Custom MobileNetSSD V2 Float not working in EMGU
ShubhamSureWash opened this issue · comments
Hello Team,
I trained a Custom MobileNetSSD V2 Float model for hand pose detection, it's working Android Studio Sample project provided by TensorFlow (I changed the predefined model with my custom model) but when I am trying to run it using the EMGU TF lite model it's giving us no result. Attached is the python code for running. Attached is the sample image. I think Using EMGU TFLite it is reading wrong input tensor. Feel free to ask out if any info is required from my side.
The page here may give you some ideas on how to debug your code:
http://www.emgu.com/wiki/index.php/My_model_doesn%27t_work
Please take a look and see if that helps.
If you still can’t get it to work and would like to get our assistance, we will be able to give you a quote after reviewing the python code. Please email support@emgu.com if that is the case.