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| model: | |
| base_learning_rate: 1.0e-06 | |
| target: lidm.models.diffusion.ddpm.LatentDiffusion | |
| params: | |
| linear_start: 0.0015 | |
| linear_end: 0.0195 | |
| num_timesteps_cond: 1 | |
| log_every_t: 200 | |
| timesteps: 1000 | |
| image_size: [16, 128] | |
| channels: 8 | |
| monitor: val/loss_simple_ema | |
| first_stage_key: image | |
| unet_config: | |
| target: lidm.modules.diffusion.openaimodel.UNetModel | |
| params: | |
| image_size: [16, 128] | |
| in_channels: 8 | |
| out_channels: 8 | |
| model_channels: 256 | |
| attention_resolutions: [4, 2, 1] | |
| num_res_blocks: 2 | |
| channel_mult: [1, 2, 4] | |
| num_head_channels: 32 | |
| lib_name: lidm | |
| first_stage_config: | |
| target: lidm.models.autoencoder.VQModelInterface | |
| params: | |
| embed_dim: 8 | |
| n_embed: 16384 | |
| lib_name: lidm | |
| use_mask: False # False | |
| ckpt_path: models/first_stage_models/kitti/f_c2_p4/model.ckpt | |
| ddconfig: | |
| double_z: false | |
| z_channels: 8 | |
| in_channels: 1 | |
| out_ch: 1 | |
| ch: 64 | |
| ch_mult: [1,2,2,4] | |
| strides: [[1,2],[2,2],[2,2]] | |
| num_res_blocks: 2 | |
| attn_levels: [] | |
| dropout: 0.0 | |
| lossconfig: | |
| target: torch.nn.Identity | |
| cond_stage_config: "__is_unconditional__" | |
| data: | |
| target: main.DataModuleFromConfig | |
| params: | |
| batch_size: 4 | |
| num_workers: 8 | |
| wrap: true | |
| dataset: | |
| size: [64, 1024] | |
| fov: [ 3,-25 ] | |
| depth_range: [ 1.0,56.0 ] | |
| depth_scale: 5.84 # np.log2(depth_max + 1) | |
| log_scale: true | |
| x_range: [ -50.0, 50.0 ] | |
| y_range: [ -50.0, 50.0 ] | |
| z_range: [ -3.0, 1.0 ] | |
| resolution: 1 | |
| num_channels: 1 | |
| num_cats: 10 | |
| num_views: 2 | |
| num_sem_cats: 19 | |
| filtered_map_cats: [ ] | |
| aug: | |
| flip: true | |
| rotate: false | |
| keypoint_drop: false | |
| keypoint_drop_range: [ 5,20 ] | |
| randaug: false | |
| train: | |
| target: lidm.data.kitti.KITTI360Train | |
| params: | |
| condition_key: image | |
| validation: | |
| target: lidm.data.kitti.KITTI360Validation | |
| params: | |
| condition_key: image | |
| lightning: | |
| callbacks: | |
| image_logger: | |
| target: main.ImageLogger | |
| params: | |
| batch_frequency: 5000 | |
| max_images: 8 | |
| increase_log_steps: False | |
| trainer: | |
| benchmark: true | |