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MultiboxPeopleDetection #5
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First a disclaimer: I have not trained my own Single Shot Detector (The algorithm behind Multibox People Detection) with Tensorflow, but here is some information that I will read through if I need to train one: Or you can use the original Caffee implementation to train an SSD: https://github.com/weiliu89/caffe/tree/ssd |
thx,lot Mate, I reckon the model to be used in emgu_tf may not be
compatible to that trained in other different ways.
will have look anyway, thanks again for kind reply, it is headache job, but
I like emgu tf though
…On 5 October 2017 at 03:47, Emgu CV ***@***.***> wrote:
First a disclaimer: I have not trained my own Single Shot Detector (The
algorithm behind Multibox People Detection) with Tensorflow, but here is
some information that I will read through if I need to train one:
https://github.com/balancap/SSD-Tensorflow
https://github.com/georgesung/ssd_tensorflow_traffic_sign_detection
https://github.com/seann999/ssd_tensorflow
Or you can use the original Caffee implementation to train an SSD:
https://github.com/weiliu89/caffe/tree/ssd
and use the following tools to convert the Caffee model to Tensorflow:
https://github.com/ethereon/caffe-tensorflow
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How to train emgu_tf ssd
…On 5 October 2017 at 03:47, Emgu CV ***@***.***> wrote:
First a disclaimer: I have not trained my own Single Shot Detector (The
algorithm behind Multibox People Detection) with Tensorflow, but here is
some information that I will read through if I need to train one:
https://github.com/balancap/SSD-Tensorflow
https://github.com/georgesung/ssd_tensorflow_traffic_sign_detection
https://github.com/seann999/ssd_tensorflow
Or you can use the original Caffee implementation to train an SSD:
https://github.com/weiliu89/caffe/tree/ssd
and use the following tools to convert the Caffee model to Tensorflow:
https://github.com/ethereon/caffe-tensorflow
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Hi,
I am emgu official user, and currently try to train own model used for MultiboxPeopleDetection
but really confused how to train my own model used in as MultiboxPeopleDetection.
Thanks
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