 256 config_FINN_W2_A2_29.score_size = 30 save_config(config_FINN_W2_A2_29, f"./models_{exp_nbr}/") # training SiamFC network, using GPU by default train(data_dir, train_imdb, val_imdb, model_save_path=f"./models_{exp_nbr}/", type=NetType.FINN_W2_A2_X29, config=config_FINN_W2_A2_29) writer.close() exp_nbr = "FINN_W2_A2_30" + "_" + str(dt.now()) writer = SummaryWriter(f"runs/{exp_nbr}") config_FINN_W2_A2_30 = Config() config_FINN_W2_A2_30.val_videos = 400 config_FINN_W2_A2_30.examplar_size = 130
# exp_nbr = "FINN_W2_A8_X27_z256_x130" + "_" + str(dt.now()) # writer = SummaryWriter(f"runs/{exp_nbr}") # config_FINN_W2_A8_X27_z256_x130 = Config() # config_FINN_W2_A8_X27_z256_x130.val_videos = 400 # config_FINN_W2_A8_X27_z256_x130.examplar_size = 130 # config_FINN_W2_A8_X27_z256_x130.instance_size = 256 # config_FINN_W2_A8_X27_z256_x130.score_size = 30 # save_config(config_FINN_W2_A8_X27_z256_x130, f"./models_{exp_nbr}/") # # training SiamFC network, using GPU by default # train(data_dir, train_imdb, val_imdb, model_save_path=f"./models_{exp_nbr}/", # type=NetType.FINN_W2_A8_X27_z256_x130, # config=config_FINN_W2_A8_X27_z256_x130) # writer.close() exp_nbr = "FINN_W2_A2_X26_z256_x130" + "_" + str(dt.now()) writer = SummaryWriter(f"runs/{exp_nbr}") config_FINN_W2_A2_X26_z256_x130 = Config() config_FINN_W2_A2_X26_z256_x130.val_videos = 400 config_FINN_W2_A2_X26_z256_x130.examplar_size = 130 config_FINN_W2_A2_X26_z256_x130.instance_size = 256 config_FINN_W2_A2_X26_z256_x130.score_size = 30 save_config(config_FINN_W2_A2_X26_z256_x130, f"./models_{exp_nbr}/") # training SiamFC network, using GPU by default train(data_dir, train_imdb, val_imdb, model_save_path=f"./models_{exp_nbr}/", type=NetType.FINN_W2_A2_X26_z256_x130, config=config_FINN_W2_A2_X26_z256_x130) writer.close()