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Not using distributed mode Loading config file from config/DINO/DINO_4scale.py [05/13 16:41:35.532]: git: sha: faa8520, status: clean, branch: main
[05/13 16:41:35.532]: Command: main.py --output_dir /content/sample_data -c config/DINO/DINO_4scale.py --coco_path /content/sample_data/toy-task.v2i.coco --pretrain_model_path r50_4scale.pth --num_workers 0 --options dn_scalar=100 embed_init_tgt=TRUE dn_label_coef=1.0 dn_bbox_coef=1.0 use_ema=False dn_box_noise_scale=1.0 backbone_dir=. batch_size=2 num_classes=12 [05/13 16:41:35.533]: Full config saved to /content/sample_data/config_args_all.json [05/13 16:41:35.533]: world size: 1 [05/13 16:41:35.533]: rank: 0 [05/13 16:41:35.533]: local_rank: 0 [05/13 16:41:35.533]: args: Namespace(config_file='config/DINO/DINO_4scale.py', options={'dn_scalar': 100, 'embed_init_tgt': True, 'dn_label_coef': 1.0, 'dn_bbox_coef': 1.0, 'use_ema': False, 'dn_box_noise_scale': 1.0, 'backbone_dir': '.', 'batch_size': 2, 'num_classes': 12}, dataset_file='coco', coco_path='/content/sample_data/toy-task.v2i.coco', coco_panoptic_path=None, remove_difficult=False, fix_size=False, output_dir='/content/sample_data', note='', device='cuda', seed=42, resume='', pretrain_model_path='r50_4scale.pth', finetune_ignore=None, start_epoch=0, eval=False, num_workers=0, test=False, debug=False, find_unused_params=False, save_results=False, save_log=False, world_size=1, dist_url='env://', rank=0, local_rank=0, amp=False, distributed=False, 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=12, 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=2, weight_decay=0.0001, epochs=12, lr_drop=11, 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, 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, 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=False, two_stage_default_hw=0.05, two_stage_keep_all_tokens=False, num_select=300, 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=2.0, cls_loss_coef=1.0, mask_loss_coef=1.0, dice_loss_coef=1.0, bbox_loss_coef=5.0, giou_loss_coef=2.0, enc_loss_coef=1.0, interm_loss_coef=1.0, no_interm_box_loss=False, focal_alpha=0.25, 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=1.0, dn_label_noise_ratio=0.5, embed_init_tgt=True, dn_labelbook_size=91, match_unstable_error=True, use_ema=False, ema_decay=0.9997, ema_epoch=0, use_detached_boxes_dec_out=False, dn_scalar=100, dn_label_coef=1.0, dn_bbox_coef=1.0, backbone_dir='.')
Namespace(config_file='config/DINO/DINO_4scale.py', options={'dn_scalar': 100, 'embed_init_tgt': True, 'dn_label_coef': 1.0, 'dn_bbox_coef': 1.0, 'use_ema': False, 'dn_box_noise_scale': 1.0, 'backbone_dir': '.', 'batch_size': 2, 'num_classes': 12}, dataset_file='coco', coco_path='/content/sample_data/toy-task.v2i.coco', coco_panoptic_path=None, remove_difficult=False, fix_size=False, output_dir='/content/sample_data', note='', device='cuda', seed=42, resume='', pretrain_model_path='r50_4scale.pth', finetune_ignore=None, start_epoch=0, eval=False, num_workers=0, test=False, debug=False, find_unused_params=False, save_results=False, save_log=False, world_size=1, dist_url='env://', rank=0, local_rank=0, amp=False, distributed=False, 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=12, 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=2, weight_decay=0.0001, epochs=12, lr_drop=11, 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, 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, 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=False, two_stage_default_hw=0.05, two_stage_keep_all_tokens=False, num_select=300, 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=2.0, cls_loss_coef=1.0, mask_loss_coef=1.0, dice_loss_coef=1.0, bbox_loss_coef=5.0, giou_loss_coef=2.0, enc_loss_coef=1.0, interm_loss_coef=1.0, no_interm_box_loss=False, focal_alpha=0.25, 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=1.0, dn_label_noise_ratio=0.5, embed_init_tgt=True, dn_labelbook_size=91, match_unstable_error=True, use_ema=False, ema_decay=0.9997, ema_epoch=0, use_detached_boxes_dec_out=False, dn_scalar=100, dn_label_coef=1.0, dn_bbox_coef=1.0, backbone_dir='.') Traceback (most recent call last): File "/content/DINO/DINO/main.py", line 388, in main(args) File "/content/DINO/DINO/main.py", line 143, in main model, criterion, postprocessors = build_model_main(args) ^^^^^^^^^^^^^^^^^^^^^^ File "/content/DINO/DINO/main.py", line 80, in build_model_main from models.registry import MODULE_BUILD_FUNCS File "/content/DINO/DINO/models/init.py", line 7, in from .dino import build_dino File "/content/DINO/DINO/models/dino/init.py", line 10, in from .dino import build_dino File "/content/DINO/DINO/models/dino/dino.py", line 33, in from .deformable_transformer import build_deformable_transformer File "/content/DINO/DINO/models/dino/deformable_transformer.py", line 23, in from .ops.modules import MSDeformAttn File "/content/DINO/DINO/models/dino/ops/modules/init.py", line 9, in from .ms_deform_attn import MSDeformAttn File "/content/DINO/DINO/models/dino/ops/modules/ms_deform_attn.py", line 21, in from ..functions import MSDeformAttnFunction File "/content/DINO/DINO/models/dino/ops/functions/init.py", line 9, in from .ms_deform_attn_func import MSDeformAttnFunction File "/content/DINO/DINO/models/dino/ops/functions/ms_deform_attn_func.py", line 18, in import MultiScaleDeformableAttention as MSDA ModuleNotFoundError: No module named 'MultiScaleDeformableAttention' after i run the bash command i am facing the above error pls resolve it
The text was updated successfully, but these errors were encountered:
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Not using distributed mode
Loading config file from config/DINO/DINO_4scale.py
[05/13 16:41:35.532]: git:
sha: faa8520, status: clean, branch: main
[05/13 16:41:35.532]: Command: main.py --output_dir /content/sample_data -c config/DINO/DINO_4scale.py --coco_path /content/sample_data/toy-task.v2i.coco --pretrain_model_path r50_4scale.pth --num_workers 0 --options dn_scalar=100 embed_init_tgt=TRUE dn_label_coef=1.0 dn_bbox_coef=1.0 use_ema=False dn_box_noise_scale=1.0 backbone_dir=. batch_size=2 num_classes=12
[05/13 16:41:35.533]: Full config saved to /content/sample_data/config_args_all.json
[05/13 16:41:35.533]: world size: 1
[05/13 16:41:35.533]: rank: 0
[05/13 16:41:35.533]: local_rank: 0
[05/13 16:41:35.533]: args: Namespace(config_file='config/DINO/DINO_4scale.py', options={'dn_scalar': 100, 'embed_init_tgt': True, 'dn_label_coef': 1.0, 'dn_bbox_coef': 1.0, 'use_ema': False, 'dn_box_noise_scale': 1.0, 'backbone_dir': '.', 'batch_size': 2, 'num_classes': 12}, dataset_file='coco', coco_path='/content/sample_data/toy-task.v2i.coco', coco_panoptic_path=None, remove_difficult=False, fix_size=False, output_dir='/content/sample_data', note='', device='cuda', seed=42, resume='', pretrain_model_path='r50_4scale.pth', finetune_ignore=None, start_epoch=0, eval=False, num_workers=0, test=False, debug=False, find_unused_params=False, save_results=False, save_log=False, world_size=1, dist_url='env://', rank=0, local_rank=0, amp=False, distributed=False, 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=12, 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=2, weight_decay=0.0001, epochs=12, lr_drop=11, 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, 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, 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=False, two_stage_default_hw=0.05, two_stage_keep_all_tokens=False, num_select=300, 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=2.0, cls_loss_coef=1.0, mask_loss_coef=1.0, dice_loss_coef=1.0, bbox_loss_coef=5.0, giou_loss_coef=2.0, enc_loss_coef=1.0, interm_loss_coef=1.0, no_interm_box_loss=False, focal_alpha=0.25, 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=1.0, dn_label_noise_ratio=0.5, embed_init_tgt=True, dn_labelbook_size=91, match_unstable_error=True, use_ema=False, ema_decay=0.9997, ema_epoch=0, use_detached_boxes_dec_out=False, dn_scalar=100, dn_label_coef=1.0, dn_bbox_coef=1.0, backbone_dir='.')
