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LightningNO1
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SimCIS

Image Segmentation
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  1. .gitattributes +1 -0
  2. README.md +35 -3
  3. assets/CVPR_2025_SimCIS.pdf +3 -0
  4. assets/framework.svg +0 -0
  5. ps_100-10_42/step6/config.yaml +443 -0
  6. ps_100-10_42/step6/fake_query.pkl +3 -0
  7. ps_100-10_42/step6/last_checkpoint +1 -0
  8. ps_100-10_42/step6/metrics.json +0 -0
  9. ps_100-10_42/step6/model_final.pth +3 -0
  10. ps_100-10_42/step6/psd_distribution.json +1 -0
  11. ps_100-50_40/step2/config.yaml +439 -0
  12. ps_100-50_40/step2/last_checkpoint +1 -0
  13. ps_100-50_40/step2/metrics.json +0 -0
  14. ps_100-50_40/step2/model_final.pth +3 -0
  15. ps_100-50_40/step2/psd_distribution.json +1 -0
  16. ps_100-5_35/step11/config.yaml +452 -0
  17. ps_100-5_35/step11/fake_query.pkl +3 -0
  18. ps_100-5_35/step11/last_checkpoint +1 -0
  19. ps_100-5_35/step11/metrics.json +0 -0
  20. ps_100-5_35/step11/model_final.pth +3 -0
  21. ps_100-5_35/step11/psd_distribution.json +1 -0
  22. ss_100-10_42/step6/config.yaml +452 -0
  23. ss_100-10_42/step6/fake_query.pkl +3 -0
  24. ss_100-10_42/step6/last_checkpoint +1 -0
  25. ss_100-10_42/step6/metrics.json +0 -0
  26. ss_100-10_42/step6/model_final.pth +3 -0
  27. ss_100-10_42/step6/psd_distribution.json +1 -0
  28. ss_100-50_48/step2/config.yaml +452 -0
  29. ss_100-50_48/step2/fake_query.pkl +3 -0
  30. ss_100-50_48/step2/last_checkpoint +1 -0
  31. ss_100-50_48/step2/metrics.json +0 -0
  32. ss_100-50_48/step2/model_final.pth +3 -0
  33. ss_100-50_48/step2/psd_distribution.json +1 -0
  34. ss_100-5_38/step11/config.yaml +452 -0
  35. ss_100-5_38/step11/fake_query.pkl +3 -0
  36. ss_100-5_38/step11/last_checkpoint +1 -0
  37. ss_100-5_38/step11/metrics.json +0 -0
  38. ss_100-5_38/step11/model_final.pth +3 -0
  39. ss_100-5_38/step11/psd_distribution.json +1 -0
.gitattributes CHANGED
@@ -34,3 +34,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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  ss_100base/step1/metrics.json filter=lfs diff=lfs merge=lfs -text
 
 
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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  ss_100base/step1/metrics.json filter=lfs diff=lfs merge=lfs -text
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+ assets/CVPR_2025_SimCIS.pdf filter=lfs diff=lfs merge=lfs -text
README.md CHANGED
@@ -1,3 +1,35 @@
1
- ---
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- license: mit
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
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+ language:
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+ - en
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+ license: mit
5
+ ---
6
+
7
+ # SimCIS
8
+
9
+ **Rethinking Query-based Transformer for Continual Image Segmentation.** *(CVPR2025)*
10
+
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+ [![License](https://img.shields.io/badge/License-MIT-blue.svg?style=flat-square)](LICENSE)[![Paper](https://badgen.net/badge/icon/arXiv?icon=awesome&label&color=red&style=flat-square)](./assets/CVPR_2025_SimCIS.pdf)
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+ ![SimCLS](assets/framework.svg)
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+
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+ By [Yuchen Zhu*](https://github.com/ZhuYuChenNO1), [Cheng Shi*](https://chengshiest.github.io/), Dingyou Wang, Jiajin Tang, Zhengxuan Wei, Yu Wu, Guanbin Li and [Sibei Yang†](https://faculty.sist.shanghaitech.edu.cn/yangsibei/)
15
+
16
+ ## SEE [Github](https://github.com/SooLab/SimCIS) to use the weights!!!
