diff --git a/ego4d_nlq_v1/egovlp/finetuned/ego4d_nlq_v1_multitask_egovlp_256_finetune_2e-4_objectmambafinetune173/config.txt b/ego4d_nlq_v1/egovlp/finetuned/ego4d_nlq_v1_multitask_egovlp_256_finetune_2e-4_objectmambafinetune173/config.txt new file mode 100644 index 0000000000000000000000000000000000000000..502b5c792032ba4d0e6f4e1b7524daa9fc6cc0fd --- /dev/null +++ b/ego4d_nlq_v1/egovlp/finetuned/ego4d_nlq_v1_multitask_egovlp_256_finetune_2e-4_objectmambafinetune173/config.txt @@ -0,0 +1,228 @@ +{'dataset': {'classname_feat_concat': 'only', + 'classname_feat_dir': '/root/autodl-tmp/data/ego4d/nlq/classname-clip-base/a_photo_of.pt', + 'default_fps': 30, + 'downsample_rate': 1, + 'enable_temporal_jittering': False, + 'feat_stride': 16.0, + 'fix_video_frames': 0, + 'input_txt_dim': 512, + 'input_vid_dim': 256, + 'json_file': 'ego4d_data/nlq_v1/ego4d_nlq_val_v1_lemma.jsonl', + 'lavila_caption_dir': '/root/autodl-tmp/data/ego4d/nlq/lavila/narration', + 'max_seq_len': 2560, + 'num_classes': 1, + 'num_frames': 16.0, + 'object_feat_dir': '/root/autodl-tmp/data/ego4d/nlq/co-detr/class-score0.6-minnum10-lmdb', + 'object_feat_type': 'class-score', + 'text_feat_dir': '/root/autodl-tmp/data/ego4d/nlq/SnAG/nlq_v1_clip_token_features', + 'train_jsonl_file': 'ego4d_data/nlq_v1/ego4d_nlq_train_v1_lemma_clean.jsonl', + 'val_jsonl_file': 'ego4d_data/nlq_v1/ego4d_nlq_val_v1_lemma.jsonl', + 'val_text_feat_dir': '/root/autodl-tmp/data/ego4d/nlq/SnAG/nlq_v1_clip_token_features', + 'video_feat_dir': '/root/autodl-tmp/data/ego4d/nlq/egovlp_lmdb'}, + 'dataset_name': 'ego4d_multitask', + 'devices': 'cuda:0', + 'init_rand_seed': 12345678, + 'loader': {'batch_size': 4, 'num_workers': 4}, + 'model': {'backbone_arch': [2, 4, 4, 0, 6], + 'backbone_type': 'ObjectMambaTransformer', + 'embd_dim': 512, + 'embd_kernel_size': 3, + 'embd_with_ln': True, + 'fpn_dim': 512, + 'fpn_start_level': 0, + 'fpn_type': 'identity', + 'fpn_with_ln': True, + 'generator': {'generator_type': 'point'}, + 'head_dim': 512, + 'head_kernel_size': 3, + 'head_num_layers': 3, + 'head_with_ln': True, + 'input_txt_dim': 512, + 'input_vid_dim': 256, + 'max_buffer_len_factor': 4.0, + 'max_query': 230, + 'max_seq_len': 2560, + 'max_shot_num': 1800, + 'multiscale_encoder_cfg': [{'layer_cfg': {'mha_win_size': 9, + 'n_ds_strides': [2, 2], + 'n_embd': 256, + 'n_head': 4, + 'path_pdrop': 0.1}, + 'layer_num': 6, + 'layer_type': 'TransformerBlock'}, + {'layer_cfg': {'in_channels': [256, + 256, + 256, + 256, + 256, + 256, + 256], + 'out_channel': 256}, + 'layer_num': 1, + 'layer_type': 'FPNLayernorm'}], + 'n_head': 4, + 'n_mha_win_size': 9, + 'nlq_heads_cfg': {'center_sample_radius': 1.5, + 'cls_head_cfg': {'empty_cls': [], + 'feat_dim': 256, + 'input_dim': 256, + 