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Running
on
Zero
Running
on
Zero
| seed: -1 | |
| dataset: MCAC | |
| data_path: "PATH/TO/MCAC/" | |
| log_dir: logs/ | |
| resume_path: "" | |
| find_unused_parameters: False | |
| MCAC_occ_limit: -1 | |
| MCAC_crop_size: -1 | |
| MCAC_max_num_classes: 5 | |
| MCAC_max_number_per_type: 300 | |
| MCAC_exclude_imgs_with_counts_over: -1 # no images with counts over the amount, -1 is the no excclusion case | |
| MCAC_exclude_imgs_with_num_classes_over: -1 # no images with number of classes over the amount, -1 is the no excclusion case | |
| img_channels: 3 | |
| img_size: [224, 224] | |
| image_transforms: None | |
| drop_last: True | |
| counting_backbone_pretrained: True # if using pretrained vakues (only a thing for dino) | |
| counting_backbone_unfreeze_layers: -1 | |
| counting_head: "5_32" # linearprobe | |
| upsample_padding_mode: 'replicate' # 'zeros', 'reflect', 'replicate' | |
| matching_type: no_match # no_match, count, density | |
| normalize_matching: False # ONLY APPLIES TO DENSITY MATCHING | |
| matcher_cost_p_norm: 1 | |
| matcher_cost_power: 1 | |
| counting_loss: pixelwise_mae | |
| gtd_scale: 1 | |
| learning_rate: 3e-4 | |
| scheduler: None | |
| weight_decay: 0 | |
| scheduler_steps: 100 | |
| scheduler_gamma: 0.5 | |
| accumulate_grad_batches: 1 | |
| train_batch_size: 32 | |
| eval_batch_size: 32 | |
| num_workers: 4 | |
| num_sanity_val_steps: -1 | |
| val_every: 1 | |
| max_epochs: 10000 | |
| max_steps: -1 |