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"tirito" was developed as the final project for the Data Science Diploma at UADE in 2020. It is an image recognizer programmed in Python which detects the impacts made on an "International shooting target", consuming the input through a live streaming process that involves multiple technologies (please refer to the architecture diagrams for more…
manquintana/mguntech-tirito
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Para levantar el proyecto: 1. Levantar el servidor Mongo. Corre en docker, mongo:lastest 2. Levantar el servidor MySql local 3. Levantar el servidor Node. node-api > node index.js 4. Deshabilitar Firewall de Windows. 5. Levantar kafka. Virtualbox > linux vm_ubuntu_kafka Correr el docker con la configuracion de kafka Correr el consumer Correr el publisher 6. Levantar el proyecto Reactnative. reactnative-fps > expo start Correr Android Studio y levantar el simulador 7. Correr en servidor web local "Simulador_Tiros_v2" O BIEN A TRAVES DE INTERNET c:wamp/www/tirito Acceder localhost:8080 8. Hacer tiros de prueba desde celular y desde web 9. Una vez se tengan datos suficientes, correr Reconocer_Balas_v3 10. Correr Tableau
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"tirito" was developed as the final project for the Data Science Diploma at UADE in 2020. It is an image recognizer programmed in Python which detects the impacts made on an "International shooting target", consuming the input through a live streaming process that involves multiple technologies (please refer to the architecture diagrams for more…