'kernel_size': 3, + 'num_classes': 1, + 'num_layers': 3, + 'prior_prob': 0.01, + 'with_ln': True}, + 'duration_thresh': 0.001, + 'iou_threshold': 0.1, + 'loss_normalizer': 200, + 'loss_normalizer_momentum': 0.9, + 'max_seg_num': 5, + 'min_score': 0.001, + 'pre_nms_thresh': 0.001, + 'pre_nms_topk': 2000, + 'reg_head_cfg': {'feat_dim': 256, + 'fpn_levels': 7, + 'input_dim': 256, + 'kernel_size': 3, + 'num_layers': 3, + 'with_ln': True}, + 'reg_loss_weight': 1.0, + 'train_label_smoothing': 0.1}, + 'num_classes': 1, + 'obj_encoder_cfg': [{'layer_cfg': {'act': 'relu', + 'n_in': 512, + 'n_out': 256, + 'num_layer': 2}, + 'layer_num': 1, + 'layer_type': 'MaskedConv1DLayer'}, + {'layer_cfg': {'n_embd': 256, 'path_pdrop': 0.1}, + 'layer_num': 4, + 'layer_type': 'ObjectEncoderBlock'}], + 'object_dim': 512, + 'object_use_cross_model': True, + 'object_win_size': 1, + 'regression_range': [[0, 4], + [2, 8], + [4, 16], + [8, 32], + [16, 64], + [32, 128], + [64, 10000]], + 'scale_factor': 2, + 'tasks': ['NLQ', 'VTM'], + 'test_cfg': {'duration_thresh': 0.001, + 'ext_score_file': None, + 'iou_threshold': 0.1, + 'max_seg_num': 5, + 'min_score': 0.001, + 'multiclass_nms': True, + 'nms_method': 'soft', + 'nms_sigma': 0.75, + 'pre_nms_thresh': 0.001, + 'pre_nms_topk': 2000, + 'test_num': 1, + 'test_start_epoch': 2, + 'voting_thresh': 0.9}, + 'text_encoder_cfg': [{'layer_cfg': {'act': 'relu', + 'n_in': 512, + 'n_out': 256, + 'num_layer': 2}, + 'layer_num': 1, + 'layer_type': 'MaskedConv1DLayer'}, + {'layer_cfg': {'n_embd': 256, + 'n_head': 4, + 'path_pdrop': 0.1}, + 'layer_num': 4, + 'layer_type': 'TransformerBlock'}], + 'train_cfg': {'box_loss_weight': 5.0, + 'center_sample': 'radius', + 'center_sample_radius': 1.5, + 'clip_grad_l2norm': 1.0, + 'cls_prior_prob': 0.01, + 'dropout': 0.0, + 'droppath': 0.1, + 'head_empty_cls': [], + 'init_loss_norm': 200, + 'iou_loss_weight': 1.0, + 'label_smoothing': 0.1, + 'loss_weight': 1.0, + 'mamba_arch': ['bimamba1', 'mlp', 'obj'], + 'num_decoder_layer': 6}, + 'use_abs_pe': True, + 'use_lmha_in_fpn': True, + 'use_rel_pe': False, + 'video_encoder_cfg': [{'layer_cfg': {'act': 'relu', + 'kernel_size': 3, + 'n_hidden': 256, + 'n_in': 256, + 'n_out': 256, + 'num_layer': 2}, + 'layer_num': 1, + 'layer_type': 'MaskedConv1DLayer'}, + {'layer_cfg': {'mamba_arch': ['bimamba1', + 'mlp', + 'obj'], + 'n_embd': 256, + 'n_head': 4, + 'path_pdrop': 0.1}, + 'layer_num': 4, + 'layer_type': 'ObjectMambaBlock'}], + 'vtm_heads_cfg': {'loss_weight': 1.5, + 'multiscale': False, + 'shot_aggregator_cfg': {'layer_cfg': {'cross_mixer_cfg': {'block_cfg': {'n_embd': 256, + 'n_head': 4}, + 'block_type': 'MaskedMHA'}, + 'num_layer': 1, + 'path_pdrop': 0.1, + 'query_num': 5, + 'self_mixer_cfg': {'block_cfg': {'n_embd': 