Adding mean cube file in numpy format

Author: Chuck Cho

configure.py

@@ -1,7 +1,7 @@
 import os
 
 # Directories
-DIR_HOME    = '/media/6TB'
+DIR_HOME    = '/media/6TB/Videos'
 DIR_CKPT    = 'checkpoints'
 DIR_LST     = 'lists'
 DIR_MODEL   = 'models'
@@ -13,8 +13,8 @@
 DIR_DATA       = os.path.join(DIR_HOME, 'UCF-101')
 
 # Lists
-PTH_TRAIN_LST  = os.path.join(DIR_LST, 'train_01.lst')
-PTH_EVAL_LST   = os.path.join(DIR_LST, 'test_01.lst')
+PTH_TRAIN_LST  = '/media/6TB/Videos/UCF-101/train_test_split/c3d_ucf101_train_split1.txt'
+PTH_EVAL_LST   = '/media/6TB/Videos/UCF-101/train_test_split/c3d_ucf101_test_split1.txt'
 PTH_CATEGORIES = os.path.join(DIR_LST, 'categories.lst')
 #IMAGE_FORMAT   = '{:06d}.jpg'
 IMAGE_FORMAT   = 'image_{:04d}.jpg'

models/train01_16_128_171_mean.npy

@@ -132,8 +132,7 @@ def do_eval(
         tmp_ = sess.run(eval_correct, feed_dict=fd)
         # If data was partially filled in a batch, count only those
         num_valid = stop_idx - start_idx
-        tmp_ = tmp_[0:num_valid]
-        #print "[Debug] eval_correct={}".format(tmp_)
+        tmp_ = tmp_[:num_valid]
         true_count_per_batch = sess.run(tf.reduce_sum(tmp_))
         true_count += true_count_per_batch
         start_idx = stop_idx
@@ -156,7 +155,7 @@ def run_training(
         tag):
 
     # For training, subsample training/eval data sets (if >1)
-    subsample_rate = 1
+    subsample_rate = 10
     # For periodic evaluation, subsample training/eval data sets (if >1)
     eval_subsample_rate = 100