Tensorflow: Does object detection API returns detected object id
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
add a comment |
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
add a comment |
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
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
tensorflow object-detection-api
asked Nov 13 '18 at 14:42
S AndrewS Andrew
719937
719937
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2 Answers
2
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oldest
votes
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
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
add a comment |
The Tensorflow Object Detection API does not currently track objects between frames.
add a comment |
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2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
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
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
add a comment |
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
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
add a comment |
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
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
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
add a comment |
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
add a comment |
The Tensorflow Object Detection API does not currently track objects between frames.
add a comment |
The Tensorflow Object Detection API does not currently track objects between frames.
add a comment |
The Tensorflow Object Detection API does not currently track objects between frames.
The Tensorflow Object Detection API does not currently track objects between frames.
answered Nov 13 '18 at 22:56
Derek ChowDerek Chow
58416
58416
add a comment |
add a comment |
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