256, + 'n_head': 4}, + 'block_type': 'MaskedMHCA'}}, + 'layer_type': 'QFormerLayer'}, + 'similarity_head_cfg': {'layer_cfg': {'con_dim': 256, + 'x_dim': 256, + 'y_dim': 256}, + 'layer_type': 'Cosine'}, + 'soft_label': False}}, + 'model_name': 'MultiTaskArch', + 'opt': {'backbone_lr_weight': 1, + 'epochs': 6, + 'learning_rate': 0.0004, + 'momentum': 0.9, + 'schedule_gamma': 0.1, + 'schedule_steps': [], + 'schedule_type': 'cosine', + 'type': 'AdamW', + 'warmup': True, + 'warmup_epochs': 4, + 'weight_decay': 0.05}, + 'output_folder': '/root/autodl-tmp/model/GroundNLQ/ckpt/', + 'test_cfg': {'duration_thresh': 0.001, + 'ext_score_file': None, + 'iou_threshold': 0.1, + 'max_seg_num': 5, + 'min_score': 0.001, + 'multiclass_nms': True, + 'nms_method': 'soft', + 'nms_sigma': 0.75, + 'pre_nms_thresh': 0.001, + 'pre_nms_topk': 2000, + 'test_num': 1, + 'test_start_epoch': 2, + 'voting_thresh': 0.9}, + 'track': 'goal_step', + 'train_cfg': {'box_loss_weight': 5.0, + 'center_sample': 'radius', + 'center_sample_radius': 1.5, + 'clip_grad_l2norm': 1.0, + 'cls_prior_prob': 0.01, + 'dropout': 0.0, + 'droppath': 0.1, + 'head_empty_cls': [], + 'init_loss_norm': 200, + 'iou_loss_weight': 1.0, + 'label_smoothing': 0.1, + 'loss_weight': 1.0, + 'mamba_arch': ['bimamba1', 'mlp', 'obj'], + 'num_decoder_layer': 6}, + 'train_split': ['training'], + 'val_split': ['validation']} diff --git a/ego4d_nlq_v1/egovlp/finetuned/ego4d_nlq_v1_multitask_egovlp_256_finetune_2e-4_objectmambafinetune173/eval_results.txt b/ego4d_nlq_v1/egovlp/finetuned/ego4d_nlq_v1_multitask_egovlp_256_finetune_2e-4_objectmambafinetune173/eval_results.txt new file mode 100644 index 0000000000000000000000000000000000000000..6a3ae5ed271238a5d79851156f4c8f80ec7b1cb5 --- /dev/null +++ b/ego4d_nlq_v1/egovlp/finetuned/ego4d_nlq_v1_multitask_egovlp_256_finetune_2e-4_objectmambafinetune173/eval_results.txt @@ -0,0 +1,110 @@ ++----------+----------+----------+----------+----------+----------+ +| Rank@1 | Rank@1 | Rank@5 | Rank@5 | Rank@10 | Rank@10 | +| mIoU@0.3 | mIoU@0.5 | mIoU@0.3 | mIoU@0.5 | mIoU@0.3 | mIoU@0.5 | ++----------+----------+----------+----------+----------+----------+ +| 8.00 | 4.31 | 23.26 | 12.13 | 23.26 | 12.13 | ++----------+----------+----------+----------+----------+----------+avgiou=8.002065 +epoch0 + final_loss 0.67 (1.66) + cls_loss 0.24 (0.91) + reg_loss 0.17 (0.39) + vtm_loss 0.18 (0.24) ++----------+----------+----------+----------+----------+----------+ +| Rank@1 | Rank@1 | Rank@5 | Rank@5 | Rank@10 | Rank@10 | +| mIoU@0.3 | mIoU@0.5 | mIoU@0.3 | mIoU@0.5 | mIoU@0.3 | mIoU@0.5 | ++----------+----------+----------+----------+----------+----------+ +| 20.03 | 13.29 | 41.35 | 29.04 | 41.35 | 29.04 | ++----------+----------+----------+----------+----------+----------+avgiou=20.030976 +epoch1 + final_loss 0.71 (1.61) + cls_loss 0.29 (0.90) + reg_loss 0.15 (0.37) + vtm_loss 0.18 (0.23) ++----------+----------+----------+----------+----------+----------+ +| Rank@1 | Rank@1 | Rank@5 | Rank@5 | Rank@10 | Rank@10 | +| mIoU@0.3 | mIoU@0.5 | mIoU@0.3 | mIoU@0.5 | mIoU@0.3 | mIoU@0.5 | ++----------+----------+----------+----------+----------+----------+ +| 21.35 | 14.61 | 43.78 | 32.11 | 43.78 | 32.11 | ++----------+----------+----------+----------+----------+----------+avgiou=21.347445 +epoch2 + final_loss 0.63 (1.59) + cls_loss 0.22 (0.89) + reg_loss 0.15 (0.36) + vtm_loss 0.18 (0.23) ++----------+----------+----------+----------+----------+----------+ +| Rank@1 | Rank@1 | Rank@5 | Rank@5 | Rank@10 | Rank@10 | +| mIoU@0.3 | mIoU@0.5 | mIoU@0.3 | mIoU@0.5 | mIoU@0.3 | mIoU@0.5 | ++----------+----------+----------+----------+----------+----------+ +| 21.97 | 15.20 | 44.61 | 32.96 | 44.61 | 32.96 | ++----------+----------+----------+----------+----------+----------+avgiou=21.966959 +epoch3 + final_loss 0.54 (1.60) + cls_loss 0.16 (0.90) + reg_loss 0.11 (0.36) + vtm_loss 0.18 (0.23) ++----------+----------+----------+----------+----------+----------+ +| Rank@1 | Rank@1 | Rank@5 | Rank@5 | Rank@10 | Rank@10 | +| mIoU@0.3 | mIoU@0.5 | mIoU@0.3 | mIoU@0.5 | mIoU@0.3 | mIoU@0.5 | ++----------+----------+----------+----------+----------+----------+ +| 21.55 | 14.79 | 42.82 | 31.62 | 42.82 | 31.62 | ++----------+----------+----------+----------+----------+----------+avgiou=21.553949 +epoch4 + final_loss 0.68 (1.64) + cls_loss 0.26 (0.93) + reg_loss 0.16 (0.36) + vtm_loss 0.17 (0.23) ++----------+----------+----------+----------+----------+----------+ +| Rank@1 | Rank@1 | Rank@5 | Rank@5 | Rank@10 | Rank@10 | +| mIoU@0.3 | mIoU@0.5 | mIoU@0.3 | mIoU@0.5 | mIoU@0.3 | mIoU@0.5 | ++----------+----------+----------+----------+----------+----------+ +| 20.55 | 14.09 | 41.40 | 30.23 | 41.40 | 30.23 | ++----------+----------+----------+----------+----------+----------+avgiou=20.547238 +epoch5 + final_loss 0.61 (1.69) + cls_loss 0.20 (0.98) + reg_loss 0.13 (0.36) + vtm_loss 0.19 (0.23) ++----------+----------+----------+----------+----------+----------+ +| Rank@1 | Rank@1 | Rank@5 | Rank@5 | Rank@10 | Rank@10 | +| mIoU@0.3 | mIoU@0.5 | mIoU@0.3 | mIoU@0.5 | mIoU@0.3 | mIoU@0.5 | ++----------+----------+----------+----------+----------+----------+ +| 19.90 | 13.42 | 39.03 | 28.32 | 39.03 | 28.32 | ++----------+----------+----------+----------+----------+----------+avgiou=19.901910 +epoch6 + final_loss 0.72 (1.78) + cls_loss 0.23 (1.04) + reg_loss 0.13 (0.37) + vtm_loss 0.24 (0.25) ++----------+----------+----------+----------+----------+----------+ +| Rank@1 | Rank@1 | Rank@5 | Rank@5 | Rank@10 | Rank@10 | +| mIoU@0.3 | mIoU@0.5 | mIoU@0.3 | mIoU@0.5 | mIoU@0.3 | mIoU@0.5 | ++----------+----------+----------+----------+----------+----------+ +| 18.61 | 12.39 | 36.91 | 27.00 | 36.91 | 27.00 | ++----------+----------+----------+----------+----------+----------+avgiou=18.611255 +epoch7 + final_loss 0.64 (1.85) + cls_loss 0.20 (1.08) + reg_loss 0.10 (0.38) + vtm_loss 0.23 (0.26) ++----------+----------+----------+----------+----------+----------+ +| Rank@1 | Rank@1 | Rank@5 | Rank@5 | Rank@10 | Rank@10 | +| mIoU@0.3 | mIoU@0.5 | mIoU@0.3 | mIoU@0.5 | mIoU@0.3 | mIoU@0.5 | ++----------+----------+----------+----------+----------+----------+ +| 17.73 | 11.51 | 35.26 | 25.27 | 35.26 | 25.27 | ++----------+----------+----------+----------+----------+----------+avgiou=17.733609 +epoch8 + final_loss 0.74 (1.92) + cls_loss 0.25 (1.12) + reg_loss 0.13 (0.38) + vtm_loss 0.23 (0.28) ++----------+----------+----------+----------+----------+----------+ +| Rank@1 | Rank@1 | Rank@5 | Rank@5 | Rank@10 | Rank@10 | +| mIoU@0.3 | mIoU@0.5 | mIoU@0.3 | mIoU@0.5 | mIoU@0.3 | mIoU@0.5 | ++----------+----------+----------+----------+----------+----------+ +| 17.42 | 11.51 | 33.66 | 24.26 | 33.66 | 24.26 | ++----------+----------+----------+----------+----------+----------+avgiou=17.423851 +epoch9 + final_loss 0.70 (1.95) + cls_loss 0.25 (1.14) + reg_loss 0.11 (0.38) + vtm_loss 0.23 (0.29) diff --git a/ego4d_nlq_v1/egovlp/finetuned/ego4d_nlq_v1_multitask_egovlp_256_finetune_2e-4_objectmambafinetune173/logs/EVAL_GPU_0_all_losses_cls_loss/events.out.tfevents.1729874043.autodl-container-b3ec4da47b-bc5fbea1.663163.4 b/ego4d_nlq_v1/egovlp/finetuned/ego4d_nlq_v1_multitask_egovlp_256_finetune_2e-4_objectmambafinetune173/logs/EVAL_GPU_0_all_losses_cls_loss/events.out.tfevents.1729874043.autodl-container-b3ec4da47b-bc5fbea1.663163.4 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tools/train_ego4d_finetune_head_twogpu.sh configs/ego4d_nlq_v1_multitask_egovlp_256_finetune_2e-4.yaml /root/autodl-tmp/model/GroundNLQ/ckpt/save/model_5_pretrain_egovlp.pth.tar objectmambafinetune173 0,1 \ No newline at end of file diff --git a/ego4d_nlq_v2/internvideo/finetune/ego4d_nlq_v2_multitask_finetune_2e-4_objectmambafinetune144/config.txt b/ego4d_nlq_v2/internvideo/finetune/ego4d_nlq_v2_multitask_finetune_2e-4_objectmambafinetune144/config.txt new file mode 100644 index 0000000000000000000000000000000000000000..bc60f12e05869b4a63288a9eae208cb12b0c5245 --- /dev/null +++ b/ego4d_nlq_v2/internvideo/finetune/ego4d_nlq_v2_multitask_finetune_2e-4_objectmambafinetune144/config.txt @@ -0,0 +1,226 @@ +{'dataset': {'classname_feat_concat': 'only', + 