trained my model with inception v1,and trained for about 30000 times.
got training accurancy 1,and val accurancy 0.91
test it with python script,work well.
when imported it in the project,and change the factor,mean_std,classifyimagesize,and changed with vuforia camera.
but it works not well as python works.
the problem is the camera image or the training pics?
and the result of the classify result is always changing very big,maybe it thinks this image is like the potato and pepper.
hope you can give some advices to improve the effects.
I prepare to capture images of potato,pepper,tomato with my iphone,and test it again.i do not know if it works well.
trained my model with inception v1,and trained for about 30000 times.
got training accurancy 1,and val accurancy 0.91
test it with python script,work well.
when imported it in the project,and change the factor,mean_std,classifyimagesize,and changed with vuforia camera.
but it works not well as python works.
the problem is the camera image or the training pics?
and the result of the classify result is always changing very big,maybe it thinks this image is like the potato and pepper.
hope you can give some advices to improve the effects.
I prepare to capture images of potato,pepper,tomato with my iphone,and test it again.i do not know if it works well.