Does anybody know if this method could be used in vehicle 3D detection in residential scenes?
In that case, The images are from surveillance cameras. And those cameras are set at about 3-4 meters high from the ground.
Thus, the Roll angle of cameras are definitely not 0.
If I directly use the the pretrained model and original camera calibration files, the predictions are reaaaaally bad in my scenes.
So how could I change the camera calibration files to make it adaptable for image datasets by surveillance cameras?
Or it's not capable to do that?
Does anybody know if this method could be used in vehicle 3D detection in residential scenes? In that case, The images are from surveillance cameras. And those cameras are set at about 3-4 meters high from the ground. Thus, the Roll angle of cameras are definitely not 0. If I directly use the the pretrained model and original camera calibration files, the predictions are reaaaaally bad in my scenes. So how could I change the camera calibration files to make it adaptable for image datasets by surveillance cameras? Or it's not capable to do that?