Namespace(config_file='config/DINO/DINO_4scale.py', options={'dn_scalar': 100, 'embed_init_tgt': True, 'dn_label_coef': 1.0, 'dn_bbox_coef': 1.0, 'use_ema': False, 'dn_box_noise_scale': 1.0, 'backbone_dir': '.', 'batch_size': 2, 'num_classes': 12}, dataset_file='coco', coco_path='/content/sample_data/toy-task.v2i.coco', coco_panoptic_path=None, remove_difficult=False, fix_size=False, output_dir='/content/sample_data', note='', device='cuda', seed=42, resume='', pretrain_model_path='r50_4scale.pth', finetune_ignore=None, start_epoch=0, eval=False, num_workers=0, test=False, debug=False, find_unused_params=False, save_results=False, save_log=False, world_size=1, dist_url='env://', rank=0, local_rank=0, amp=False, distributed=False, 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=12, 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=2, weight_decay=0.0001, epochs=12, lr_drop=11, 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, 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, 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=False, two_stage_default_hw=0.05, two_stage_keep_all_tokens=False, num_select=300, 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=2.0, cls_loss_coef=1.0, mask_loss_coef=1.0, dice_loss_coef=1.0, bbox_loss_coef=5.0, giou_loss_coef=2.0, enc_loss_coef=1.0, interm_loss_coef=1.0, no_interm_box_loss=False, focal_alpha=0.25, 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=1.0, dn_label_noise_ratio=0.5, embed_init_tgt=True, dn_labelbook_size=91, match_unstable_error=True, use_ema=False, ema_decay=0.9997, ema_epoch=0, use_detached_boxes_dec_out=False, dn_scalar=100, dn_label_coef=1.0, dn_bbox_coef=1.0, backbone_dir='.')
Traceback (most recent call last):
File "/content/DINO/DINO/main.py", line 388, in
main(args)
File "/content/DINO/DINO/main.py", line 143, in main
model, criterion, postprocessors = build_model_main(args)
^^^^^^^^^^^^^^^^^^^^^^
File "/content/DINO/DINO/main.py", line 80, in build_model_main
from models.registry import MODULE_BUILD_FUNCS
File "/content/DINO/DINO/models/init.py", line 7, in
from .dino import build_dino
File "/content/DINO/DINO/models/dino/init.py", line 10, in
from .dino import build_dino
File "/content/DINO/DINO/models/dino/dino.py", line 33, in
from .deformable_transformer import build_deformable_transformer
File "/content/DINO/DINO/models/dino/deformable_transformer.py", line 23, in
from .ops.modules import MSDeformAttn
File "/content/DINO/DINO/models/dino/ops/modules/init.py", line 9, in
from .ms_deform_attn import MSDeformAttn
File "/content/DINO/DINO/models/dino/ops/modules/ms_deform_attn.py", line 21, in
from ..functions import MSDeformAttnFunction
File "/content/DINO/DINO/models/dino/ops/functions/init.py", line 9, in
from .ms_deform_attn_func import MSDeformAttnFunction
File "/content/DINO/DINO/models/dino/ops/functions/ms_deform_attn_func.py", line 18, in
import MultiScaleDeformableAttention as MSDA
ModuleNotFoundError: No module named 'MultiScaleDeformableAttention'
after i run the bash command i am facing the above error pls resolve it
The text was updated successfully, but these errors were encountered: