Config file of parameters used for model training

config_cfg.py

@@ -0,0 +1,112 @@
+data_aug_scales = [480, 512, 544, 576, 608, 640, 672, 704, 736, 768, 800]
+data_aug_max_size = 1333
+data_aug_scales2_resize = [400, 500, 600]
+data_aug_scales2_crop = [384, 600]
+data_aug_scale_overlap = None
+num_classes = 3
+lr = 0.0001
+param_dict_type = 'default'
+lr_backbone = 1e-05
+lr_backbone_names = ['backbone.0']
+lr_linear_proj_names = ['reference_points', 'sampling_offsets']
+lr_linear_proj_mult = 0.1
+ddetr_lr_param = False
+batch_size = 4
+weight_decay = 0.0001
+epochs = 46
+lr_drop = 12
+save_checkpoint_interval = 1
+clip_max_norm = 0.1
+onecyclelr = False
+multi_step_lr = False
+lr_drop_list = [33, 45]
+modelname = 'dino'
+frozen_weights = None
+backbone = 'resnet50'
+use_checkpoint = False
+on_the_fly = True
+num_samples = 8000
+dilation = False
+position_embedding = 'sine'
+pe_temperatureH = 20
+pe_temperatureW = 20
+return_interm_indices = [1, 2, 3]
+backbone_freeze_keywords = None
+enc_layers = 6
+dec_layers = 6
+unic_layers = 0
+pre_norm = False
+dim_feedforward = 2048
+hidden_dim = 256
+dropout = 0.0
+nheads = 8
+num_queries = 900
+query_dim = 4
+positive_hw = False
+specialize = False
+num_patterns = 0
+pdetr3_bbox_embed_diff_each_layer = False
+pdetr3_refHW = -1
+random_refpoints_xy = False
+fix_refpoints_hw = -1
+dabdetr_yolo_like_anchor_update = False
+dabdetr_deformable_encoder = False
+dabdetr_deformable_decoder = False
+use_deformable_box_attn = False
+box_attn_type = 'roi_align'
+dec_layer_number = None
+num_feature_levels = 4
+enc_n_points = 4
+dec_n_points = 4
+decoder_layer_noise = False
+dln_xy_noise = 0.2
+dln_hw_noise = 0.2
+add_channel_attention = False
+add_pos_value = False
+two_stage_type = 'standard'
+two_stage_pat_embed = 0
+two_stage_add_query_num = 0
+two_stage_bbox_embed_share = False
+two_stage_class_embed_share = False
+two_stage_learn_wh = True
+two_stage_default_hw = 0.05
+two_stage_keep_all_tokens = False
+num_select = 900
+transformer_activation = 'relu'
+batch_norm_type = 'FrozenBatchNorm2d'
+masks = False
+aux_loss = True
+set_cost_class = 2.0
+set_cost_bbox = 5.0
+set_cost_giou = 0.0
+cls_loss_coef = 1.0
+mask_loss_coef = 1.0
+dice_loss_coef = 1.0
+bbox_loss_coef = 5.0
+giou_loss_coef = 0.0
+enc_loss_coef = 1.0
+interm_loss_coef = 1.0
+no_interm_box_loss = False
+focal_alpha = 0.25
+to_xyxy = True
+decoder_sa_type = 'sa'
+matcher_type = 'HungarianMatcher'
+decoder_module_seq = ['sa', 'ca', 'ffn']
+nms_iou_threshold = -1
+dec_pred_bbox_embed_share = True
+dec_pred_class_embed_share = True
+use_dn = True
+dn_number = 100
+dn_box_noise_scale = 0.2
+dn_label_noise_ratio = 0.2
+embed_init_tgt = True
+dn_labelbook_size = 2
+match_unstable_error = True
+use_ema = False
+ema_decay = 0.9997
+ema_epoch = 0
+use_detached_boxes_dec_out = False
+num_parameters = 14
+boxes_only = False
+initialize_with_box_center = False
+min_permut_loss = True