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Omninets weights Some model parameters or buffers are not found  #46

@azuryl

Description

@azuryl

[03/17 17:31:59 tridet]: Registered 2 datasets:
kitti_3d_train
kitti_3d_val
[03/17 17:31:59 fvcore.common.checkpoint]: [Checkpointer] Loading from /home/azuryl/dd3d_test/model/depth_pretrained_omninet-small-3nxjur71.pth ...
WARNING [03/17 17:31:59 fvcore.common.checkpoint]: Some model parameters or buffers are not found in the checkpoint:
fcos2d_head.box2d_reg.{bias, weight}
fcos2d_head.box2d_tower.0.norm.0.{bias, running_mean, running_var, weight}
fcos2d_head.box2d_tower.0.norm.1.{bias, running_mean, running_var, weight}
fcos2d_head.box2d_tower.0.norm.2.{bias, running_mean, running_var, weight}
fcos2d_head.box2d_tower.0.norm.3.{bias, running_mean, running_var, weight}
fcos2d_head.box2d_tower.0.norm.4.{bias, running_mean, running_var, weight}
fcos2d_head.box2d_tower.0.weight
fcos2d_head.box2d_tower.1.norm.0.{bias, running_mean, running_var, weight}
fcos2d_head.box2d_tower.1.norm.1.{bias, running_mean, running_var, weight}
fcos2d_head.box2d_tower.1.norm.2.{bias, running_mean, running_var, weight}
fcos2d_head.box2d_tower.1.norm.3.{bias, running_mean, running_var, weight}
fcos2d_head.box2d_tower.1.norm.4.{bias, running_mean, running_var, weight}
fcos2d_head.box2d_tower.1.weight
fcos2d_head.box2d_tower.2.norm.0.{bias, running_mean, running_var, weight}
fcos2d_head.box2d_tower.2.norm.1.{bias, running_mean, running_var, weight}
fcos2d_head.box2d_tower.2.norm.2.{bias, running_mean, running_var, weight}
fcos2d_head.box2d_tower.2.norm.3.{bias, running_mean, running_var, weight}
fcos2d_head.box2d_tower.2.norm.4.{bias, running_mean, running_var, weight}
fcos2d_head.box2d_tower.2.weight
fcos2d_head.box2d_tower.3.norm.0.{bias, running_mean, running_var, weight}
fcos2d_head.box2d_tower.3.norm.1.{bias, running_mean, running_var, weight}
fcos2d_head.box2d_tower.3.norm.2.{bias, running_mean, running_var, weight}
fcos2d_head.box2d_tower.3.norm.3.{bias, running_mean, running_var, weight}
fcos2d_head.box2d_tower.3.norm.4.{bias, running_mean, running_var, weight}
fcos2d_head.box2d_tower.3.weight
fcos2d_head.centerness.{bias, weight}
fcos2d_head.cls_logits.{bias, weight}
fcos2d_head.cls_tower.0.norm.0.{bias, running_mean, running_var, weight}
fcos2d_head.cls_tower.0.norm.1.{bias, running_mean, running_var, weight}
fcos2d_head.cls_tower.0.norm.2.{bias, running_mean, running_var, weight}
fcos2d_head.cls_tower.0.norm.3.{bias, running_mean, running_var, weight}
fcos2d_head.cls_tower.0.norm.4.{bias, running_mean, running_var, weight}
fcos2d_head.cls_tower.0.weight
fcos2d_head.cls_tower.1.norm.0.{bias, running_mean, running_var, weight}
fcos2d_head.cls_tower.1.norm.1.{bias, running_mean, running_var, weight}
fcos2d_head.cls_tower.1.norm.2.{bias, running_mean, running_var, weight}
fcos2d_head.cls_tower.1.norm.3.{bias, running_mean, running_var, weight}
fcos2d_head.cls_tower.1.norm.4.{bias, running_mean, running_var, weight}
fcos2d_head.cls_tower.1.weight
fcos2d_head.cls_tower.2.norm.0.{bias, running_mean, running_var, weight}
fcos2d_head.cls_tower.2.norm.1.{bias, running_mean, running_var, weight}
fcos2d_head.cls_tower.2.norm.2.{bias, running_mean, running_var, weight}
fcos2d_head.cls_tower.2.norm.3.{bias, running_mean, running_var, weight}
fcos2d_head.cls_tower.2.norm.4.{bias, running_mean, running_var, weight}
fcos2d_head.cls_tower.2.weight
fcos2d_head.cls_tower.3.norm.0.{bias, running_mean, running_var, weight}
fcos2d_head.cls_tower.3.norm.1.{bias, running_mean, running_var, weight}
fcos2d_head.cls_tower.3.norm.2.{bias, running_mean, running_var, weight}
fcos2d_head.cls_tower.3.norm.3.{bias, running_mean, running_var, weight}
fcos2d_head.cls_tower.3.norm.4.{bias, running_mean, running_var, weight}
fcos2d_head.cls_tower.3.weight
fcos2d_head.scales_box2d_reg.0.scale
fcos2d_head.scales_box2d_reg.1.scale
fcos2d_head.scales_box2d_reg.2.scale
fcos2d_head.scales_box2d_reg.3.scale
fcos2d_head.scales_box2d_reg.4.scale
fcos3d_head.box3d_conf.0.{bias, weight}
fcos3d_head.box3d_ctr.0.{bias, weight}
fcos3d_head.box3d_depth.0.weight
fcos3d_head.box3d_quat.0.{bias, weight}
fcos3d_head.box3d_size.0.{bias, weight}
