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@Vincentdaniele Hello, I'm also converting darknet2onnx - was wondering if you have tried dynamic inputs [width, height] ? And had any success with it ?

@Vincentdaniele https://github.com/Tianxiaomo/pytorch-YOLOv4/issues/484#issuecomment-985322539 Maybe this will assists you in some way

@james77777778 Have you tried converting Darket to ONNX with dynamic input / output shapes ? (Like width, height) I've converted darknet to onnx with dynamic_axes parameter: ```python x = torch.randn((1,...

@tensorflowt By any chance you've tried creating onnx model with dynamic width / height and then used onnx to transform to TensorRT?

@IsuruSudasinghe Hello, by any chance wanted to ask... if my Nvidia GPU is compatible with 10.1 Cuda, but tensorflow-gpu 1.5.0 requires Cuda 9 - I can't run this application on...

@mattitoo It's not related to your problem - but could you share information if you're able to send reports of charts as png with this version of superset ?

@mattitoo By any chance you could share your cloned superset repo as public repository of your own ? I'm having difficulty getting png using API with the master branch.

Mhm - understandable, no changes required in superset_config.py file either - in order for API endpoint api/v1/chart/{pk}/cache_screenshot or reporting when sending chart as .PNG to work, right ? @mattitoo Thank...