FabianRamirez

erik

thanks, I'm going to consult it…

erik

Hi Erik, I've found this tutorial to read barcode with python and the "pyzbar" library, I've tried it with my PC's webcam and it works, I'm going to integrate it with the OAK camera, do you think it could work? I'll be commenting on the results...

link:

https://towardsdatascience.com/building-a-barcode-qr-code-reader-using-python-360e22dfb6e5

Hi Erik, I will continue investigating, it is interesting and appropriate for my project to be able to read barcodes or datamatrix, the camera OAK lends itself to what I need, thanks for the help, if you have any other suggestion I would appreciate it, regards!

Hi Erik, thanks for response…I don't know how to do this, I think I should continue investigating, I'm going to look at this information you refer to on Google models... but I don't understand adjusting the weights, looking at the ML Kit website, it's only for Android and iOS.. =(

Hi everyone ! I'm working on a QR detection project, I've followed the depthai-experiments/gen2-qr-code-scanner tutorial and it works perfect... my question is: is there a BlobPath (NN) for Datamatrix or BARCode detection?

If not, how could I train the neural network for Datamatrix or BARCode, thanks.

Thanks, I'm going to try this... later, if I have to implement a code that allows me to know which flower is to be cut according to its state of development... thank you very much Jakas

At the moment it doesn't, that's what I want to achieve, but I still have the question if I should train a network with the images of many roses and then do the tracking... In short, I plan to do the following:

train the neural network with images of crop rose where I will apply the pilot project in classification mode to generate my .blob file

to do the tracking and based on this then do a count, for the moment it doesn't matter if the flower is cut, I want to be able to count all the roses that the camera sees..

thanks

Hello Jakas, yes that is exactly what I want to do, but first I want to train a network that can count all the roses, from the ones that are growing to the most developed ones, I have designed a device that is transported by a cable like a cable car and carries the camera on board, take video above the beds or rose crops... I'm following the DepthAI tutorials but I still have doubts on how to use tracking or object counting... but mainly I have to count all the roses in cultivation

Hello Jakas, thank you very much for answering, I must do a count too, in the example models that I have seen they use tracking, that is why I think I should do a tracking to count, I am open to opinions, I have not been on this topic for a long time, thank you.

Hi Erik, thank you for your answer, that is to say that I should train a model only for rose detection, right?... the model that I have trained is for classification, therefore it is not useful for me, is it?

I will try what you say, thank you very much.

Later, I must achieve a rose count, the project is heavy hehehe, I hope I can achieve it.

I work on a rose (flower) classification project, I have trained a neural network to identify the flower that is ready for cutting and the one that is not for cutting using OAK-D. I have to do a tracking following the example of the object tracker on RGB tutorial, it is it makes use of the MobilNet pre-trained network.. but I can't get it to work.. I'm using my own .blob file that I generated with TensorFlow in Google Colab... can someone give me a hand on this issue thanks.