Analyse de l'application ASL Recognizer pour le 21 décembre

SMART RECOGNITION ASL Recognizer uses machine learning based model that is trained for high accuracy detection in any environment. UNIVERSAL Identify world’s most recognizable sign language basic hand gestures. MAKE WORDS By recognizing each hand pose, you can combine whole words to understand what is being said in sign language. LEARN SIGN LANGUAGE BASICS Find all basic alphabet American Sign Language hand gestures in one place for easier identification and learning. FOR DEVELOPERS The project uses Combine, AVFoundation and Apple Vision frameworks, is wrapped around Clean Swift VIP architecture and is fully open source documented on GitHub. More information: https://github.com/liudasbar/ASL-Recognizer