| from .common.train import train | |
| from .semantic_enhanced_matting.model import model | |
| from .common.optimizer import optimizer | |
| from .common.scheduler import lr_multiplier | |
| from .semantic_enhanced_matting.dataloader import dataloader | |
| from modeling.decoder.unet_detail_capture import MattingDetailDecoder | |
| from detectron2.config import LazyCall as L | |
| model.sam_model.model_type = 'vit_l' | |
| model.sam_model.checkpoint = None | |
| model.vis_period = 200 | |
| model.output_dir = '?' | |
| train.max_iter = 60000 | |
| train.eval_period = int(train.max_iter * 1 / 10) | |
| train.checkpointer.period = int(train.max_iter * 1 / 10) | |
| train.checkpointer.max_to_keep = 1 | |
| optimizer.lr = 5e-5 | |
| lr_multiplier.scheduler.values = [1.0, 0.5, 0.2] | |
| lr_multiplier.scheduler.milestones = [0.5, 0.75] | |
| lr_multiplier.scheduler.num_updates = train.max_iter | |
| lr_multiplier.warmup_length = 250 / train.max_iter | |
| train.output_dir = './work_dirs/SEMat_SAM' | |
| model.lora_rank = 16 | |
| model.lora_alpha = 16 | |
| model.matting_decoder = L(MattingDetailDecoder)( | |
| vit_intern_feat_in = 1024, | |
| vit_intern_feat_index = [0, 1, 2, 3], | |
| norm_type = 'SyncBN', | |
| block_num = 2, | |
| img_feat_in = 6, | |
| norm_mask_logits = 6.5 | |
| ) | |
| model.backbone_bbox_prompt = 'bbox' | |
| model.backbone_bbox_prompt_loc = [2, 3] | |
| model.backbone_bbox_prompt_loss_weight = 1.0 | |
| model.matting_token = True | |
| model.sam_model.matting_token = 3 | |
| model.sam_model.frozen_decoder = True | |
| model.sam_hq_token_reg = 0.2 | |
| model.reg_on_sam_logits = True | |
| model.reg_w_bce_loss = True | |
| model.matting_token_sup = 'trimap' | |
| model.matting_token_sup_loss_weight = 0.05 | |
| model.trimap_loss_type = 'NGHM' | |
| model.sam_model.wo_hq = True | |
| model.sam_model.mask_matting_res_add = False | |