Delete RQ2/v2xset_lidar_fcooper

RQ2/v2xset_lidar_fcooper/config.yaml

@@ -1,173 +0,0 @@
-name: HeterBaseline_v2xset_lidar_fcooper
-root_dir: "dataset/V2XSET/train"
-validate_dir: "dataset/V2XSET/validate"
-test_dir: "dataset/V2XSET/test"
-
-yaml_parser: "load_general_params"
-train_params:
-  batch_size: &batch_size 2
-  epoches: 20
-  eval_freq: 2
-  save_freq: 2
-  max_cav: 5
-
-comm_range: 70
-input_source: ['lidar']
-label_type: 'lidar'
-cav_lidar_range: &cav_lidar [-102.4, -102.4, -3, 102.4, 102.4, 1]
-
-heter:
-  assignment_path: "opencood/logs/heter_modality_assign/v2xset_4modality.json" 
-  ego_modality: &ego_modality "m1"
-  mapping_dict:
-    m1: m1
-    m2: m1
-    m3: m1
-    m4: m1
-  modality_setting:
-    m1:
-      sensor_type: &sensor_type_m1 'lidar'
-      core_method: &core_method_m1 "point_pillar"
-
-      # lidar requires preprocess
-      preprocess:
-        # options: BasePreprocessor, VoxelPreprocessor, BevPreprocessor
-        core_method: 'SpVoxelPreprocessor'
-        args:
-          voxel_size: &voxel_size [0.4, 0.4, 4]
-          max_points_per_voxel: 32
-          max_voxel_train: 32000
-          max_voxel_test: 70000
-        # lidar range for each individual cav.
-        cav_lidar_range: *cav_lidar
-
-
-fusion:
-  core_method: 'intermediateheter'
-  dataset: 'v2xset'
-  args: 
-    proj_first: false
-    grid_conf: None # place-holder
-    data_aug_conf: None # place-holder
-
-data_augment: # no use in intermediate fusion
-  - NAME: random_world_flip
-    ALONG_AXIS_LIST: [ 'x' ]
-
-  - NAME: random_world_rotation
-    WORLD_ROT_ANGLE: [ -0.78539816, 0.78539816 ]
-
-  - NAME: random_world_scaling
-    WORLD_SCALE_RANGE: [ 0.95, 1.05 ]
-
-preprocess:
-  # options: BasePreprocessor, VoxelPreprocessor, BevPreprocessor
-  core_method: 'SpVoxelPreprocessor'
-  args:
-    voxel_size: [0.4, 0.4, 4] # useful
-    max_points_per_voxel: 1 # useless
-    max_voxel_train: 1 # useless
-    max_voxel_test: 1 # useless
-  # lidar range for each individual cav.
-  cav_lidar_range: *cav_lidar
-
-# anchor box related
-postprocess:
-  core_method: 'VoxelPostprocessor' # VoxelPostprocessor, BevPostprocessor supported
-  gt_range: *cav_lidar
-  anchor_args:
-    cav_lidar_range: *cav_lidar
-    l: 3.9
-    w: 1.6
-    h: 1.56
-    r: &anchor_yaw [0, 90]
-    feature_stride: 2
-    num: &anchor_num 2
-  target_args:
-    pos_threshold: 0.6
-    neg_threshold: 0.45
-    score_threshold: 0.2
-  order: 'hwl' # hwl or lwh
-  max_num: 150 # maximum number of objects in a single frame. use this number to make sure different frames has the same dimension in the same batch
-  nms_thresh: 0.15
-  dir_args: &dir_args
-    dir_offset: 0.7853
-    num_bins: 2
-    anchor_yaw: *anchor_yaw
-
-# model related
-model:
-  core_method: heter_model_baseline
-  args:
-    ego_modality: *ego_modality
-    lidar_range: *cav_lidar
-
-    m1:
-      core_method: *core_method_m1
-      sensor_type: *sensor_type_m1
-
-      encoder_args:
-        voxel_size: *voxel_size
-        lidar_range: *cav_lidar
-        pillar_vfe:
-          use_norm: true
-          with_distance: false
-          use_absolute_xyz: true
-          num_filters: [64]
-        point_pillar_scatter:
-          num_features: 64
-
-      backbone_args:
-        layer_nums: [3, 5, 8]
-        layer_strides: [2, 2, 2]
-        num_filters: [64, 128, 256]
-        upsample_strides: [1, 2, 4]
-        num_upsample_filter: [128, 128, 128]
-  
-      shrink_header: 
-        kernal_size: [ 3 ]
-        stride: [ 1 ]
-        padding: [ 1 ]
-        dim: [ 256 ]
-        input_dim: 384 # 128 * 3
-
-    fusion_method: max 
-
-    in_head: 256
-    
-    anchor_number: *anchor_num
-    dir_args: *dir_args
-
-loss:
-  core_method: point_pillar_depth_loss
-  args:
-    pos_cls_weight: 2.0
-    cls:
-      type: 'SigmoidFocalLoss'
-      alpha: 0.25
-      gamma: 2.0
-      weight: 1.0
-    reg:
-      type: 'WeightedSmoothL1Loss'
-      sigma: 3.0
-      codewise: true
-      weight: 2.0
-    dir:
-      type: 'WeightedSoftmaxClassificationLoss'
-      weight: 0.2
-      args: *dir_args
-    depth:
-      weight: 1.0
-
-optimizer:
-  core_method: Adam
-  lr: 0.002
-  args:
-    eps: 1e-10
-    weight_decay: 1e-4
-
-lr_scheduler:
-  core_method: multistep #step, multistep and Exponential support
-  gamma: 0.1
-  step_size: [10, 25]
-

RQ2/v2xset_lidar_fcooper/net_epoch_bestval_at11.pth

@@ -1,3 +0,0 @@
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-size 32317731