X-range is increased to 100m. but with this trained model detection is too poor.
Is there any mistake my side?
What is boundary_back?
What are BEV_WIDTH, BEV_HEIGHT and DISCRETIZATION?
Do we need to change these also before training for a larger distance?
Hi,
I tried training the model to detect for a larger distance. I changed the kitti_config.py as follows:
boundary = { "minX": 0, "maxX": 100, "minY": -25, "maxY": 25, "minZ": -2.73, "maxZ": 1.27 }
bound_size_x = boundary['maxX'] - boundary['minX'] bound_size_y = boundary['maxY'] - boundary['minY'] bound_size_z = boundary['maxZ'] - boundary['minZ']
boundary_back = { "minX": -50, "maxX": 0, "minY": -25, "maxY": 25, "minZ": -2.73, "maxZ": 1.27
X-range is increased to 100m. but with this trained model detection is too poor. Is there any mistake my side? What is boundary_back? What are BEV_WIDTH, BEV_HEIGHT and DISCRETIZATION? Do we need to change these also before training for a larger distance?