add comments

Author: rrlyman

q1_database_statistics.py

@@ -1,4 +1,9 @@
 '''
+
+dumps out some statistics for the fonts.zip database and
+makes plots, saved in files, of characters for each fontVariant found in 
+the database
+
 Created on Jul 25, 2016
 @author: richard
 '''

q2_tensorflow_mnist.py

@@ -32,7 +32,9 @@
 import numpy as np
 import pandas as pd
 
-   
+import tensorflow as tf  
+#with tf.device('/gpu:0'):
+#with tf.device('/cpu:0'):    
 def train_a_font(input_filters_dict,output_feature_list, nEpochs=5000):
 
     ds = ocr_utils.read_data(input_filters_dict = input_filters_dict, 
@@ -47,7 +49,7 @@ def train_a_font(input_filters_dict,output_feature_list, nEpochs=5000):
     
     """# ==============================================================================
 
-    import tensorflow as tf
+
     sess = tf.InteractiveSession()
 
     """# ==============================================================================
@@ -243,7 +245,7 @@ def max_pool_2x2(x):
     for i in range(4):
         tm += str(tp[i])+'-'
     tm += str(tp[4])    
-    writer = tf.train.SummaryWriter("/tmp/ds_logs/"+ tm, sess.graph_def)
+    writer = tf.train.SummaryWriter("/tmp/ds_logs/"+ tm, sess.graph)
 
     # To see the results in Chrome, 
     # Run the following in terminal to activate server.
@@ -338,7 +340,7 @@ def computeSize(s,tens):
     # input_filters_dict = {'font': ('OCRA','OCRB'), 'fontVariant':('scanned',)}
 
     # select everything; all fonts , font variants, etc.
-    # input_filters_dict = {}
+    input_filters_dict = {}
 
     # select the digits 0 through 9 in the E13B font
     # input_filters_dict = {'m_label': range(48,58), 'font': 'E13B'}
@@ -356,9 +358,9 @@ def computeSize(s,tens):
     #output_feature_list = ['font_one_hot','image','italic','aspect_ratio','upper_case']   
 
     # train the digits 0-9 for all fonts
-    input_filters_dict = {'m_label': range(48,58)}
+    #input_filters_dict = {'m_label': range(48,58)}
     output_feature_list = ['m_label_one_hot','image','italic','aspect_ratio','upper_case']    
-    train_a_font(input_filters_dict,  output_feature_list, nEpochs = 5000)    
+    train_a_font(input_filters_dict,  output_feature_list, nEpochs = 50000)    
 
 else:
     # loop through all the fonts and train individually
@@ -377,6 +379,6 @@ def computeSize(s,tens):
         input_filters_dict= {'font': (l[0],)}       
         train_a_font(input_filters_dict,output_feature_list, nEpochs = 500) 
 
-    
+
 print ('\n########################### No Errors ####################################')