Add Flyr library to handle FLIR images

[Resmung0]

Hi Lukas,

Congratulations on creating this incredible project! I learned a lot by reading your articles and your codes.

I have a lot of interest in photovoltaics and that's why I'm working on a project based on PV-Hawk that will be applied on the college campus where I graduated.

I realized that PV-Hawk needs thermal and optical images to be separated (I think you used the Flirpy library for this). However, I discovered a python library called Flyr which can extract thermographic and optical images from the original image taken by the FLIR thermal camera. I believe that adding this library to PV-Hawk stack is interesting not only for that, but also for many other features, such as:

• Possibility of extracting and modifying the metadata responsible for creating thermograms (emissivity, distance to the object of interest, etc.);

• Different ways of rendering the image (picture-in-picture, edge emphasis, and masking).

What do you thing about it?

I look forward to your reply!

[LukasBommes]

Hey Marcos,

thanks for this suggestion and also the one regarding the Kaggle dataset. We were actually thinking at one point to create a Kaggle challenge. However, I've already finished my PhD and went on to a new company and project. So, I do no have the time anymore to work on or support PV-Hawk.

Nontheless, it would be great if you want to fork the project and improve it. If at some point you want to merge back any improvements, I would be happy about that.

BTW: We have a partnering institute in Brazil which is using PV-Hawk. Maybe, I can connect you with them.

[Resmung0]

I understand, Lukas. I would be very grateful if you could introduce me to this institute here in Brazil.

But, just to make it clear: You don't have access to the module's annotation files, right? From the sample dataset that you shared here on Github.

[LukasBommes]

If you drop me an email (you can find my address here: https://www.hi-ern.de/profile/bommes_l) with your email address, then I will try to connect you with a post doc from our partner institute in Brazil.

Do you refer to the training dataset of the Mask R-CNN for PV module detection? This one is not public because it contains images from a variety of PV plants. To publish the dataset I would have to have gotten permission from the owners of all the plants. I know, it is quite a pity that I didn't put this extra effort to publish all my datasets also. But it would have been quite a lengthy procedure that I didn't really have the energy to pursue next to all the other obligations of the PhD.

[Resmung0]

Regarding my request, I'm actually referring to the images you shared here in the PV-HAWK repository, the assets in releases. You have shared thermographic images of inspected PV modules using single and double rows (TIFF format) and RGB images in double rows (JPG format).

I would like to know if you could share the JSON files containing the module masks of the 3 datasets. So I can publish them on Kaggle.