samples_frames_1_from_5

src/main.py

@@ -3,10 +3,11 @@
 import os
 import glob
 import summary_from_frame_list
+import datetime
 from shutil import copyfile
 
 def run():
-
+    t1 = datetime.datetime.now()
     print("**************** Give the details of the video which need to summarise ****************\n")
 
     original_video_location = input("Enter the video path (Ex: ./data/input_video/input_video.mp4) :\n")
@@ -60,6 +61,6 @@ def run():
         copyfile(source, destination)
 
     print("\n**************** Keyframes moved to the ./test_data/generated_summary_keyframes/ location ****************")
-
+    elapsed_time = datetime.datetime.now() -
 if __name__ == "__main__":
     run()

src/test_objects_identifier_of_frames.py

@@ -15,15 +15,19 @@
 '''
 
 import objects_identifier_of_frames
+import datetime;
 
 def run():
     # image folder
-    input_frames_path = "./data/generated_frames/"
+    input_frames_path = "./test_data/generated_frames/"
 
     # dimensions of images
     img_width, img_height = 224, 224
+    t1 = datetime.datetime.now()
     frames_predictions_dictionary = objects_identifier_of_frames.generate_object_list_of_frames(input_frames_path, img_width, img_height )
-
+    t2 = datetime.datetime.now()
+    elapsedtime = t2-t1
+    print("elapsed time is"+str(elapsedtime))
     for the_key, the_value in frames_predictions_dictionary.items():
         print(the_key, ' ---> ', the_value)
 

src/video_to_frames.py

@@ -32,20 +32,21 @@ def get_frames(video_input_path, frame_output_path):
         return_status, frame = video_capture.read()
 
         current_frame = 0
-
+        counter = 0
         while(return_status):
 
-            # Saving the current frame's image as a jpg file
-            frame_location = frame_output_path+"frame" + str(current_frame) + ".jpg"
-            print ("Creating..." + frame_location)
-            cv2.imwrite(frame_location, frame)
+            if(counter==4):
+                # Saving the current frame's image as a jpg file
+                frame_location = frame_output_path+"frame" + str(current_frame) + ".jpg"
+                print ("Creating..." + frame_location)
+                cv2.imwrite(frame_location, frame)
+                # Increasing the current frame value for the next frame
+                current_frame += 1
+                counter = 0
 
             # Capture frame-by-frame
             return_status, frame = video_capture.read()
-
-            # Increasing the current frame value for the next frame
-            current_frame += 1
-
+            counter +=1
         # Release the capture
         video_capture.release()
         cv2.destroyAllWindows()