'classname_feat_dir': '/root/autodl-tmp/data/ego4d/nlq/classname-clip-base/a_photo_of.pt', + 'default_fps': 30, + 'downsample_rate': 1, + 'enable_temporal_jittering': False, + 'feat_stride': 16.0, + 'fix_video_frames': 0, + 'input_txt_dim': 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'obj'], + 'num_decoder_layer': 6}, + 'train_split': ['training'], + 'val_split': ['validation']} diff --git a/ego4d_nlq_v2/internvideo/finetune/ego4d_nlq_v2_multitask_finetune_2e-4_objectmambafinetune144/eval_results.txt b/ego4d_nlq_v2/internvideo/finetune/ego4d_nlq_v2_multitask_finetune_2e-4_objectmambafinetune144/eval_results.txt new file mode 100644 index 0000000000000000000000000000000000000000..83732d4e29f71f9fa145d7098475fb41c06d9bd5 --- /dev/null +++ b/ego4d_nlq_v2/internvideo/finetune/ego4d_nlq_v2_multitask_finetune_2e-4_objectmambafinetune144/eval_results.txt @@ -0,0 +1,44 @@ ++----------+----------+----------+----------+----------+----------+ +| Rank@1 | Rank@1 | Rank@5 | Rank@5 | Rank@10 | Rank@10 | +| mIoU@0.3 | mIoU@0.5 | mIoU@0.3 | mIoU@0.5 | mIoU@0.3 | mIoU@0.5 | ++----------+----------+----------+----------+----------+----------+ +| 22.28 | 13.51 | 47.47 | 30.82 | 47.47 | 30.82 | ++----------+----------+----------+----------+----------+----------+avgiou=17.893234 +epoch0 + final_loss 1.49 (1.50) + cls_loss 0.80 (0.82) + reg_loss 0.41 (0.37) + vtm_loss 0.18 (0.21) ++----------+----------+----------+----------+----------+----------+ +| Rank@1 | Rank@1 | Rank@5 | Rank@5 | Rank@10 | Rank@10 | +| mIoU@0.3 | mIoU@0.5 | mIoU@0.3 | mIoU@0.5 | mIoU@0.3 | mIoU@0.5 | ++----------+----------+----------+----------+----------+----------+ +| 30.80 | 21.22 | 57.93 | 43.91 | 57.93 | 43.91 | ++----------+----------+----------+----------+----------+----------+avgiou=26.010545 +epoch1 + final_loss 1.32 (1.47) + cls_loss 0.76 (0.81) + reg_loss 0.29 (0.34) + vtm_loss 0.18 (0.21) ++----------+----------+----------+----------+----------+----------+ +| Rank@1 | Rank@1 | Rank@5 | Rank@5 | Rank@10 | Rank@10 | +| mIoU@0.3 | mIoU@0.5 | mIoU@0.3 | mIoU@0.5 | mIoU@0.3 | mIoU@0.5 | ++----------+----------+----------+----------+----------+----------+ +| 31.63 | 22.03 | 57.91 | 45.19 | 57.91 | 45.19 | 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b/goalstep/internvideo/finetuned/ego4d_goalstep_v2_baseline_2e-4_objectmambafinetune135/config.txt new file mode 100644 index 0000000000000000000000000000000000000000..0c1b62b6ade2662c2570ee89877c43d8c3eff23b --- /dev/null +++ b/goalstep/internvideo/finetuned/ego4d_goalstep_v2_baseline_2e-4_objectmambafinetune135/config.txt @@ -0,0 +1,223 @@ +{'dataset': {'classname_feat_concat': 'only', + 'classname_feat_dir': '/root/autodl-tmp/data/ego4d/nlq/classname-clip-base/a_photo_of.pt', + 