Compatibility range for conversion

Converting case

Compatible model

The input layer of the uploading model should be as follows.

Only single-input models are supported.
The three-dimensional array structure of images should be organized Batch, Number of Channels, Height, and Width.

Batch size: The number of combined input datasets that the model processes simultaneously.

Channel: enter 3 for RGB channel and 1 for gray channel.

Input size: In computer vision tasks, input size refers to the size of the input images.

ONNX to TensorRT

Target Device	SW version	Input datatype	Batch size	Channel	Input size	Output datatype
NVIDIA Jetson Nano	JetPack 4.4.1, JetPack 4.6	FP32	1~4 (Static, Dynamic)	1~4	height, width	FP16
NVIDIA Jetson Xavier NX	JetPack 5.0.2, JetPack 4.6	FP32	1~4 (Static, Dynamic)	1~4	height, width	FP16
NVIDIA Jetson TX2	JetPack 4.6	FP32	1~4 (Static, Dynamic)	1~4	height, width	FP16
NVIDIA Jetson AGX Xavier	JetPack 4.6	FP32	1~4 (Static, Dynamic)	1~4	height, width	FP16
NVIDIA Jetson AGX Orin	JetPack 5.0.1	FP32	1~4 (Static, Dynamic)	1~4	height, width	FP16
NVIDIA Jetson Orin Nano	JetPack 6.0	FP32	1~4 (Static, Dynamic)	1~4	height, width	FP16
NVIDIA T4	-	FP32	1~4 (Static, Dynamic)	1~4	height, width	FP16

Supported JetPack-ONNX version

ONNX to TFlite

Input datatype	Batch size	Channel	Input size	Output datatype
FP32	1~4 (Static, Dynamic)	1~4	height, width	FP16 INT8

ONNX to OpenVino

Input datatype	Batch size	Channel	Input size	Output datatype
FP32	1~4 (Static, Dynamic)	1~4	height, width	FP16

TensorFlow to TensorFlowLite

Input datatype	Batch size	Channel	Input size	Output datatype
FP32	1~4 (Static, Dynamic)	1~4	height, width	FP16 INT8