A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.
Hi,
thanks for the great work.
I tried running the fully quantized integer model on coral edge tpu, however the model's output was inaccurate.
I am not sure if post quantization training is needed for this model.
I would appreciate your help on this matter
Relevant Log Output
No response
URL or source code for simple inference testing code
Issue Type
Performance
OS
Ubuntu
OS architecture
aarch64
Programming Language
Python
Framework
TensorFlowLite
Model name and Weights/Checkpoints URL
https://github.com/PINTO0309/PINTO_model_zoo/tree/main/081_MiDaS_v2
Description
Hi, thanks for the great work. I tried running the fully quantized integer model on coral edge tpu, however the model's output was inaccurate. I am not sure if post quantization training is needed for this model. I would appreciate your help on this matter
Relevant Log Output
No response
URL or source code for simple inference testing code
No response