Question Custom Object Detection
I have gone through the tutorial for training object classification model and I want to create a custom object detection model using peeking duck. Any tutorial recommendation please?
I tried to follow this tutorial ( removed link ) and I get a tensorflow lite model. Does this compatible with peeking duck? If yes, how?
Appreciate your help, Thanks!
Hi @longquan, I am unable to view the link, could you post it again? It also depends on which object detection model you are using.
Thanks for your reply. I am not sure why the link got deleted automatically. Google search 'Model Maker Object Detection for Android Figurine' , it should be the first result, colab notebook. Sorry for the inconvenience.
Hi thanks for the reply, are you looking for a specific model for your use case? I'm afraid the tutorial you linked me uses a lite version of EfficientDet, whereas we carry the non-lite versions. You may need to create your own inference node to interface with PeekingDuck. In other words, after you trained the model, you obtain a set of weights, after which you will load the weights. Once this step is done, you can write a script (a custom node) to then interface with your outputs.
Alright Thank you! Let me get back you if I face any problem.