The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Learn how to design, develop, deploy and iterate on production-grade ML applications.

A game theoretic approach to explain the output of any machine learning model.

Learn OpenCV : C++ and Python Examples

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM …

A course on aligning smol models.

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

BoT-SORT: Robust Associations Multi-Pedestrian Tracking

YOLOv8 Object Tracking using PyTorch, OpenCV and DeepSORT

A SAM-based model for instance segmentation of images of grains

GeoTorchAI: A Framework for Training and Using Spatiotemporal Deep Learning Models at Scale

GPU Development in Python 101 tutorial

🏀 Basketball Video Analysis: Leverage automated detection and tracking of players, ball, and team assignments using advanced object tracking, zero-shot classification, and keypoint detection with Y…

Check out my Computer Vision Repository for projects showcasing advanced image processing techniques like object detection, image stitching, and segmentation using Python and OpenCV. Whether you're…

Sen4AgriNet: A Sentinel-2 multi-year, multi-country benchmark dataset for crop classification and segmentation with deep learning

Material de Apoio da Especialização em Visão Computacional

Phenological analysis of Remote Sensing data with Python