AntonioVispi

Fancy_Augmentation_for_Classification

Tool for creating a balanced dataset, augmenting it in the classic way, and then using it to train StyleGAN3. Once the StyleGAN 3 has been trained, it will be used to generate synthetic images, which will allow to increase the images available to train an MMClassification classifier (EfficientNET-B4).

Recursive_Segmentation

The code provided deals with multiclass segmentation of volumes through preprocessing, training, supervised testing, and unsupervised testing phases. This repository serves as a comprehensive tool for solving segmentation problems and can be adapted to your specific tasks.

Big_GAN_tony

YOLOv8-DeepSORT-Object-Tracking

YOLOv8 Object Tracking using PyTorch, OpenCV and DeepSORT

ultralytics

NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite

AntonioVispi/Fancy_Augmentation_for_Classification

Tool for creating a balanced dataset, augmenting it in the classic way, and then using it to train StyleGAN3. Once the StyleGAN 3 has been trained, it will be used to generate synthetic images, which will allow to increase the images available to train an MMClassification classifier (EfficientNET-B4).

AntonioVispi/Recursive_Segmentation

The code provided deals with multiclass segmentation of volumes through preprocessing, training, supervised testing, and unsupervised testing phases. This repository serves as a comprehensive tool for solving segmentation problems and can be adapted to your specific tasks.