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-rw-r--r--Code/avg_runner.py5
-rw-r--r--Code/constants.py4
2 files changed, 7 insertions, 2 deletions
diff --git a/Code/avg_runner.py b/Code/avg_runner.py
index 5bf1e90..18bc592 100644
--- a/Code/avg_runner.py
+++ b/Code/avg_runner.py
@@ -1,6 +1,7 @@
import tensorflow as tf
import getopt
import sys
+import os
from utils import get_train_batch, get_test_batch
import constants as c
@@ -158,6 +159,10 @@ def main():
if opt == '--model_save_freq':
c.MODEL_SAVE_FREQ = int(arg)
+ # set test frame dimensions
+ assert os.path.exists(c.TEST_DIR)
+ c.TEST_HEIGHT, c.TEST_WIDTH = c.get_test_frame_dims()
+
##
# Init and run the predictor
##
diff --git a/Code/constants.py b/Code/constants.py
index afe8f9d..e0c2485 100644
--- a/Code/constants.py
+++ b/Code/constants.py
@@ -75,8 +75,8 @@ MOVEMENT_THRESHOLD = 100
# total number of processed clips in TRAIN_DIR_CLIPS
NUM_CLIPS = len(glob(TRAIN_DIR_CLIPS + '*'))
-# the height and width of the full frames to test on
-TEST_HEIGHT, TEST_WIDTH = get_test_frame_dims()
+# the height and width of the full frames to test on. Set in avg_runner.py main.
+TEST_HEIGHT, TEST_WIDTH = 0
# the height and width of the patches to train on
TRAIN_HEIGHT = TRAIN_WIDTH = 32