Tensorflow: Does object detection API returns detected object id












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I am using the tensorflow object detection api on windows system and it has been working fine. I am using the pre-trained model as of now which is ssd_mobilenet_v1_coco_11_06_2017. It is easily detecting all the objects in a given input video. I wanted to record time of each object so lets say, if in a video a car enters at 00:05 and leaves at 00:15 which means that it was in for 10secs.



To achieve this, I was looking if there is anything like id of each detected object which the API returns so that I can start a timer from the code to calculate the time of an object. Is there any already built functionality for this in the API.?










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    I am using the tensorflow object detection api on windows system and it has been working fine. I am using the pre-trained model as of now which is ssd_mobilenet_v1_coco_11_06_2017. It is easily detecting all the objects in a given input video. I wanted to record time of each object so lets say, if in a video a car enters at 00:05 and leaves at 00:15 which means that it was in for 10secs.



    To achieve this, I was looking if there is anything like id of each detected object which the API returns so that I can start a timer from the code to calculate the time of an object. Is there any already built functionality for this in the API.?










    share|improve this question

























      0












      0








      0








      I am using the tensorflow object detection api on windows system and it has been working fine. I am using the pre-trained model as of now which is ssd_mobilenet_v1_coco_11_06_2017. It is easily detecting all the objects in a given input video. I wanted to record time of each object so lets say, if in a video a car enters at 00:05 and leaves at 00:15 which means that it was in for 10secs.



      To achieve this, I was looking if there is anything like id of each detected object which the API returns so that I can start a timer from the code to calculate the time of an object. Is there any already built functionality for this in the API.?










      share|improve this question














      I am using the tensorflow object detection api on windows system and it has been working fine. I am using the pre-trained model as of now which is ssd_mobilenet_v1_coco_11_06_2017. It is easily detecting all the objects in a given input video. I wanted to record time of each object so lets say, if in a video a car enters at 00:05 and leaves at 00:15 which means that it was in for 10secs.



      To achieve this, I was looking if there is anything like id of each detected object which the API returns so that I can start a timer from the code to calculate the time of an object. Is there any already built functionality for this in the API.?







      tensorflow object-detection-api






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      asked Nov 13 '18 at 14:42









      S AndrewS Andrew

      719937




      719937
























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          Tensorflow Object detection does not provide such functionality, but you can user KFC algorithm(easily available using Open CV) to track the object.



          https://www.docs.opencv.org/3.4.1/d2/dff/classcv_1_1TrackerKCF.html



          or You can implement SORT above object detection API which uses Kalman Filter but easy to integrate.



          https://github.com/abewley/sort/blob/master/sort.py






          share|improve this answer
























          • Thanks. Do you have any reference example for this.

            – S Andrew
            Nov 14 '18 at 6:38











          • @SAndrew, Follow the link for Keras implementation of yolo3 and sort tracking: github.com/Qidian213/deep_sort_yolov3

            – Arjun Kava
            Nov 14 '18 at 6:43



















          0














          The Tensorflow Object Detection API does not currently track objects between frames.






          share|improve this answer























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            2 Answers
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            2 Answers
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            0














            Tensorflow Object detection does not provide such functionality, but you can user KFC algorithm(easily available using Open CV) to track the object.



            https://www.docs.opencv.org/3.4.1/d2/dff/classcv_1_1TrackerKCF.html



            or You can implement SORT above object detection API which uses Kalman Filter but easy to integrate.



            https://github.com/abewley/sort/blob/master/sort.py






            share|improve this answer
























            • Thanks. Do you have any reference example for this.

              – S Andrew
              Nov 14 '18 at 6:38











            • @SAndrew, Follow the link for Keras implementation of yolo3 and sort tracking: github.com/Qidian213/deep_sort_yolov3

              – Arjun Kava
              Nov 14 '18 at 6:43
















            0














            Tensorflow Object detection does not provide such functionality, but you can user KFC algorithm(easily available using Open CV) to track the object.



            https://www.docs.opencv.org/3.4.1/d2/dff/classcv_1_1TrackerKCF.html



            or You can implement SORT above object detection API which uses Kalman Filter but easy to integrate.



            https://github.com/abewley/sort/blob/master/sort.py






            share|improve this answer
























            • Thanks. Do you have any reference example for this.

              – S Andrew
              Nov 14 '18 at 6:38











            • @SAndrew, Follow the link for Keras implementation of yolo3 and sort tracking: github.com/Qidian213/deep_sort_yolov3

              – Arjun Kava
              Nov 14 '18 at 6:43














            0












            0








            0







            Tensorflow Object detection does not provide such functionality, but you can user KFC algorithm(easily available using Open CV) to track the object.



            https://www.docs.opencv.org/3.4.1/d2/dff/classcv_1_1TrackerKCF.html



            or You can implement SORT above object detection API which uses Kalman Filter but easy to integrate.



            https://github.com/abewley/sort/blob/master/sort.py






            share|improve this answer













            Tensorflow Object detection does not provide such functionality, but you can user KFC algorithm(easily available using Open CV) to track the object.



            https://www.docs.opencv.org/3.4.1/d2/dff/classcv_1_1TrackerKCF.html



            or You can implement SORT above object detection API which uses Kalman Filter but easy to integrate.



            https://github.com/abewley/sort/blob/master/sort.py







            share|improve this answer












            share|improve this answer



            share|improve this answer










            answered Nov 14 '18 at 3:28









            Arjun KavaArjun Kava

            38929




            38929













            • Thanks. Do you have any reference example for this.

              – S Andrew
              Nov 14 '18 at 6:38











            • @SAndrew, Follow the link for Keras implementation of yolo3 and sort tracking: github.com/Qidian213/deep_sort_yolov3

              – Arjun Kava
              Nov 14 '18 at 6:43



















            • Thanks. Do you have any reference example for this.

              – S Andrew
              Nov 14 '18 at 6:38











            • @SAndrew, Follow the link for Keras implementation of yolo3 and sort tracking: github.com/Qidian213/deep_sort_yolov3

              – Arjun Kava
              Nov 14 '18 at 6:43

















            Thanks. Do you have any reference example for this.

            – S Andrew
            Nov 14 '18 at 6:38





            Thanks. Do you have any reference example for this.

            – S Andrew
            Nov 14 '18 at 6:38













            @SAndrew, Follow the link for Keras implementation of yolo3 and sort tracking: github.com/Qidian213/deep_sort_yolov3

            – Arjun Kava
            Nov 14 '18 at 6:43





            @SAndrew, Follow the link for Keras implementation of yolo3 and sort tracking: github.com/Qidian213/deep_sort_yolov3

            – Arjun Kava
            Nov 14 '18 at 6:43













            0














            The Tensorflow Object Detection API does not currently track objects between frames.






            share|improve this answer




























              0














              The Tensorflow Object Detection API does not currently track objects between frames.






              share|improve this answer


























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                0








                0







                The Tensorflow Object Detection API does not currently track objects between frames.






                share|improve this answer













                The Tensorflow Object Detection API does not currently track objects between frames.







                share|improve this answer












                share|improve this answer



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                answered Nov 13 '18 at 22:56









                Derek ChowDerek Chow

                58416




                58416






























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