Open arslaanzafar opened 4 years ago
Hello. I tired your project. Its really good but the issue is that FPS is very low. It is due to python. ? Is mediapipe only for mobile devices ? Will hand detection using mediapipe will work with good fps on mobile device ? Thank you !
Hello, thank you for asking. If you tried mediapipe hands web-demo you could notice that fps is In a range 13-25. In my implementation, I am using python to run the TensorFlow Lite graph which was developed and optimized for mobile devices. Running this model with additional image transformations and extra computations prevent to run this app at low fps. I think it is about 5-8 fps. I do not know will it run better on a more powerful CPU, because the TensorFlow lite model doesn't use GPU resources, only CPU. Mine CPU is Intel Core i5-6600K. And again, generally, mediapipe is developed and optimized for mobile devices.
Thank you for reply. I got your point. I was wondering if i could do the ASL recognition on mobile using mediapipe. I tired that but the your dataset does not really match the landmarks which comes from mediapipe android build. Is there a way:
Thank. You
data_keypoints
folder. Then I calculated Euclidean distances between keypoints for each sign and concatenated all these data to alphabet.csv
file — this is data for training and testing.Alright.
Hello. I tired your project. Its really good but the issue is that FPS is very low. It is due to python. ? Is mediapipe only for mobile devices ? Will hand detection using mediapipe will work with good fps on mobile device ? Thank you !