mid commit

-model_checkpoint_path: "E:/savedModel\\inference_model\\segment_inference_model"
-all_model_checkpoint_paths: "E:/savedModel\\inference_model\\segment_inference_model"

-{"model": "FrameLevelLogisticModel", "feature_sizes": "1024,128", "feature_names": "rgb,audio", "frame_features": true, "label_loss": "CrossEntropyLoss"}
\ No newline at end of file

-model_checkpoint_path: "/root/volume/youtube-8m/saved_model/inference_model/segment_inference_model"
-all_model_checkpoint_paths: "/root/volume/youtube-8m/saved_model/inference_model/segment_inference_model"

-{"model": "FrameLevelLogisticModel", "feature_sizes": "1024,128", "feature_names": "rgb,audio", "frame_features": true, "label_loss": "CrossEntropyLoss"}
\ No newline at end of file

@@ -108,10 +108,13 @@ def recommend_videos(tags, segments, tag_model_path, video_model_path, video_id_
                         error_tags.append(tag)
                     
             kernel[k] = segment_vector
-
+        for t in tagKernel:
+            print(t)
         #여기에서 유사한 벡터들을 뽑아냄
         #현재는 비디오id로 영상을 얻을 수 없으므로 반환값으로 비디오 아이디와 태그들, 확률 사용
         video_tags = pd.read_csv('/mnt/e/khuhub/2015104192/web/backend/yt8m/esot3ria/segment_tags.csv', encoding='utf8',error_bad_lines=False)
+        video_tags_per_id = pd.read_csv('/mnt/e/khuhub/2015104192/web/backend/yt8m/esot3ria/videoIds.csv', encoding='utf8',error_bad_lines=False)
+        videoId_index = 0
         videoVectorList = []
         segmentTagList = []
         prevVideoId = ""
@@ -125,6 +128,17 @@ def recommend_videos(tags, segments, tag_model_path, video_model_path, video_id_
                 prevVideoId = video_id
             
             if video_id[0:4] != prevVideoId[0:4]:
+                
+                currentComparingVideoTags = video_tags_per_id.loc[videoId_index]
+                videoId_index += 1           
+                print(videoTagList)
+                print(currentComparingVideoTags)
+                if (currentComparingVideoTags['segment1'].split(':')[0] not in videoTagList and
+                    currentComparingVideoTags['segment2'].split(':')[0] not in videoTagList and
+                    currentComparingVideoTags['segment3'].split(':')[0] not in videoTagList and
+                    currentComparingVideoTags['segment4'].split(':')[0] not in videoTagList and
+                    currentComparingVideoTags['segment5'].split(':')[0] not in videoTagList):
+                    continue
                 #여기서 모다진걸로 컨볼루션 연산
                 #convmaxima, convidx = convolution(videoVectorList,kernel,prevVideoId)
                 maxima, idx = differenceMax(segmentTagList,tagKernel,tag_vectors,videoTagList)
@@ -365,7 +379,7 @@ VIDEO_ID_MODEL_PATH = "/mnt/e/khuhub/2015104192/web/backend/yt8m/esot3ria/videoI
 
 TEST_TAGS_PATH = "/mnt/e/khuhub/2015104192/web/backend/yt8m/esot3ria/test_segement_tags.csv"
 
-'''
+
 test(TAG_VECTOR_MODEL_PATH,
      VIDEO_VECTOR_MODEL_PATH,
      VIDEO_ID_MODEL_PATH,
@@ -373,4 +387,4 @@ test(TAG_VECTOR_MODEL_PATH,
      VIDEO_TAGS_PATH,
      TEST_TAGS_PATH,
      5)
-     '''
\ No newline at end of file
+     
\ No newline at end of file