17
+
18
+ ## 📖 Cite Us
19
+ If you find this repository useful in your research, please consider giving a star ⭐ and a citation
20
+ ```bibtex
21
+ @inproceedings{zhu2025rethinking,
22
+ title={Rethinking Query-based Transformer for Continual Image Segmentation},
23
+ author={Zhu, Yuchen and Shi, Cheng and Wang, Dingyou and Tang, Jiajin and Wei, Zhengxuan and Wu, Yu and Li, Guanbin and Yang, Sibei},
24
+ booktitle={Proceedings of the Computer Vision and Pattern Recognition Conference},
25
+ pages={4595--4606},
26
+ year={2025}
27
+ }
28
+ ```
29
+
30
+
31
+ ## 👍 Acknowledgement and Related Work
32
+ * This code is mainly based on [Mask2Former](https://github.com/facebookresearch/Mask2Former). We thank them for their excellent work.
33
+ * Related work for continual image segmentation: [Balconpas](https://github.com/jinpeng0528/BalConpas/tree/master), [ECLIPSE](https://github.com/clovaai/ECLIPSE). We appreciate the contributions of these researchers.
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+
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+
assets/CVPR_2025_SimCIS.pdf ADDED
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+ size 1575052
assets/framework.svg ADDED
ps_100-10_42/step6/config.yaml ADDED
@@ -0,0 +1,443 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ CONT:
2
+ BASE_CLS: 100
3
+ COLLECT_QUERY_MODE: false
4
+ CUMULATIVE_PSDNUM: false
5
+ DISTRIBUTION_ALPHA: 0.5
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+ FREEZE_LABEL: false
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+ INC_CLS: 10
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+ KL_ALL: true
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+ KL_WEIGHT: 2.0
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+ LIB_SIZE: 80
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+ MED_TOKENS_WEIGHT: 5.0
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+ MEMORY: false
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+ OLD_WEIGHTS: ./output/ps/100-10_fake1/step5/model_final.pth
14
+ PSD_LABEL_THRESHOLD: 0.35
15
+ SETTING: overlapped
16
+ TASK: 6
17
+ TOT_CLS: 150
18
+ VQ_NUMBER: 1
19
+ WEIGHTED_SAMPLE: true
20
+ WEIGHTS: null
21
+ CUDNN_BENCHMARK: false
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+ DATALOADER:
23
+ ASPECT_RATIO_GROUPING: true
24
+ FILTER_EMPTY_ANNOTATIONS: true
25
+ NUM_WORKERS: 2
26
+ REPEAT_SQRT: true
27
+ REPEAT_THRESHOLD: 0.0
28
+ SAMPLER_TRAIN: TrainingSampler
29
+ DATASETS:
30
+ PRECOMPUTED_PROPOSAL_TOPK_TEST: 1000
31
+ PRECOMPUTED_PROPOSAL_TOPK_TRAIN: 2000
32
+ PROPOSAL_FILES_TEST: []
33
+ PROPOSAL_FILES_TRAIN: []
34
+ TEST:
35
+ - current_ade20k_panoptic_val
36
+ TRAIN:
37
+ - current_ade20k_panoptic_train
38
+ GLOBAL:
39
+ HACK: 1.0
40
+ INPUT:
41
+ COLOR_AUG_SSD: true
42
+ CROP:
43
+ ENABLED: true
44
+ SINGLE_CATEGORY_MAX_AREA: 1.0
45
+ SIZE:
46
+ - 640
47
+ - 640
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+ TYPE: absolute
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+ DATASET_MAPPER_NAME: continual_panoptic
50
+ FORMAT: RGB
51
+ IMAGE_SIZE: 1024
52
+ MASK_FORMAT: polygon
53
+ MAX_SCALE: 2.0
54
+ MAX_SIZE_TEST: 2560
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+ MAX_SIZE_TRAIN: 2560
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+ MIN_SCALE: 0.1
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+ MIN_SIZE_TEST: 640
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+ MIN_SIZE_TRAIN:
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+ - 320
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+ - 384
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+ - 448
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+ - 512
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+ - 576
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+ - 704
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+ - 1088
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+ - 1152
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+ - 1216
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+ - 1280
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+ MIN_SIZE_TRAIN_SAMPLING: choice
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+ RANDOM_FLIP: horizontal
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+ SIZE_DIVISIBILITY: 640
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+ MODEL:
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+ ANCHOR_GENERATOR:
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+ ANGLES:
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+ - - -90
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+ - 0
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+ - 90
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+ ASPECT_RATIOS:
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+ - - 0.5
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+ - 1.0
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+ - 2.0
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+ NAME: DefaultAnchorGenerator
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+ OFFSET: 0.0
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+ SIZES:
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+ - - 32
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+ - 64
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+ - 128
