This thread has been locked.

If you have a related question, please click the "Ask a related question" button in the top right corner. The newly created question will be automatically linked to this question.

TDA4VM: TDA4VM: applying quantization with raw binary inputs

Part Number: TDA4VM

Hello,

I am trying to perform quantization over an object detection model. Since I use grayscale inputs, I am forced to use only binary inputs. As I understood from previous threads, I can only provide a single image to the import config file (inFileFormat=1).

I discovered that the 8-bit model accuracy heavily degredates compared to the full precision model. I suspect that the main cause is the restriction on the number of images that are provided in the import stage, and are used to compute quantization.

Can you suggest any solution to this issue?

Thanks,

Adam