Beispiel #1
0
exp_params_dict = {}
exp_params_dict['indexs_string'] = "train_16,train_513,train_632,train_479"
exp_params_dict['n_iterations'] = 100
exp_params_dict['iter_till_insert'] = 1
exp_params_dict['gens_per_original'] = 1
exp_params_dict['skip_insert'] = False
exp_params_dict['batch_size_exp'] = 50
exp_params_dict['exp_list'] = [
    10
]  # 9 solamente algunas mascasras , 10 todas las mascaras
exp_params_dict['base_name'] = 'xray_V2_f'
exp_params_dict['dropout_k'] = 20
exp_params_dict[
    'mask_file_path_map'] = "config_files/mask_files/mask_dummy_xray_imagenet_cam_loss_V2_2019-04-21__12:45:11.pkl"

# temp list file
with open(exp_params_dict['mask_file_path_map'], 'rb') as f:
    mask_dict = pickle.load(f)
with open('temp_list.txt', 'w') as f:
    f.write('\n'.join(mask_dict['masks'].keys()))

exp_params_dict['plot_masks'] = True
exp_params_dict['missclass_index_path'] = 'temp_list.txt'
exp_params_dict['add_summary'] = True

exp_params_dict['param_a'] = 8  # 4 0.4
exp_params_dict['param_b'] = 3  # 0.7
exp_params_dict['tf_config'] = config

res_path = do_train_config(config_file, **exp_params_dict)
Beispiel #2
0
    exp_params_dict = {}
    exp_params_dict['indexs_string'] = ''
    exp_params_dict['n_iterations'] = 30  # 15,3, 50, 25
    exp_params_dict['iter_till_insert'] = 1
    exp_params_dict['gens_per_original'] = 0
    exp_params_dict['skip_insert'] = False
    exp_params_dict['batch_size_exp'] = 50
    exp_params_dict['sel_dropout'] = False
    exp_params_dict['exp_list'] = [3]
    exp_params_dict['base_name'] = 'miss_class_analisis'
    exp_params_dict['dropout_k'] = 16
    exp_params_dict[
        'mask_file_path_map'] = None  # 'mask_map_label_9__2018-Dec-12--00:04.pkl'
    exp_params_dict['plot_masks'] = False
    do_train_config(temp_train_file_gen,
                    out_file_path=experimental_results_folder,
                    **exp_params_dict)

# TODO here
print("DOING just original")
with show_elapsed(prefix="train cam loss"):
    exp_params_dict = {}
    exp_params_dict['indexs_string'] = ''
    exp_params_dict['n_iterations'] = 0  # 15,3, 50, 25
    exp_params_dict['iter_till_insert'] = 0
    exp_params_dict['gens_per_original'] = 0
    exp_params_dict['skip_insert'] = False
    exp_params_dict['batch_size_exp'] = 0
    exp_params_dict['op'] = ''
    exp_params_dict['sel_dropout'] = False
    exp_params_dict['exp_list'] = [0]