Release notes 3.0.9 Features

• Object Detection (Yolox, PPyoloE) predict function on images, videos, GIF, and folders paths. The predict function works out of the box, no need to define pre and post-processing. Both pre and post-processing are taken from the training. Examples here. PR: #815, #804, #807, #829, #845

• Support yolov5 format detection dataset by for YoloX, PPyoloE https://github.com/Deci-AI/super-gradients/pull/847

• Base recipes for PPYoloE and Yolox of RF100 dataset.

• DetectionOutputAdapter tutorial. The DetectionOutputAdapter is a class that converts the output of a detection model into a user-appropriate format.

• Segformer model and recipe

• Predict function on images and videos - taking the pre+post processing from the training recipe.

• QAT&PTQ notebooks

• Added student_adapter feature to KDModule, which lets the user pass a manipulated version of the input to the student model. PR: #820

• Introduce min_samples param to dataloader_params, which repeats the dataset in case its size is smaller than the value of this parameter. PR: #838

Bug fixes:

• Bug Fix wandb logger on resume by @Louis-Dupont in #766