Nick Konovalchuk

@piba941 I've managed to launch it with `pip install torch==1.8.0+cu111 torchvision==0.9.0+cu111 torchaudio==0.8.0 -f https://download.pytorch.org/whl/torch_stable.html` and ```python import cv2 import torch import numpy as np from torchvision.transforms import Compose from utils.inference_process...

@Aaryan369 check [this one](https://github.com/openai/whisper/pull/140) for details on verbosity

It would be nice if you could provide a complete description of the models' interfaces

For now it's definitely at least GPLv3 😔 A lot of code smells ultralytics ish and classify directory even has YOLOv5 GPLv3 notices in files. Is it possible to rewrite...

I would love to help too, but we would definetly need some management and supervision from @WongKinYiu

Does anyone know if we can escape ulatralytics this way?

@Sharpz7 I'm quite sure this repo is mostly YOLOR, which was derived from yolov5 at the point when it was GPL. Thus, GPL

I checked the insides of ClassificationPreset and DataDriftPreset. I've seen a lot of data copying, which is far from ideal. Also pandas is used here, while in some cases faster...

I wonder if metric calculation can be done at least in several processes

@c0t0ber Personally I've never used polars, but I think I remember it using all the cores of a CPU. In such setting multiprocessing would be harmful.