_base_: '_base_/kitti.yaml' model: type: SMOKE #pretrained: null backbone: type: DLA34 pretrained: "pretrained/dla34.pdparams" head: type: SMOKEPredictor num_classes: 3 reg_heads: 10 reg_channels: [1, 2, 3, 2, 2] num_chanels: 256 norm_type: "gn" in_channels: 64 post_process: type: PostProcessor depth_ref: [28.01, 16.32] dim_ref: [[3.88, 1.63, 1.53], [1.78, 1.70, 0.58], [0.88, 1.73, 0.67]] reg_head: 10 det_threshold: 0.25 max_detection: 50 pred_2d: True loss: type: SMOKELossComputation depth_ref: [28.01, 16.32] dim_ref: [[3.88, 1.63, 1.53], [1.78, 1.70, 0.58], [0.88, 1.73, 0.67]] reg_loss: "DisL1" loss_weight: [1., 10.] max_objs: 50
