Show HN: OpenCV based multi-object-tracker with various object detection models
1–10 of 22 posts
Re: Show HN: OpenCV based multi-object-tracker with various object detection models
#2There arw thousands of these repositories all over the place...
Re: Show HN: OpenCV based multi-object-tracker with various object detection models
#3There arw thousands of these repositories all over the place...
Okay, I am not sure about others. But I was working on this as a fun project. And I wanted to share my work. Hope you find it useful and please let me know your suggestions and any additional improvements I can make.
Re: Show HN: OpenCV based multi-object-tracker with various object detection models
#4I work a lot with object detection at my current role.
Would be cool to add Detectron 2, seems that this library that has some of the state of the art(SOTA) models in object detection. https://github.com/facebookresearch/detectron2
Also the TF Object Detection API has a suite of pretrained SOTA object detection models https://github.com/tensorflow/models/tree/master/research/ob...
What makes object detection really valuable is being able to finetune a model to detect objects that are relevant to your problem. However collecting, labeling, takes a lot of time since the best way is to manually label. But 30-50 hrs of manual labeling can get you some great results when you are leveraging pretrained models. Building a tool to manage data labeling and training for finetuning object detection models would be very valuable.
Re: Show HN: OpenCV based multi-object-tracker with various object detection models
#5Have you tried using object attributes/features to enable tracking instead of IOU-based tracking? I suspect this tracker falls apart when there are significant obstructions. Thoughts on a Recurrent YOLO or DeepSORT based tracker?
Re: Show HN: OpenCV based multi-object-tracker with various object detection models
#6I work a lot with object detection at my current role. Would be cool to add Detectron 2, seems that this library that has some of the state of the art(SOTA) models in object detection. https://github.com/facebookresearch/detectron2 Also the TF Object Detection API has a suite of pretrained SOTA object detection models https://github.com/tensorflow/models/tree/master/research/ob... What makes object detection really v…
Also, what is a hard but an important question to figure out is how well are these models are preforming, and will they perform well to your problem. This paper gives a lot of insight into how image size and other factors really impact performance of modern object detection: https://arxiv.org/pdf/1611.10012.pdf. How large or small your object is in your dataset is also something to consider since there is a limit to how small of an object your detector can recognize.
Also, I would recommend this repo to better understand how object detection models are evaluated as well: https://github.com/rafaelpadilla/Object-Detection-Metrics
Re: Show HN: OpenCV based multi-object-tracker with various object detection models
#7I work a lot with object detection at my current role. Would be cool to add Detectron 2, seems that this library that has some of the state of the art(SOTA) models in object detection. https://github.com/facebookresearch/detectron2 Also the TF Object Detection API has a suite of pretrained SOTA object detection models https://github.com/tensorflow/models/tree/master/research/ob... What makes object detection really v…
> Building a tool to manage data labeling and training for finetuning object detection models would be very valuable.
Something like recaptcha?
Re: Show HN: OpenCV based multi-object-tracker with various object detection models
#8I work a lot with object detection at my current role. Would be cool to add Detectron 2, seems that this library that has some of the state of the art(SOTA) models in object detection. https://github.com/facebookresearch/detectron2 Also the TF Object Detection API has a suite of pretrained SOTA object detection models https://github.com/tensorflow/models/tree/master/research/ob... What makes object detection really v…
@mendeza, Thank you for the feedback. I am planning to add detectron models as well to this repository.
Initial intention of this project was to avoid direct dependency of any deep learning framework. I have only used pre-trained models and opencv for this project.
Making a tool for data labeling is an awesome idea. I will definitely like to work on it. We can collaborate on this if possible. You are also welcome to send in your pull requests.
Re: Show HN: OpenCV based multi-object-tracker with various object detection models
#9Have you tried using object attributes/features to enable tracking instead of IOU-based tracking? I suspect this tracker falls apart when there are significant obstructions. Thoughts on a Recurrent YOLO or DeepSORT based tracker?
Yes. I am actually looking into this idea. I thought instead of recurrent yolo, Correlation Filter is much simpler.
I was referring the following papers:
1. https://ethz.ch/content/dam/ethz/special-interest/baug/igp/p...
2. https://zpascal.net/cvpr2018/He_A_Twofold_Siamese_CVPR_2018_...
3. http://openaccess.thecvf.com/content_ECCV_2018/papers/Yunhua...
Re: Show HN: OpenCV based multi-object-tracker with various object detection models
#10I work a lot with object detection at my current role. Would be cool to add Detectron 2, seems that this library that has some of the state of the art(SOTA) models in object detection. https://github.com/facebookresearch/detectron2 Also the TF Object Detection API has a suite of pretrained SOTA object detection models https://github.com/tensorflow/models/tree/master/research/ob... What makes object detection really v…
Facebook has such awesome AI tools open sourced. I am more impressed with their code than Google