Pinned Repositories
agenda-django
api_tasks
Flask api to use with tasks app
app_api
car_project
clean_architecture_flutter
data-science-dio
Improving knowledge of data science, in boot camp whit Dio.
dog_dataset
dogclassifier
Activite 2
EfficientPose_TF2
green_gracer_app
jefferson-norberto2's Repositories
jefferson-norberto2/dogclassifier
Activite 2
jefferson-norberto2/agenda-django
jefferson-norberto2/api_tasks
Flask api to use with tasks app
jefferson-norberto2/app_api
jefferson-norberto2/car_project
jefferson-norberto2/clean_architecture_flutter
jefferson-norberto2/data-science-dio
Improving knowledge of data science, in boot camp whit Dio.
jefferson-norberto2/dog_dataset
jefferson-norberto2/EfficientPose_TF2
jefferson-norberto2/green_gracer_app
jefferson-norberto2/learning_ros
This repositorie is a start in the world of ROS. Learning basic concepts and appling in the little project.
jefferson-norberto2/LSNetEx
[TIP2023][LSNet]Lightweight Spatial Boosting Network for Detecting Salient Objects in RGB-Thermal Images
jefferson-norberto2/Motivation
Development of app Adnroid in Koltin
jefferson-norberto2/moveit_ros_kortex
jefferson-norberto2/My-Edition-Robotics-Object-Pose-Estimation
A complete end-to-end demonstration in which we collect training data in Unity and use that data to train a deep neural network to predict the pose of a cube. This model is then deployed in a simulated robotic pick-and-place task.
jefferson-norberto2/my-pkg-ros-kortex
jefferson-norberto2/ObjectDatasetTools-Extention
Tools to create pixel-wise object masks, bounding box labels (2D and 3D) and 3D object model (PLY triangle mesh) for object sequences filmed with an RGB-D camera. This project was developemnt to F2Wang and he prepares training and testing data for various deep learning projects such as 6D object pose estimation projects singleshotpose, as well as object detection and instance segmentation projects.
jefferson-norberto2/qt_basics
jefferson-norberto2/ros-install-scripts
jefferson-norberto2/segment-anything-ex
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.
jefferson-norberto2/tasks
Flutter app using Clean Dart with flutter_modular, dependece injection and state managment.
jefferson-norberto2/turtlesim-extension
jefferson-norberto2/virtual_saler
jefferson-norberto2/wowpet
jefferson-norberto2/yolov10ext
YOLOv10: Real-Time End-to-End Object Detection
jefferson-norberto2/yolov9extend
Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information