284_CREStereo onnx model generation query

[ashank-art]

Issue Type

Support, Documentation Feature Request

OS

Ubuntu

OS architecture

x86_64

Programming Language

Python

Framework

PyTorch, ONNX

Model name and Weights/Checkpoints URL

https://github.com/PINTO0309/PINTO_model_zoo/blob/main/284_CREStereo/download_iter10.sh

Description

Hi @PINTO0309 Thanks for the provided models in onnx.

I have one query with the model conversion from PyTorch to onnx.

For Crestereo model conversion to onnx,

We need to convert the model twice, once without the init_flow and once with the init_flow. So the commented out part in the (https://github.com/ibaiGorordo/CREStereo-Pytorch/blob/main/convert_to_onnx.py) are not options, but two separate runs.
Then use the merging tool PINTO0309 developed to merge the two parts into one. Or, just use them separately in sequence.

For generating the merged model, we need to combine init and next models, with respect to the resolution for init and next models

Assume for generating the combined model of resolution 480 * 640, we need to merge init model of resolution 480 * 640 and next model with resolution 480 * 640, but what is the input resolution used for generating the init model ?
Is that 480 * 640 or 960 * 1280? Since according to this script (https://github.com/ibaiGorordo/CREStereo-Pytorch/blob/main/convert_to_onnx.py) init model is generated with half of the input resolution.

Relevant Log Output

No response

URL or source code for simple inference testing code

No response