|
|
@@ -84,7 +84,7 @@ def build_input(df, seq_norm, p_chanels):
|
|
|
img = cv2.imread(img_path)
|
|
|
else:
|
|
|
img = cv2.imread(img_path, cv2.IMREAD_GRAYSCALE)
|
|
|
- img = cv2.resize(img, (50, 50))
|
|
|
+ img = cv2.resize(img, (50, 50))
|
|
|
|
|
|
# normalization of images
|
|
|
seq_elems.append(np.array(img, 'float16') / 255.)
|
|
|
@@ -354,6 +354,10 @@ def main():
|
|
|
plt.legend(['train', 'test'], loc='upper left')
|
|
|
|
|
|
model_history = os.path.join(cfg.output_results_folder, p_output + '.png')
|
|
|
+
|
|
|
+ if not os.path.exists(cfg.output_results_folder):
|
|
|
+ os.makedirs(cfg.output_results_folder)
|
|
|
+
|
|
|
plt.savefig(model_history)
|
|
|
|
|
|
# save model using keras API
|
