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Today's Topics:
1. Re: Python object-detection post-hook repo (Greg Thomas)
2. correct aspect ratio with passtrough (Joshua Moninger)
3. Re: Python object-detection post-hook repo (Yash Sondhi)
4. Re: Python object-detection post-hook repo (Yash Sondhi)
----------------------------------------------------------------------
Message: 1
Date: Sun, 15 Aug 2021 19:58:37 +1200
From: Greg Thomas <geete...@gmail.com>
To: Motion discussion list <motion-user@lists.sourceforge.net>
Subject: Re: [Motion-user] Python object-detection post-hook repo
Message-ID:
<cage5y2dr+dmxtfxbja95v4gnzkztwqg3crxuuhjxjhdyxqk...@mail.gmail.com>
Content-Type: text/plain; charset="utf-8"
Hi Peter,
I did something similar, I'm running a Pi4 with the coral TPU. I send
the images rather than the movies (publishing the filename) to the Pi via
MQTT, and I built a small server application to handle multiple cameras,
using the Coco SSDMobilenet model from the Google TPU example site. I also
limited the objects detected to those in interested in so only a subset of
the standard 90 in the COCO set.
Works pretty well generally speaking, but I'm having difficulty with night
time images - does you setup handle night time images/movies reliably?
Regards
On Fri, 13 Aug 2021, 8:13 am Peter Torelli, <peter.j.tore...@gmail.com>
wrote:
> A few months ago I asked this list if there was a way to natively perform
> object detection inside the main motion code. Since that isn't feasible,
> and since I didn't get a response with existing projects, I wrote a quick
> post-processor that uses SSD Mobilenet trained on COCO running on the
> Google Coral USB Accelerator. I got tired of wrangling the DeepStream SDK
> additions to GStreamer on my Xavier AGX, so this is a nice compromise.
>
> https://github.com/petertorelli/motion-nnet
>
> Basically it is a server that analyzes the component pictures of an event
> movie, and if it detects one of the 90 classes, it moves that MP4 to
> another folder (or you could push it to the cloud, or whatever). It cuts
> back on having to look at lots of shadows during the day, or bugs and rain
> at night. The server is triggered by a call from motion after a movie write
> event to the client python script that takes %f as the input parameter. The
> files must start with %v for the event so that the server knows which
> pictures to scan.
>
> Hopefully someone finds this useful, as I'm glad to not have to sort
> through hundreds of bogus movies (Caveat: SSDMobileNet isn't as good as a
> big ResNet with classical feature extraction, so you won't get
> everything... this is just a first shot at cutting back on noise).
>
> Peter
>
>
>
> _______________________________________________
> Motion-user mailing list
> Motion-user@lists.sourceforge.net
> https://lists.sourceforge.net/lists/listinfo/motion-user
> https://motion-project.github.io/
>
> Unsubscribe: https://lists.sourceforge.net/lists/options/motion-user
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Message: 2
Date: Sun, 15 Aug 2021 11:32:08 +0300
From: Joshua Moninger <joshnig...@yandex.com>
To: motion-user@lists.sourceforge.net
Subject: [Motion-user] correct aspect ratio with passtrough
Message-ID: <20375681629016...@sas1-767e5596d8d7.qloud-c.yandex.net>
Content-Type: text/plain
Hello. Motion is working well with movie_passthrough on.
Our IP cameras' D1 resolution is a bit narrower than it should be:
704x576 vs 768x576
How to add ' -bsf:v "h264_metadata=sample_aspect_ratio=4/3" or -aspect 4:3 to
the ffmpeg process?
https://superuser.com/questions/907933/correct-aspect-ratio-without-re-encoding-video-file
The storage medium is a usb flash drive hence the desire to avoid additional
writes.
Thank you.
------------------------------
Message: 3
Date: Sun, 15 Aug 2021 05:27:29 -0400
From: Yash Sondhi <ysond...@fiu.edu>
To: Motion discussion list <motion-user@lists.sourceforge.net>
Subject: Re: [Motion-user] Python object-detection post-hook repo
Message-ID:
<capzyv8jsm01z0agj4rubzqsdmayi9jannugmuywh73cvgtx...@mail.gmail.com>
Content-Type: text/plain; charset="utf-8"
Hi Peter,
This is super useful, I have been using motion to monitor activity of
insects in the field and have the same issue. Would the script also work
for images, though I guess I could post facto stitch the images into short
movies.
