Fu-Hsiang Chan
Fu-Hsiang Chan
Hi @mittalrajat , Yes, you are right.
Hi @e2sh83 , Sorry, I didn't log the training loss. But, I had trained the Deep3DBox only 20 epochs and evaluated the AP of orientation. The following table is the...
Hi @hectorgui, I split the KITTI into train/val set used in 3DOP/Mono3D/MV3D. And my result is testing on the validation set.
Hi @cx2214496, It is same as label.
Yes, The KITTI train/val split used in 3DOP/Mono3D/MV3D.
Hi @zhaobaozi I only implemented the CNN part of the paper and you only can get the 3D dimension and orientation of 3d proposals. In this project, I didn't implement...
Hi @sdukaka, It just orientates +pi/2, and it will subtract pi/2 in the final output.
Yes, the outputs of network are 3D dimensions and observation angle of the object.
Hi @weisili2016 , The CNN will predict the local object orientation, not the global object orientation. So in testing phase, θlocal will add with θray. https://github.com/smallcorgi/3D-Deepbox/blob/c409d46648afc241930972bae5f1a2c700816862/main.py#L252
@weisili2016 Yes.