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Custom MobileNetSSD V2 Float not working in EMGU

Open ShubhamSureWash opened this issue 4 years ago • 1 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.

Image_2019100115500541590009_1

Custom_Model.zip

ShubhamSureWash avatar Apr 06 '20 20:04 ShubhamSureWash

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 [email protected] if that is the case.

emgucv avatar Apr 06 '20 21:04 emgucv