BertaBescos / DynaSLAM

DynaSLAM is a SLAM system robust in dynamic environments for monocular, stereo and RGB-D setups
https://bertabescos.github.io/DynaSLAM/
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How can I only use Mask R-CNN segmentation to detect dynamic objects? #67

Open liubamboo opened 3 years ago

liubamboo commented 3 years ago

I want to verify the output below image

it only use Mask R-CNN segmentation to detect dynamic objects, but the parameter of main function can't support it. it only support only multi-view geometry method(G), both geometrical and deep learning approaches(N+G). But It can't support only deep learning method(G). Can you help me? thank you very much.

hongu0603 commented 3 years ago

I want to verify the output below image

it only use Mask R-CNN segmentation to detect dynamic objects, but the parameter of main function can't support it. it only support only multi-view geometry method(G), both geometrical and deep learning approaches(N+G). But It can't support only deep learning method(G). Can you help me? thank you very much.

i have the same question with you,did you solve it ?

wenyan96 commented 2 years ago

you can modify the code in Tracking::GrabImageRGBD() with reference of ORBSLAM2. but remember maintain the imMask variable! And did you test the onlyGeometry code? when i tried this, i got a segment default error.