Hi Everyone,
The idea is loading and executing tflite models using qtimletflite plugin. it already works with the model provided in the object detection sample app. But I inserted many other tflite models with different configurations (preprocessing, delegates, post processing, ..), and had no luck executing them. Do we need to change the code for this plugin (or possibly qtioverlay plugin) based on our application?
By the way, I used the tflite models provided for GstInference plugin.
Best Regards,
Peyman
Hi ,
You can use gstreamer commands before changing code. please refer following command & change the parameter according to your path
You can change config , model & labelmap parameter for your model. also refer qtimletflite for parameters.
if above command works correctly (with your changes) then change the following line in code
Thanks & regards,
Mayur
Hi Mayur,
Thank you for your response. I've already tested the models with gst-launch-1.0 . Like explained, I used different paramters for the qtimletflite plugin for the models. I changed almost every paramter of the plugin (the config file, preprocessing, postprocessing etc...) , but still no luck. It works with the config file, model , and labelmap which are already provided in the sample app, but not with new models.
I wanted to know if anyone has already tried this plugin for their own model/project and were successful, and I have to change the plugin code according to my project.
Best Regards,
Peyman
Did you ever solved this issue? I had the same problem.
Zilmara
Same question here!
Hi everyone,
We have used the qtimletflite plugin for running a TFLite pretrained model from Google Coral. You can check it out in our comprehensive Wiki guide. We also have step by step guides for installing the Neural Processing SDK and using the qtimlesnpe plugin as well.
You can find the Wiki guide at the following link: https://developer.ridgerun.com/wiki/index.php/Qualcomm_Robotics_RB5/AI_hardware_acceleration/TensorFlow/Example_pipeline