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+ - 256
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+ - 512
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+ BACKBONE:
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+ FREEZE_AT: 0
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+ NAME: build_resnet_backbone
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+ DEVICE: cuda
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+ FPN:
101
+ FUSE_TYPE: sum
102
+ IN_FEATURES: []
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+ NORM: ''
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+ OUT_CHANNELS: 256
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+ KEYPOINT_ON: false
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+ LOAD_PROPOSALS: false
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+ MASK_FORMER:
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+ CLASS_WEIGHT: 4.0
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+ CLIP_DIM: 768
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+ DEC_LAYERS: 10
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+ DEEP_SUPERVISION: true
112
+ DICE_WEIGHT: 5.0
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+ DIM_FEEDFORWARD: 2048
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+ DROPOUT: 0.0
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+ ENC_LAYERS: 0
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+ ENFORCE_INPUT_PROJ: false
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+ HIDDEN_DIM: 256
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+ IMPORTANCE_SAMPLE_RATIO: 0.75
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+ MASK_WEIGHT: 5.0
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+ NHEADS: 8
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+ NO_OBJECT_WEIGHT: 0.1
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+ NUM_OBJECT_QUERIES: 100
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+ OVERSAMPLE_RATIO: 3.0
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+ PRE_NORM: false
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+ SIZE_DIVISIBILITY: 32
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+ TEST:
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+ INSTANCE_ON: true
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+ OBJECT_MASK_THRESHOLD: 0.25
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+ OVERLAP_THRESHOLD: 0.8
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+ PANOPTIC_ON: true
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+ SEMANTIC_ON: true
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+ SEM_SEG_POSTPROCESSING_BEFORE_INFERENCE: false
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+ TEXT_PATH: label_embedding/ade20k_150_laion768_all.npy
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+ TRAIN_NUM_POINTS: 12544
135
+ TRANSFORMER_DECODER_NAME: MultiScaleMaskedTransformerDecoder
136
+ TRANSFORMER_IN_FEATURE: multi_scale_pixel_decoder
137
+ USE_TEXT_EMBEDDING: false
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+ MASK_ON: false
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+ META_ARCHITECTURE: MaskFormer
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+ PANOPTIC_FPN:
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+ COMBINE:
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+ ENABLED: true
143
+ INSTANCES_CONFIDENCE_THRESH: 0.5
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+ OVERLAP_THRESH: 0.5
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+ STUFF_AREA_LIMIT: 4096
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+ INSTANCE_LOSS_WEIGHT: 1.0
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+ PIXEL_MEAN:
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+ - 123.675
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+ - 116.28
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+ - 103.53
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+ PIXEL_STD:
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+ - 58.395
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+ - 57.12
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+ - 57.375
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+ PROPOSAL_GENERATOR:
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+ MIN_SIZE: 0
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+ NAME: RPN
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+ RESNETS:
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+ DEFORM_MODULATED: false
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+ DEFORM_NUM_GROUPS: 1
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+ DEFORM_ON_PER_STAGE:
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+ - false
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+ - false
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+ - false
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+ - false
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+ DEPTH: 50
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+ NORM: FrozenBN
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+ NUM_GROUPS: 1
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+ OUT_FEATURES:
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+ - res2
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+ - res3
