text: """
  this .py file contains all the parameters
  """
  import os
  configs = {}
  """
  config['model_path']
  this is your model path if you have a pretrained network you need assign
  this config to your directory. when you test your network you should assigh 
  your directory to this too! if your trainining process is break by someone you can also 
  continue your trianining process by assigh your directory to this directory
  
  """
  
  #****************************************read data parameters**************************************
  configs['dir_name'] = 'frame_vessel/fcn'     #need to change this dir if you change your model to a new file
  configs['max_angle'] = 20
  configs['root_dir'] = 'data'
  configs['save_dir'] = 'saved_data'
  configs['image_size'] = 224
  configs['per'] = 0.9            #percentage splited from the raw data
  configs['saved_npy'] = True
  configs['imgs_train'] = 'imgs_train.npy'
  configs['imgs_label'] = 'imgs_label.npy'
  configs['imgs_train_test'] = 'imgs_train_test.npy'
  configs['imgs_label_test'] = 'imgs_label_test.npy'
  # configs['model_path'] = "./model/resnet/resnet101.npy"
  configs['model_path'] = configs['dir_name'] + '/check_points/46.npy'      
  #**************************************argumentation parameters************************************
  configs['raw_images'] = True
  configs['horizontal_flip_num'] = True
  configs['vertical_flip_num'] = True
  configs['random_rotate_num'] = 0
  configs['random_crop_num'] = 0
  configs['center_crop_num'] = 0
  configs['slide_crop_num'] = 0
  configs['slide_crop_old_num'] = 0
  #*************************************train parameters**********************************************
  configs['image_size'] = 224
  # configs['channel'] = 3
  configs['channel'] = 3
  configs["batch_size"] = 16
  configs['epoch'] = 200
  configs['final_layer_type'] = "softmax_sparse"
  configs['learning_rate_orig'] = 1e-3
  configs['checkpoint_dir'] = configs['dir_name']+ '/check_points/'
  configs['num_classes'] = 3
  configs['VGG_MEAN'] = [103.94,116.78,123.68]
  configs['_BATCH_NORM_DECAY'] = 0.997
  configs['_BATCH_NORM_EPSILON'] = 1e-5
  configs['save_frequency'] = 100
  #************************************device parameters**********************************************
  configs["num_gpus"] = 1
  configs["dev"] = '/gpu:1'  #'/cpu:0'
  configs['GPU'] = '3'	
  # configs["dev"] = '/cpu:0'  #'/cpu:0'
  configs['tensorboard_dir'] = configs['dir_name'] + '/Tfboard/Result/'
  configs['tensorboard_on'] = True
  configs['tensorboard_refresh'] = 50
  #************************************evaluate parameters********************************************
  configs['test_num'] = 20
  
  