Pushkar Khetrapal

hi @nakul3112 , you can refer [this](https://github.com/pushkar-khetrapal/realtime_panoptic/blob/master/DemoNotebook_RealTimePanoptic.ipynb) also.

The docker is basically use to set your environment which you are working on. I installed seperately those libraries which are required. Can you eleborate more about 7 classes. Is...

This repository is trained on cityscapes dataset. So, if your 7 classes is in the [ 'road', 'sidewalk', 'building', 'wall', 'fence', 'pole', 'traffic light', 'traffic sign', 'vegetation', 'terrain', 'sky', 'person',...

@nakul3112 The panoptic is made up of semantic + instance segmentation. There will be more than one head. You can use cityscapes dataset. It's easy but you need a lot...

Hi @jinfagang , Have you been able to optimize it further and @jieli352 can you give us an approximate time of release? because I'm finding difficulty in conversion into onnx...

@jinfagang I'm trying to replicate 30fps as mentioned in paper(with tensorRT). To that we first need to convert into into onnx but I'm getting the unknown errors. It's my first...

@jinfagang Thank you so much for asking and yes, you are right. The model is made up of two stages. Yesterday, I converted pytorch model into onnx successfully. But now...

 Here is the onnx architecture, I excluded post processing step (class PanopticFromDenseBox) before converting into onnx. And I'm also using google colab. Is this a problem?

@jinfagang Yes, is this approach fine? And how do I proceed for tensorRT now?

@jinfagang Hi, I traced whole but got alot of warnings (This might not work for another inputs) because of dynamic variables. I also try to build tensorRT engine but not...