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#61
General Discussion and Questions / Re: Propagation accross folder...
Last post by Mario - December 26, 2024, 10:37:37 AM
Sure.

It is irrelevant for IMatch where the versions of a master image are, as long as it can find them. And when it has found them, it can propagate metadata.

Having the master image in one folder, and the versions in a sub-folder or even on a different drive is a pretty common situation.
#62
General Discussion and Questions / Re: Face recognition and keywo...
Last post by Mario - December 26, 2024, 10:35:12 AM
QuoteIf for the new ones I start to using face recognition to speed upthe process, I will end up with a mixed of persons identified as keywords for the old pictures and persons identify by the face recongnition for the new.

Why? If you use the same keywords for persons in IMatch you have manually assigned before, there should be no difference?
I mean, if you assign "Paul" or "Person|Paul" manually or let IMatch do it, the result is the same. Or not? In that case we would need more details from you.

1. 50K images is not that much, Give it a test on 1,000 images to see how fast it is on your PC.

2. Why?
IMatch detects a face and assigns the best matching person. You accept that or change the person.
The keywords of the assigned person are assigned to the image. There is no need to copy anything in an automatic way, or manually.
#63
General Discussion and Questions / Propagation accross folders
Last post by ERBRO - December 26, 2024, 09:24:27 AM
Hello,

Will propagation work accross folders ?  I'm using capture one session and the DNG are in one folder and the output in JPG or TIF are in another one.

Best regards
Eric Bromey
#64
General Discussion and Questions / Re: Face recognition and keywo...
Last post by ERBRO - December 26, 2024, 09:22:03 AM
Hello Mario,

thank you for your quick feedback.

I still try to figure out what is the best option. 

In the past, I added persons as keywords (> 50 000 pictures).   If for the new ones I start to using face recognition to speed upthe process, I will end up with a mixed of persons identified as keywords for the old pictures and persons identify by the face recongnition for the new.

I see as options

1. Run the face recognition on all old pictures what looks to me quite time consuming
2. Copy in an automatic way, the face recognition results of the new pictures to keywords. But I did not find a way to do that

Are the any other options to cope with this mixed situation and to get a consistency for the search (either via face recognition or via keywords) without having to spend to much time on it ?

Best regards
Eric



#65
General Discussion and Questions / Re: Custom Metadata Panel - mi...
Last post by Mario - December 25, 2024, 10:45:12 AM
There is metadata mess. And there is video metadata MESS ;)
#66
General Discussion and Questions / Re: Custom Metadata Panel - mi...
Last post by twofid - December 24, 2024, 09:37:58 PM
Just to close this off.

I was also of the opinion that m2ts and m2t where basically the same format.
However, with the video files I'm working with (which may be unique to my environment) there is a rather big difference in the amount of metadata that they contain. Most notably being the {H264} DateTimeOriginal timestamp.
The m2ts files have it but the m2t do not. I use Exiftool to identify the m2t files and copy them to separate  folders for manual date/time correction later (via TimeWiz).

Many thanks for your feedback and information.
Have a Happy Holiday and a Merry Christmas.
DJ
#67
General Discussion and Questions / Re: Face recognition and keywo...
Last post by Mario - December 24, 2024, 05:45:45 PM
Hi, welcome to the community.

1. IMatch stores face and person data in the database, like all other metadata.
When you write-back metadata (see Metadata Write-back), IMatch stores the face regions (green rectangles) in the official XMP face region metadata, and assigns the person tag to the region. This makes the faces available in all other XMP-enabled software, if it supports XMP face regions.

2. You can associate keywords with a person (See Person Keywords and Categories) and when IMatch (or you) assign a person to a face, the keywords associated with that person are automatically added. Same for IMatch categories.

When you remove a face region or change the assigned person for a face, the corresponding keywords are automatically removed or updated.

This allows for a very efficient workflow. IMatch or you assign persons to faces, which adds keywords, which automatically organizes the persons in the @Keywords Category. And then there is the People View, which organizes your images based on the persons they show.

When you write-back, IMatch stores the keywords in the official XMP keyword tags, making them available for other software.

If you are just starting with IMatch, remind yourself that IMatch is a very powerful DAM software, with tons of features you have probably never seen or used before ;) Feel free to read interesting sections in the IMatch help system (just press <F1> anywhere in IMatch) and post a question here, I you need help or advice.

For all things related to face recognition and the closely related "people" features, I can only recommend to spend an hour to read the People help topic (or at least the sections which sound interesting to you). This will show you how powerful these features are and will give you ideas for how to manage your images better and quicker.

There are also related free tutorial videos in the IMatch Learning Center.
#68
General Discussion and Questions / Face recognition and keywords
Last post by ERBRO - December 24, 2024, 04:43:15 PM
Hello,

I'm testing the trial version of iMatch as I'm looking to replace my actual DAM.

In the past, I stored the people contained in a picture as keywords.  I discovered the face recognition embedded in iMatch. 

1) I can not figure out where the persons assigned to a picture by the face recognition tool stored. Is it only in the iMatch Database or somewhere in a metadata field or XMP file ? I use capture one and can not find the information in the metadata.

2) IS there a way to copy the persons assigned to a picture by the face recognition tool to the keyword tag ?

Any advice in this area is welcome.

Best regards
Eric
#69
General Discussion and Questions / Re: How to activate HERE-Maps
Last post by Mario - December 24, 2024, 02:31:09 PM
QuoteI also can no longer reverse geo using the new api key -
I have reverse-geoding migrated to the latest HERE v7 API, which works with  both old and "new" keys.
Same for the search function in the Map panel, which uses the same endpoints.

But the Map Panel itself, things looks different.
The documented way to use HERE maps with OpenLayers (which is the toolkit I use for everything except Google) fails now, and I could not find anything on the net or with the help of two coding AI's about how to make this compatible again.

I'm still researching.
With my new key, OpenLayers gets a "too many requests" on each endpoint fetching a map tile.
It works again with my old key.

Maybe the 1,000 requests per day for my new key are already used up and the old key has more generous free quota?
They say to get more free quota you must register a credit card. Maybe they are pushing towards that by reducing using a tiny quota for new keys.

I will try again with the new key tomorrow and see if I still get "too many requests". 

If that fails and I cannot find information to how to make this work (OpenLayers forum, HERE support (only available if you have provided a credit card) I will leave thins as is and document it.

Reverse geocoding works, find also works - with old and new keys.
Only HERE maps will not be available for users which get a new key.
I doubt there will be many, if at all, complaints. The number of HERE maps loaded by the map panel per months is < 1%.
#70
General Discussion and Questions / Re: How to activate HERE-Maps
Last post by Jingo - December 24, 2024, 01:14:40 PM
Quote from: mopperle on December 23, 2024, 08:10:00 PM
Quote from: Mario on December 23, 2024, 06:26:49 PMHERE is used by a handful of people (telemetry) and this is just not worth it.
I agree. HEREs main purpose is to provide car manufacturers with a database for their car navigation systems. Their userbase are mainly professionals (logistics, fleet routing, asset tracking etc.). And thats why they have an API at all.
It is not comparable with Google maps, Bing maps or Apple charts.
Sorry I'm late to the thread here... 

I've found HERE's reverse Geocoding addresses provided more results than Google so that is why I wrote my GeoLocator app many years ago to provide the ability to use HERE. Over the years, the other services have also gotten very robust but I still use HERE some harder to pinpoint addresses. 

I also can no longer reverse geo using the new api key - too bad when sites modify their API so dramatically! Back to Google for now!