'default_fps': 30, + 'downsample_rate': 1, + 'enable_temporal_jittering': False, + 'feat_stride': 16.0, + 'fix_video_frames': 0, + 'input_txt_dim': 512, + 'input_vid_dim': 2304, + 'json_file': 'ego4d_data/goalstep_data/ego4d_goal_step_val_v2_lemma.jsonl', + 'lavila_caption_dir': '/root/autodl-tmp/data/ego4d/goalstep/lavila-64/', + 'max_seq_len': 9216, + 'num_classes': 1, + 'num_frames': 16.0, + 'object_feat_dir': '/root/autodl-tmp/data/ego4d/goalstep/co-detr/clip-class-lmdb', + 'object_feat_type': 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/dev/null +++ b/goalstep/internvideo/finetuned/ego4d_goalstep_v2_baseline_2e-4_objectmambafinetune135/eval_results.txt @@ -0,0 +1,56 @@ ++----------+----------+----------+----------+----------+----------+ +| Rank@1 | Rank@1 | Rank@5 | Rank@5 | Rank@10 | Rank@10 | +| mIoU@0.3 | mIoU@0.5 | mIoU@0.3 | mIoU@0.5 | mIoU@0.3 | mIoU@0.5 | ++----------+----------+----------+----------+----------+----------+ +| 26.13 | 21.61 | 56.73 | 49.30 | 56.73 | 49.30 | ++----------+----------+----------+----------+----------+----------+avgiou=26.130457 +epoch0 ++----------+----------+----------+----------+----------+----------+ +| Rank@1 | Rank@1 | Rank@5 | Rank@5 | Rank@10 | Rank@10 | +| mIoU@0.3 | mIoU@0.5 | mIoU@0.3 | mIoU@0.5 | mIoU@0.3 | mIoU@0.5 | ++----------+----------+----------+----------+----------+----------+ +| 27.99 | 23.83 | 58.72 | 51.57 | 58.72 | 51.57 | ++----------+----------+----------+----------+----------+----------+avgiou=27.988565 +epoch1 ++----------+----------+----------+----------+----------+----------+ +| Rank@1 | Rank@1 | Rank@5 | Rank@5 | Rank@10 | Rank@10 | +| mIoU@0.3 | mIoU@0.5 | mIoU@0.3 | mIoU@0.5 | mIoU@0.3 | mIoU@0.5 | ++----------+----------+----------+----------+----------+----------+ +| 28.42 | 23.79 | 59.50 | 52.39 | 59.50 | 52.39 | ++----------+----------+----------+----------+----------+----------+avgiou=28.417360 +epoch2 ++----------+----------+----------+----------+----------+----------+ +| Rank@1 | Rank@1 | Rank@5 | Rank@5 | Rank@10 | Rank@10 | +| mIoU@0.3 | mIoU@0.5 | mIoU@0.3 | mIoU@0.5 | mIoU@0.3 | mIoU@0.5 | ++----------+----------+----------+----------+----------+----------+ +| 28.17 | 24.06 | 58.74 | 51.74 | 58.74 | 51.74 | ++----------+----------+----------+----------+----------+----------+avgiou=28.170478 +epoch3 ++----------+----------+----------+----------+----------+----------+ +| Rank@1 | Rank@1 | Rank@5 | Rank@5 | Rank@10 | Rank@10 | +| mIoU@0.3 | mIoU@0.5 | mIoU@0.3 | mIoU@0.5 | mIoU@0.3 | mIoU@0.5 | ++----------+----------+----------+----------+----------+----------+ +| 28.74 | 24.27 | 59.16 | 52.27 | 59.16 | 52.27 | ++----------+----------+----------+----------+----------+----------+avgiou=28.742204 +epoch4 ++----------+----------+----------+----------+----------+----------+ +| Rank@1 | Rank@1 | Rank@5 | Rank@5 | Rank@10 | Rank@10 | +| mIoU@0.3 | mIoU@0.5 | mIoU@0.3 | mIoU@0.5 | mIoU@0.3 | mIoU@0.5 | ++----------+----------+----------+----------+----------+----------+ +| 28.60 | 24.44 | 59.65 | 53.13 | 59.65 | 53.13 | ++----------+----------+----------+----------+----------+----------+avgiou=28.599272 +epoch5 ++----------+----------+----------+----------+----------+----------+ +| Rank@1 | Rank@1 | Rank@5 | Rank@5 | Rank@10 | Rank@10 | +| mIoU@0.3 | mIoU@0.5 | mIoU@0.3 | mIoU@0.5 | mIoU@0.3 | mIoU@0.5 | ++----------+----------+----------+----------+----------+----------+ +| 29.61 | 24.94 | 59.51 | 52.48 | 59.51 | 52.48 | 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b/goalstep/internvideo/finetuned/ego4d_goalstep_v2_baseline_2e-4_objectmambafinetune135/run.sh new file mode 100644 index 0000000000000000000000000000000000000000..5588ac2f1e8f3ae2663ff4bbd2a13dc2dbb06f5e --- /dev/null +++ b/goalstep/internvideo/finetuned/ego4d_goalstep_v2_baseline_2e-4_objectmambafinetune135/run.sh @@ -0,0 +1 @@ +bash tools/train_ego4d_finetune_head_4gpu_noeval.sh configs/ego4d_goalstep_v2_baseline_2e-4.yaml /root/autodl-tmp/model/GroundNLQ/ckpt/save/model_7_pretrain.pth.tar objectmambafinetune135 0,1,2,3 \ No newline at end of file diff --git a/pretrain_naq/egovlp/model_5_pretrain_egovlp.pth.tar b/pretrain_naq/egovlp/model_5_pretrain_egovlp.pth.tar new file mode 100644 index 0000000000000000000000000000000000000000..4117b398c625d1f26a38df6e690f3c6ed581e4b3 --- /dev/null +++ b/pretrain_naq/egovlp/model_5_pretrain_egovlp.pth.tar @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0582a3fc28fd33b0c1a183014ca70eaa39faffad9c5955f97ce460f01324b04d +size 122080780 diff --git a/pretrain_naq/internvideo/model_7_pretrain.pth.tar b/pretrain_naq/internvideo/model_7_pretrain.pth.tar new file mode 100644 index 0000000000000000000000000000000000000000..c8f895314252897cee99808082fbf56f21a0b55f --- /dev/null +++ b/pretrain_naq/internvideo/model_7_pretrain.pth.tar @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:55ea828749455f900e0d7bad3556d6d4035d31a7fc247a1e3d6b697a86ec5ed1 +size 425493745 diff --git a/tacos/c3d/scratch/tacos_c3d_glove_weight1_5e-5_objectmambafinetune150/config.txt b/tacos/c3d/scratch/tacos_c3d_glove_weight1_5e-5_objectmambafinetune150/config.txt new file mode 100644 index 0000000000000000000000000000000000000000..c74819b46347bd81f52b99d5029f75b7620545bf --- /dev/null +++ b/tacos/c3d/scratch/tacos_c3d_glove_weight1_5e-5_objectmambafinetune150/config.txt @@ -0,0 +1,228 @@ +{'dataset': {'classname_feat_concat': 'only', + 'classname_feat_dir': 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