Cheers
On Thu, 12 Aug 2021, 16:11 Peter Torelli, <peter.j.tore...@gmail.com> wrote:
> A few months ago I asked this list if there was a way to natively perform
> object detection inside the main motion code. Since that isn't feasible,
> and since I didn't get a response with existing projects, I wrote a quick
> post-processor that uses SSD Mobilenet trained on COCO running on the
> Google Coral USB Accelerator. I got tired of wrangling the DeepStream SDK
> additions to GStreamer on my Xavier AGX, so this is a nice compromise.
>
> https://github.com/petertorelli/motion-nnet
>
> Basically it is a server that analyzes the component pictures of an event
> movie, and if it detects one of the 90 classes, it moves that MP4 to
> another folder (or you could push it to the cloud, or whatever). It cuts
> back on having to look at lots of shadows during the day, or bugs and rain
> at night. The server is triggered by a call from motion after a movie write
> event to the client python script that takes %f as the input parameter. The
> files must start with %v for the event so that the server knows which
> pictures to scan.
>
> Hopefully someone finds this useful, as I'm glad to not have to sort
> through hundreds of bogus movies (Caveat: SSDMobileNet isn't as good as a
> big ResNet with classical feature extraction, so you won't get
> everything... this is just a first shot at cutting back on noise).
>
> Peter
>
>
>
> _______________________________________________
> Motion-user mailing list
> Motion-user@lists.sourceforge.net
> https://lists.sourceforge.net/lists/listinfo/motion-user
> https://motion-project.github.io/
>
> Unsubscribe: https://lists.sourceforge.net/lists/options/motion-user
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Message: 4
Date: Sun, 15 Aug 2021 05:28:39 -0400
From: Yash Sondhi <ysond...@fiu.edu>
To: Motion discussion list <motion-user@lists.sourceforge.net>
Subject: Re: [Motion-user] Python object-detection post-hook repo
Message-ID:
<capzyv8lchdq-v+ocpmwkkaa2dpkswrfu3nqatuwmcnaah0k...@mail.gmail.com>
Content-Type: text/plain; charset="utf-8"
Hi Greg,
That sounds super useful, would you be able to share the code for that?
Cheers
On Sun, 15 Aug 2021, 03:59 Greg Thomas, <geete...@gmail.com> wrote:
> Hi Peter,
> I did something similar, I'm running a Pi4 with the coral TPU. I send
> the images rather than the movies (publishing the filename) to the Pi via
> MQTT, and I built a small server application to handle multiple cameras,
> using the Coco SSDMobilenet model from the Google TPU example site. I also
> limited the objects detected to those in interested in so only a subset of
> the standard 90 in the COCO set.
>
> Works pretty well generally speaking, but I'm having difficulty with night
> time images - does you setup handle night time images/movies reliably?
>
> Regards
>
>
>
> On Fri, 13 Aug 2021, 8:13 am Peter Torelli, <peter.j.tore...@gmail.com>
> wrote:
>
>> A few months ago I asked this list if there was a way to natively perform
>> object detection inside the main motion code. Since that isn't feasible,
>> and since I didn't get a response with existing projects, I wrote a quick
>> post-processor that uses SSD Mobilenet trained on COCO running on the
>> Google Coral USB Accelerator. I got tired of wrangling the DeepStream SDK
>> additions to GStreamer on my Xavier AGX, so this is a nice compromise.
>>
>> https://github.com/petertorelli/motion-nnet
>>
>> Basically it is a server that analyzes the component pictures of an event
>> movie, and if it detects one of the 90 classes, it moves that MP4 to
>> another folder (or you could push it to the cloud, or whatever). It cuts
>> back on having to look at lots of shadows during the day, or bugs and rain
>> at night. The server is triggered by a call from motion after a movie write
>> event to the client python script that takes %f as the input parameter. The
>> files must start with %v for the event so that the server knows which
>> pictures to scan.
>>
>> Hopefully someone finds this useful, as I'm glad to not have to sort
>> through hundreds of bogus movies (Caveat: SSDMobileNet isn't as good as a
>> big ResNet with classical feature extraction, so you won't get
>> everything... this is just a first shot at cutting back on noise).
>>
>> Peter
>>
>>
>>
>> _______________________________________________
>> Motion-user mailing list
>> Motion-user@lists.sourceforge.net
>> https://lists.sourceforge.net/lists/listinfo/motion-user
>> https://motion-project.github.io/
>>
>> Unsubscribe: https://lists.sourceforge.net/lists/options/motion-user
>
> _______________________________________________
> Motion-user mailing list
> Motion-user@lists.sourceforge.net
> https://lists.sourceforge.net/lists/listinfo/motion-user
> https://motion-project.github.io/
>
> Unsubscribe: https://lists.sourceforge.net/lists/options/motion-user
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