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I’m looking at a workflow wherein the start point is this: 

  • Underwater photo manually copied into Powerpoint
  • Measurement grid overlaid
  • Percentage cover of different plant species estimated by eye
  • Results copied to Excel

I haven’t dabbled in CV at all within FME, just read this blog - and this may be jumping in the deep end - but am wondering if this scenario might be a candidate? 

Hey @p_c_20 

Thank you for the question!

I believe FME has a few options when it comes to Computer Vision which may help you get to the answer.

This blog post may be a good starting point. (https://fme.safe.com/blog/2020/06/build-computer-vision-workflows-picterra-fme/). Picterra is a separate platform which we integrate into FME.

 

There is also ways to detect features on photos with standard FME tools such as:
RasterExpressionEvaluatorRasterConvolver and maybe point cloud transformers. 


FME is not a real feature detection/feature extraction tool, but in some situations, for certain types of imagery, it might work. 
If you need further assistance would you possibly share some sample data and we could look into finding a solution.


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