davidvelascogarcia Goto Github PK
Name: David Velasco Garcia
Type: User
Bio: Industrial Engineer / Robotics and Automation Engineer - MSc. D. Industrial Engineering - MSc. D. Robotics and Automation - B. D. Industrial Tech. Eng.
Location: Spain
Name: David Velasco Garcia
Type: User
Bio: Industrial Engineer / Robotics and Automation Engineer - MSc. D. Industrial Engineering - MSc. D. Robotics and Automation - B. D. Industrial Tech. Eng.
Location: Spain
cryptoSecurityEncoder: Implementation of data encryption and decryption with AES 256 AND 512 encryption. Data encryption in authenticated mode GCM, CMC, EAX ... Data encryption using KDF key derivation functions.
David Velasco Garcia Website
facialAnalysisDetection2D: Detector implementation for the analysis of facial features. Using the deepFace API, analysis for the extraction and prediction of gender, age, ethnicity and emotions. Image source reception via YARP, processing and sending of detections via YARP port.
facialAnalysisLiteDetection2D: Detector implementation for the analysis of facial features. Using the cvlib API analysis for gender extraction and prediction. Via OpenCV DNN, age prediction. Through tensorflow, emotion detection. Image source reception via YARP, processing and sending of detections via YARP port.
facialRecognitionDetection2D: Implementation of 2D facial recognition detector, Python API, dlib, pre and post-processed video broadcast via YARP. Calculation and emission of detections and coordinates.
githubRepoDownloader: Simple script in Python to download all public repositories from a GitHub user.
gitRepoUpdater: Simple script in Python to update local repositories.
googleTranslatorEngine: Translator implementation using the Google Translator API in Python. Reception of text to be translated through YARP port. Translation emission through YARP port.
gpsTracker: Implementation of a GPS tracking system. Receipt of coordinates via YARP. Obtaining and marking of maps via Folium.
Implementation of Heuristic Navigation System in Python. Network source robot/drone controller via YARP. Broadcast of path planning results over the network, via YARP.
humanActivityDetection2D: Implementation of 2D detector of human actions through DNN with OpenCV. Video source reception via YARP, processed video source emission and results, through YARP ports. Implementation of 2D detector of human actions through DNN with OpenCV. Video source reception via YARP, processed video source emission and results, through YARP ports.
kinect360ImageEngine3D: Implementation of capture of video sources of the Kinect 360. Obtaining RGB images, depth, depth with color, infrared and distances to them. Emission of video sources through YARP port. Emission of distances to each pixel through YARP.
matsimConfigGenerator: Implementación de configurador de MATSim automatizado.
matsimDataAdapter: Implementación de adaptador de base de datos MATSim.
matsimDataGenerator: Implementación de generador de datos MATSim-
matsimNetGenerator: Implementación de generador de red MATSim.
matsimPlansGenerator: Implementación de generador de rutas MATSim
matsimVoronoiGenerator: Implementación de generador de Voronoi sobre red MATSim
multipleObjectTracker2D: Implementation of multipurpose tracking module with OpenCV. Support for video source reception via YARP. Publication of processing and coordinates via YARP.
sentimentAnalysis: Sentiment Analysis implementation with the TextBlob Python API. Receipt of text to be analyzed via YARP and publication of results via YARP port.
speechRecognition: Implementation of a speech recognition system through the Google Speech API. Network audio source reception via YARP. Broadcast of recognized text over the network via YARP.
speechRecognitionTranscriber: Implementation of video / audio to text transcriber using speech recognition with the Google Speech API.
tensorflowDetection2D: Implementación de detector clasificador con Tensorflow 2D, API C++, VGG16, emisión de video pre y post-procesado vía YARP. Cálculo y emisión de detecciones y coordenadas.
tensorflowLiteDetection2D: Classifier detector implementation with Tensorflow Lite 2D, Python API, VGG16, pre and post-processed video broadcast via YARP. Calculation and emission of detections and coordinates.
ttsEngine: Implementation of text to speech module in Python. Reception of text to be synthesized over the network, via YARP. Platform detection in use and TTS engine selection according to it.
voskSpeechRecognition: Implementation of an offline speech recognition system using the vosk API in Python. Network audio source reception via YARP. Broadcast of voice recognition results over the network. via YARP.
webMonitoringBot: Implementation of a bot for monitoring changes in websites through web scraping. Complete analysis of the web or specific elements. Alert via desktop and / or push notifications via Pushbullet
wikipediaKnowledge: Module implementation for acquiring Wikipedia information through its Python API. Reception of requests through YARP port. Issuance of results by YARP port.
wolframAlphaKnowledge: Implementation of module for the acquisition of information and solving of mathematical operations through the Wolfram Alpha API. Request reception through YARP port. Results emission through YARP port.
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