Add final paper, Add several featuremaps, etc

@@ -8,8 +8,7 @@ import esot3ria.video_recommender as recommender
 import esot3ria.video_util as videoutil
 import esot3ria.video_util as videoutil
 
 
 # Define file paths.
 # Define file paths.
-MODEL_PATH = "/Users/esot3ria/PycharmProjects/yt8m/models/frame/" \
-             "refined_model/inference_model/segment_inference_model"
+MODEL_PATH = "/Users/esot3ria/PycharmProjects/yt8m/models/frame/refined_model/inference_model/segment_inference_model"
 VOCAB_PATH = "../vocabulary.csv"
 VOCAB_PATH = "../vocabulary.csv"
 VIDEO_TAGS_PATH = "./kaggle_solution_40k.csv"
 VIDEO_TAGS_PATH = "./kaggle_solution_40k.csv"
 TAG_VECTOR_MODEL_PATH = "./tag_vectors.model"
 TAG_VECTOR_MODEL_PATH = "./tag_vectors.model"
@@ -218,6 +217,6 @@ def inference_pb(file_path):
 
 
 
 
 if __name__ == '__main__':
 if __name__ == '__main__':
-    filepath = "features.pb"
+    filepath = "../featuremaps/features(yorusika).pb"
     result = inference_pb(filepath)
     result = inference_pb(filepath)
     print(result)
     print(result)

@@ -335,7 +335,11 @@ def inference(reader, train_dir, data_pattern, out_file_location, batch_size,
         cls_score_dict = {}
         cls_score_dict = {}
         out_file.seek(0, 0)
         out_file.seek(0, 0)
         old_seg_name = '0000'
         old_seg_name = '0000'
+        counter = 0
         for line in out_file:
         for line in out_file:
+          counter += 1
+          if counter / 5000 == 0:
+              print(counter, " processed")
           segment_id, preds = line.decode("utf8").split(",")
           segment_id, preds = line.decode("utf8").split(",")
           if segment_id == "VideoId":
           if segment_id == "VideoId":
             # Skip the headline.
             # Skip the headline.