Loading nn_ds_inmem4_tmp.py +5 −2 Original line number Original line Diff line number Diff line Loading @@ -153,7 +153,8 @@ n_allowed_train_filesTFR = min(MAX_TRAIN_FILES_TFR,len(train_filesTFR)) import tensorflow as tf import tensorflow as tf import tensorflow.contrib.slim as slim import tensorflow.contrib.slim as slim print_time("Importing training data... ", end="") #print_time("Importing training data... ", end="") print_time("Importing training data... ") corr2d_trains = [None]*n_allowed_train_filesTFR corr2d_trains = [None]*n_allowed_train_filesTFR target_disparity_trains = [None]*n_allowed_train_filesTFR target_disparity_trains = [None]*n_allowed_train_filesTFR Loading @@ -162,6 +163,7 @@ gt_ds_trains = [None]*n_allowed_train_filesTFR # Load maximum files from the list # Load maximum files from the list for i in range(n_allowed_train_filesTFR): for i in range(n_allowed_train_filesTFR): corr2d_trains[i], target_disparity_trains[i], gt_ds_trains[i] = readTFRewcordsEpoch(train_filesTFR[i]) corr2d_trains[i], target_disparity_trains[i], gt_ds_trains[i] = readTFRewcordsEpoch(train_filesTFR[i]) print_time("Parsed "+train_filesTFR[i]) corr2d_train = corr2d_trains[0] corr2d_train = corr2d_trains[0] target_disparity_train = target_disparity_trains[0] target_disparity_train = target_disparity_trains[0] Loading Loading @@ -446,6 +448,7 @@ with tf.Session() as sess: for epoch in range(EPOCHS_TO_RUN): for epoch in range(EPOCHS_TO_RUN): train_file_index = epoch%n_allowed_train_filesTFR train_file_index = epoch%n_allowed_train_filesTFR print("train_file_index: "+str(train_file_index)) if epoch%10==0: if epoch%10==0: Loading Loading
nn_ds_inmem4_tmp.py +5 −2 Original line number Original line Diff line number Diff line Loading @@ -153,7 +153,8 @@ n_allowed_train_filesTFR = min(MAX_TRAIN_FILES_TFR,len(train_filesTFR)) import tensorflow as tf import tensorflow as tf import tensorflow.contrib.slim as slim import tensorflow.contrib.slim as slim print_time("Importing training data... ", end="") #print_time("Importing training data... ", end="") print_time("Importing training data... ") corr2d_trains = [None]*n_allowed_train_filesTFR corr2d_trains = [None]*n_allowed_train_filesTFR target_disparity_trains = [None]*n_allowed_train_filesTFR target_disparity_trains = [None]*n_allowed_train_filesTFR Loading @@ -162,6 +163,7 @@ gt_ds_trains = [None]*n_allowed_train_filesTFR # Load maximum files from the list # Load maximum files from the list for i in range(n_allowed_train_filesTFR): for i in range(n_allowed_train_filesTFR): corr2d_trains[i], target_disparity_trains[i], gt_ds_trains[i] = readTFRewcordsEpoch(train_filesTFR[i]) corr2d_trains[i], target_disparity_trains[i], gt_ds_trains[i] = readTFRewcordsEpoch(train_filesTFR[i]) print_time("Parsed "+train_filesTFR[i]) corr2d_train = corr2d_trains[0] corr2d_train = corr2d_trains[0] target_disparity_train = target_disparity_trains[0] target_disparity_train = target_disparity_trains[0] Loading Loading @@ -446,6 +448,7 @@ with tf.Session() as sess: for epoch in range(EPOCHS_TO_RUN): for epoch in range(EPOCHS_TO_RUN): train_file_index = epoch%n_allowed_train_filesTFR train_file_index = epoch%n_allowed_train_filesTFR print("train_file_index: "+str(train_file_index)) if epoch%10==0: if epoch%10==0: Loading