fcos3d_head.box3d_tower.0.norm.0.{bias, weight}
fcos3d_head.box3d_tower.0.norm.1.{bias, weight}
fcos3d_head.box3d_tower.0.norm.2.{bias, weight}
fcos3d_head.box3d_tower.0.norm.3.{bias, weight}
fcos3d_head.box3d_tower.0.norm.4.{bias, weight}
fcos3d_head.box3d_tower.0.weight
fcos3d_head.box3d_tower.1.norm.0.{bias, weight}
fcos3d_head.box3d_tower.1.norm.1.{bias, weight}
fcos3d_head.box3d_tower.1.norm.2.{bias, weight}
fcos3d_head.box3d_tower.1.norm.3.{bias, weight}
fcos3d_head.box3d_tower.1.norm.4.{bias, weight}
fcos3d_head.box3d_tower.1.weight
fcos3d_head.box3d_tower.2.norm.0.{bias, weight}
fcos3d_head.box3d_tower.2.norm.1.{bias, weight}
fcos3d_head.box3d_tower.2.norm.2.{bias, weight}
fcos3d_head.box3d_tower.2.norm.3.{bias, weight}
fcos3d_head.box3d_tower.2.norm.4.{bias, weight}
fcos3d_head.box3d_tower.2.weight
fcos3d_head.box3d_tower.3.norm.0.{bias, weight}
fcos3d_head.box3d_tower.3.norm.1.{bias, weight}
fcos3d_head.box3d_tower.3.norm.2.{bias, weight}
fcos3d_head.box3d_tower.3.norm.3.{bias, weight}
fcos3d_head.box3d_tower.3.norm.4.{bias, weight}
fcos3d_head.box3d_tower.3.weight
fcos3d_head.offsets_depth.0.bias
fcos3d_head.offsets_depth.1.bias
fcos3d_head.offsets_depth.2.bias
fcos3d_head.offsets_depth.3.bias
fcos3d_head.offsets_depth.4.bias
fcos3d_head.scales_conf.0.scale
fcos3d_head.scales_conf.1.scale
fcos3d_head.scales_conf.2.scale
fcos3d_head.scales_conf.3.scale
fcos3d_head.scales_conf.4.scale
fcos3d_head.scales_depth.0.scale
fcos3d_head.scales_depth.1.scale
fcos3d_head.scales_depth.2.scale
fcos3d_head.scales_depth.3.scale
fcos3d_head.scales_depth.4.scale
fcos3d_head.scales_proj_ctr.0.scale
fcos3d_head.scales_proj_ctr.1.scale
fcos3d_head.scales_proj_ctr.2.scale
fcos3d_head.scales_proj_ctr.3.scale
fcos3d_head.scales_proj_ctr.4.scale
fcos3d_head.scales_size.0.scale
fcos3d_head.scales_size.1.scale
fcos3d_head.scales_size.2.scale
fcos3d_head.scales_size.3.scale
fcos3d_head.scales_size.4.scale
fcos3d_head.{mean_depth_per_level, std_depth_per_level}
pixel_mean
pixel_std
WARNING [03/17 17:31:59 fvcore.common.checkpoint]: The checkpoint state_dict contains keys that are not used by the model:
depth_head.net.conv_layers.0.weight
depth_head.net.conv_layers.1.weight
depth_head.net.conv_layers.2.weight
depth_head.net.conv_layers.3.weight
depth_head.net.bn_layers.0.0.{bias, num_batches_tracked, running_mean, running_var, weight}
depth_head.net.bn_layers.0.1.{bias, num_batches_tracked, running_mean, running_var, weight}
depth_head.net.bn_layers.0.2.{bias, num_batches_tracked, running_mean, running_var, weight}
depth_head.net.bn_layers.0.3.{bias, num_batches_tracked, running_mean, running_var, weight}
depth_head.net.bn_layers.1.0.{bias, num_batches_tracked, running_mean, running_var, weight}
depth_head.net.bn_layers.1.1.{bias, num_batches_tracked, running_mean, running_var, weight}
depth_head.net.bn_layers.1.2.{bias, num_batches_tracked, running_mean, running_var, weight}
depth_head.net.bn_layers.1.3.{bias, num_batches_tracked, running_mean, running_var, weight}
depth_head.net.bn_layers.2.0.{bias, num_batches_tracked, running_mean, running_var, weight}
depth_head.net.bn_layers.2.1.{bias, num_batches_tracked, running_mean, running_var, weight}
depth_head.net.bn_layers.2.2.{bias, num_batches_tracked, running_mean, running_var, weight}
depth_head.net.bn_layers.2.3.{bias, num_batches_tracked, running_mean, running_var, weight}
depth_head.net.bn_layers.3.0.{bias, num_batches_tracked, running_mean, running_var, weight}
depth_head.net.bn_layers.3.1.{bias, num_batches_tracked, running_mean, running_var, weight}
depth_head.net.bn_layers.3.2.{bias, num_batches_tracked, running_mean, running_var, weight}
depth_head.net.bn_layers.3.3.{bias, num_batches_tracked, running_mean, running_var, weight}
depth_head.net.bn_layers.4.0.{bias, num_batches_tracked, running_mean, running_var, weight}
depth_head.net.bn_layers.4.1.{bias, num_batches_tracked, running_mean, running_var, weight}
depth_head.net.bn_layers.4.2.{bias, num_batches_tracked, running_mean, running_var, weight}
depth_head.net.bn_layers.4.3.{bias, num_batches_tracked, running_mean, running_var, weight}
depth_head.predictor.{bias, weight}

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