luigifaticoso
Robotics Engineer @CERN Student at Artificial Intelligence and Robotics course in Sapienza, Rome. IOs Developer Graduate @ Apple Developer Academy, Naples
CERNRome - Italy
Pinned Repositories
Auto-Annotate
Auto-Annotate - Automatically annotate your entire image directory by a single command. As simple as saying - "Annotate all the street sign (label) in the autonomous car dataset (directory)" and BAM! DONE. Each and every image with a street sign in the diverse dataset directory containing images of all sorts which have a street sign are filtered and the segmentation annotation is performed in a single command. The Auto-Annotate tool provides auto annotation of segmentation masks for the objects in the images inside some directory based on the labels. Auto-Annotate is able to provide automated annotations for the labels defined in the COCO Dataset and also supports Custom Labels.
auto_annotate
Automate approach to label images for object detection using TensorFlow
Chinese-word-segmentation-using-Bi-Lstm-Neural-Network
ComputerVisionLab
Exercises and examples of my Computer Vision subject with Deep Learning
csm
The C(canonical) Scan Matcher
Image-classification-Venice-boat
malware-classifier-using-bernoulli-text-classifier
Classifying spam emails using bernoulli text classifier
Quaternion-speech-recognition
END-TO-END Speech recognition using quaternial convolutional neural network QCNN
Soft-Actor-Critic-with-lunar-lander-continuos-v2
Reinforcement learning on Lunar Lander Continuous v2 using Soft actor-critic
Naive-Bayesian-Spam-Classifier
Machine Learning Exercise 2
luigifaticoso's Repositories
luigifaticoso/Soft-Actor-Critic-with-lunar-lander-continuos-v2
Reinforcement learning on Lunar Lander Continuous v2 using Soft actor-critic
luigifaticoso/Chinese-word-segmentation-using-Bi-Lstm-Neural-Network
luigifaticoso/Image-classification-Venice-boat
luigifaticoso/malware-classifier-using-bernoulli-text-classifier
Classifying spam emails using bernoulli text classifier
luigifaticoso/Quaternion-speech-recognition
END-TO-END Speech recognition using quaternial convolutional neural network QCNN
luigifaticoso/Auto-Annotate
Auto-Annotate - Automatically annotate your entire image directory by a single command. As simple as saying - "Annotate all the street sign (label) in the autonomous car dataset (directory)" and BAM! DONE. Each and every image with a street sign in the diverse dataset directory containing images of all sorts which have a street sign are filtered and the segmentation annotation is performed in a single command. The Auto-Annotate tool provides auto annotation of segmentation masks for the objects in the images inside some directory based on the labels. Auto-Annotate is able to provide automated annotations for the labels defined in the COCO Dataset and also supports Custom Labels.
luigifaticoso/auto_annotate
Automate approach to label images for object detection using TensorFlow
luigifaticoso/ComputerVisionLab
Exercises and examples of my Computer Vision subject with Deep Learning
luigifaticoso/csm
The C(canonical) Scan Matcher
luigifaticoso/Folder-Structure-Conventions
Folder / directory structure options and naming conventions for software projects
luigifaticoso/GazeTracking
👀 Eye Tracking library easily implementable to your projects
luigifaticoso/Gender-Recognition-Car-recognition-and-Neural-Style-Trasnfer
luigifaticoso/luigifaticoso
luigifaticoso/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
luigifaticoso/ObjectDatasetTools
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 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.
luigifaticoso/rPPG
luigifaticoso/SmartPC-study
This is a study I have made for a university project. The github includes a paper of a summary of the paper and a basic simulation code written in python with random data and the formula from the paper.
luigifaticoso/thank-you-github
An open letter of gratitude to GitHub
luigifaticoso/video_object_detection
Python script for doing TensorFlow object detection inference on a video.