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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.
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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.
Custom_Model.zip
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