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Showing results for tags 'rknn conversion'.
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Hi All, I understand that in order to run an AI model on the NPU I have to convert it to RKNN, but whenever I do that my model (tf-lite) looses accuracy up to 15-20%. I have checked Rockchip_Trouble_Shooting_RKNN_Toolkit_V1.7.3_EN.pdf document in section 8.1 and it says that this issue might be related to setting mean_values/std_values incorrectly. then I found the below section in Rockchip_Trouble_Shooting_RKNN_Toolkit_V1.3.2_EN.pdf on how to set mean_values/std_values, but still don't quite understand it: I have 3 questions: 1) I am doing a binary classification and my Input data is (240,240,3) for training, would this be my (Cin0, Cin1,Cin2) ? 2) how do I set the Scale parameter ? 3)how do I get (Cout0,Cout1, Cout2) ? thank you, I would really appreciate your help
Hi team, I’ve recently bought an Asus Tinker Edge R to reply machine learning model. After few research and reading and I didn’t find much documentation on how to run object detection model on Tinker Edge R with an external camera. I’ve tried to rknn-toolkit too. I also want to use the NPU & GPU capabilities of the Tinker Edge R to experiment and see if it’s possible to use this device for my ML deployment or not. I’ve tested tflite on thinker Edge R I achieved like 3FPS which is not possible to use or deploy any model with this FPS. Could please share some documentations on how to run object detection model with Tinker Edge R. I also lost while trying to convert the model into rknn. Thank You.