Hello!
After the last question, I succeeded in learning my own dataset.
And then I'm trying to inference 6d pose of target object during capturing rgb image.
I'm referring to "plot_prediction_multi.py" and "do_test" function of "engine.py" code.
But it seemed to infer the result only for the saved and annotated image.
My question is
"Is it possible to estimate the 6D pose of the target object just in the new rgb image?"
and
"Is annotated information necessary to estimate the pose of the target object in the new test image?".
My goal is to get predicted 6d object pose(or 3d bounding box) captured by camera for about 30~60 fps.
If so, can I ask for some advice on which codes to fix?
Thank you for your help!
Hello!
After the last question, I succeeded in learning my own dataset.
And then I'm trying to inference 6d pose of target object during capturing rgb image.
I'm referring to "plot_prediction_multi.py" and "do_test" function of "engine.py" code.
But it seemed to infer the result only for the saved and annotated image.
My question is
"Is it possible to estimate the 6D pose of the target object just in the new rgb image?"
and
"Is annotated information necessary to estimate the pose of the target object in the new test image?".
My goal is to get predicted 6d object pose(or 3d bounding box) captured by camera for about 30~60 fps.
If so, can I ask for some advice on which codes to fix?
Thank you for your help!