AntonioVispi
MSc Engineer. Artificial Intelligence, Computer Science. Polytechnic University of Turin. antoniovispi1@gmail.com
Turin
Pinned Repositories
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's Repositories
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.