spacewalk01

I will try to update it soon. Thanks for your interest

It would be better if you add clothing attributes such as size, color, and fabric type. Much more practical and useful!

https://github.com/NVIDIA-AI-IOT/nanosam/blob/653633614b2eb93b06ba3be9adb2aeffb117bd72/nanosam/utils/predictor.py#L134C7-L134C7

you are performing `(mask[0, 0] > 0).detach().cpu().numpy()` on `1 x 4 x 256 x 256` matrix which means that first only 256 x 256 returns ignoring the rest, is it...

I am reimplementing it but in my implementation, it gets me incorrect results on the mask detection task given a bounding box.

When I used trtexec for generating the engine from onnx model, somehow, the order of outputs in decoder were changed. So, I set it accordingly But I will debug it...

first few frames take longer but 233ms is too long. What is your gpu and cpu?

Hi, width=409 and height=962 image right? I will test it. Thank you for informing

I have tested it with 427x640 image and it worked: 

Will you send me your onnx model?