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Adding Pedestrian Detection Models for x86 #116

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alpha-carinae29 opened this issue May 20, 2020 · 5 comments · May be fixed by galliot-us/smart-social-distancing#12
Closed

Adding Pedestrian Detection Models for x86 #116

alpha-carinae29 opened this issue May 20, 2020 · 5 comments · May be fixed by galliot-us/smart-social-distancing#12

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@alpha-carinae29
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Hi everyone,
I found out that only one model is available for x86 devices and this model is a COCO pre-trained model.
So I decided to train different pedestrian detection model with TensorFlow object detection API. I have trained three different object detector with Oxford Town Center dataset so far and I wanted to upload these models somewhere so I can download them in smart distancing app, however usually these models have large size and GitHub repositories may be not the best platform for uploading them.
@mhejrati what is your suggestions?
@mhejrati
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We use this repo for that purpose:
https://github.com/neuralet/neuralet-models

Make a PR there and I can merge.

@alpha-carinae29
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Yeah but some of the model's checkpoints are above 100MB and GitHub have restrictions on large files.

@mrn-mln
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mrn-mln commented May 23, 2020

@alpha-carinae29 instead of checkpoints just add a frozen graph (.pb file) to the repo.

@alpha-carinae29
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Thanks @mrn-mln, however .pb files for faster RCNN models are above 100MB

@alpha-carinae29
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@mhejrati I pushed two models in here:
galliot-us/models#6

This was referenced May 25, 2020
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@mhejrati mhejrati closed this as completed Jun 3, 2020
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@mhejrati @alpha-carinae29 @mrn-mln