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+ - res4
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+ - res5
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+ RES2_OUT_CHANNELS: 256
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+ RES4_DILATION: 1
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+ RES5_DILATION: 1
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+ RES5_MULTI_GRID:
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+ - 1
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+ - 1
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+ - 1
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+ STEM_OUT_CHANNELS: 64
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+ STEM_TYPE: basic
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+ STRIDE_IN_1X1: false
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+ WIDTH_PER_GROUP: 64
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+ RETINANET:
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+ BBOX_REG_LOSS_TYPE: smooth_l1
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+ BBOX_REG_WEIGHTS: &id002
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+ - 1.0
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+ - 1.0
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+ - 1.0
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+ - 1.0
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+ FOCAL_LOSS_ALPHA: 0.25
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+ FOCAL_LOSS_GAMMA: 2.0
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+ IN_FEATURES:
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+ - p3
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+ - p4
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+ - p5
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+ - p6
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+ - p7
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+ IOU_LABELS:
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+ - 0
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+ - -1
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+ - 1
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+ IOU_THRESHOLDS:
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+ - 0.4
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+ - 0.5
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+ NMS_THRESH_TEST: 0.5
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+ NORM: ''
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+ NUM_CLASSES: 80
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+ NUM_CONVS: 4
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+ PRIOR_PROB: 0.01
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+ SCORE_THRESH_TEST: 0.05
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+ SMOOTH_L1_LOSS_BETA: 0.1
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+ TOPK_CANDIDATES_TEST: 1000
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+ ROI_BOX_CASCADE_HEAD:
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+ BBOX_REG_WEIGHTS:
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+ - &id001
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+ - 10.0
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+ - 10.0
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+ - 5.0
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+ - 5.0
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+ - - 20.0
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+ - 20.0
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+ - 10.0
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+ - 10.0
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+ - - 30.0
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+ - 30.0
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+ - 15.0
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+ - 15.0
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+ IOUS:
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+ - 0.5
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+ - 0.6
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+ - 0.7
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+ ROI_BOX_HEAD:
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+ BBOX_REG_LOSS_TYPE: smooth_l1
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+ BBOX_REG_LOSS_WEIGHT: 1.0
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+ BBOX_REG_WEIGHTS: *id001
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+ CLS_AGNOSTIC_BBOX_REG: false
239
+ CONV_DIM: 256
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+ FC_DIM: 1024
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+ FED_LOSS_FREQ_WEIGHT_POWER: 0.5
242
+ FED_LOSS_NUM_CLASSES: 50
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+ NAME: ''
244
+ NORM: ''
245
+ NUM_CONV: 0
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+ NUM_FC: 0
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+ POOLER_RESOLUTION: 14
248
+ POOLER_SAMPLING_RATIO: 0
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+ POOLER_TYPE: ROIAlignV2
250
+ SMOOTH_L1_BETA: 0.0
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+ TRAIN_ON_PRED_BOXES: false
252
+ USE_FED_LOSS: false
253
+ USE_SIGMOID_CE: false
254
+ ROI_HEADS:
255
+ BATCH_SIZE_PER_IMAGE: 512
256
+ IN_FEATURES:
257
+ - res4
258
+ IOU_LABELS:
259
+ - 0
260
+ - 1
261
+ IOU_THRESHOLDS:
262
+ - 0.5
263
+ NAME: Res5ROIHeads
264
+ NMS_THRESH_TEST: 0.5
265
+ NUM_CLASSES: 80
266
+ POSITIVE_FRACTION: 0.25
267
+ PROPOSAL_APPEND_GT: true
268
+ SCORE_THRESH_TEST: 0.05
269
+ ROI_KEYPOINT_HEAD:
270
+ CONV_DIMS:
271
+ - 512
272
+ - 512
273
+ - 512
274
+ - 512
275
+ - 512
276
+ - 512
277
+ - 512
278
+ - 512
279
+ LOSS_WEIGHT: 1.0
280
+ MIN_KEYPOINTS_PER_IMAGE: 1
281
+ NAME: KRCNNConvDeconvUpsampleHead
282
+ NORMALIZE_LOSS_BY_VISIBLE_KEYPOINTS: true
283
+ NUM_KEYPOINTS: 17
284
+ POOLER_RESOLUTION: 14
285
+ POOLER_SAMPLING_RATIO: 0
286
+ POOLER_TYPE: ROIAlignV2
287
+ ROI_MASK_HEAD:
288
+ CLS_AGNOSTIC_MASK: false
289
+ CONV_DIM: 256
290
+ NAME: MaskRCNNConvUpsampleHead
291
+ NORM: ''
292
+ NUM_CONV: 0
293
+ POOLER_RESOLUTION: 14
294
+ POOLER_SAMPLING_RATIO: 0
295
+ POOLER_TYPE: ROIAlignV2
296
+ RPN:
297
+ BATCH_SIZE_PER_IMAGE: 256
298
+ BBOX_REG_LOSS_TYPE: smooth_l1
299
+ BBOX_REG_LOSS_WEIGHT: 1.0
300
+ BBOX_REG_WEIGHTS: *id002
301
+ BOUNDARY_THRESH: -1
302
+ CONV_DIMS:
303
+ - -1
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+ HEAD_NAME: StandardRPNHead
305
+ IN_FEATURES:
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+ - res4
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+ IOU_LABELS:
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+ - 0
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+ - -1
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+ - 1
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+ IOU_THRESHOLDS:
312
+ - 0.3
313
+ - 0.7
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+ LOSS_WEIGHT: 1.0
315
+ NMS_THRESH: 0.7
316
+ POSITIVE_FRACTION: 0.5
317
+ POST_NMS_TOPK_TEST: 1000
318
+ POST_NMS_TOPK_TRAIN: 2000
319
+ PRE_NMS_TOPK_TEST: 6000
320
+ PRE_NMS_TOPK_TRAIN: 12000
321
+ SMOOTH_L1_BETA: 0.0
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+ SEM_SEG_HEAD:
323
+ ASPP_CHANNELS: 256
324
+ ASPP_DILATIONS:
325
+ - 6
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+ - 12
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+ - 18
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+ ASPP_DROPOUT: 0.1
329
+ COMMON_STRIDE: 4
330
+ CONVS_DIM: 256
331
+ DEFORMABLE_TRANSFORMER_ENCODER_IN_FEATURES:
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+ - res3
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+ - res4
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+ - res5
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+ DEFORMABLE_TRANSFORMER_ENCODER_N_HEADS: 8
336
+ DEFORMABLE_TRANSFORMER_ENCODER_N_POINTS: 4
337
+ IGNORE_VALUE: 255
338
+ IN_FEATURES:
339
+ - res2
340
+ - res3
341
+ - res4
342
+ - res5
343
+ LOSS_TYPE: hard_pixel_mining
344
+ LOSS_WEIGHT: 1.0
345
+ MASK_DIM: 256
346
+ NAME: MaskFormerHead
347
+ NORM: GN
348
+ NUM_CLASSES: 150
349
+ PIXEL_DECODER_NAME: MSDeformAttnPixelDecoder
350
+ PROJECT_CHANNELS:
351
+ - 48
352
+ PROJECT_FEATURES:
353
+ - res2
354
+ TRANSFORMER_ENC_LAYERS: 6
355
+ USE_DEPTHWISE_SEPARABLE_CONV: false
356
+ SWIN:
357
+ APE: false
358
+ ATTN_DROP_RATE: 0.0
359
+ DEPTHS:
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+ - 2
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+ - 2
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+ - 6
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+ - 2
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+ DROP_PATH_RATE: 0.3
365
+ DROP_RATE: 0.0
366
+ EMBED_DIM: 96
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+ MLP_RATIO: 4.0
368
+ NUM_HEADS:
369
+ - 3
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+ - 6
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+ - 12
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+ - 24
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+ OUT_FEATURES:
374
+ - res2
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+ - res3
376
+ - res4
377
+ - res5
378
+ PATCH_NORM: true
379
+ PATCH_SIZE: 4
380
+ PRETRAIN_IMG_SIZE: 224
381
+ QKV_BIAS: true
382
+ QK_SCALE: null
383
+ USE_CHECKPOINT: false
384
+ WINDOW_SIZE: 7
385
+ WEIGHTS: ./output/ps/100-10_fake1/step5/model_final.pth
386
+ OUTPUT_DIR: ./output/ps/100-10_fake1/step6
387
+ SEED: -1
388
+ SOLVER:
389
+ AMP:
390
+ ENABLED: true
391
+ BACKBONE_MULTIPLIER: 0.1
392
+ BASE_LR: 5.0e-05
393
+ BASE_LR_END: 0.0
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+ BIAS_LR_FACTOR: 1.0
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+ CHECKPOINT_PERIOD: 10000
396
+ CLIP_GRADIENTS:
397
+ CLIP_TYPE: full_model
398
+ CLIP_VALUE: 0.01
399
+ ENABLED: true
400
+ NORM_TYPE: 2.0
401
+ GAMMA: 0.1
402
+ IMS_PER_BATCH: 8
403
+ LR_SCHEDULER_NAME: WarmupMultiStepLR
404
+ MAX_ITER: 10000
405
+ MOMENTUM: 0.9
406
+ NESTEROV: false
407
+ NUM_DECAYS: 3
408
+ OPTIMIZER: ADAMW
409
+ POLY_LR_CONSTANT_ENDING: 0.0
410
+ POLY_LR_POWER: 0.9
411
+ REFERENCE_WORLD_SIZE: 0
412
+ RESCALE_INTERVAL: false
413
+ STEPS:
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+ - 8500
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+ - 9500
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+ WARMUP_FACTOR: 1.0
417
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+ WARMUP_METHOD: linear
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+ WEIGHT_DECAY_BIAS: null
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+ WEIGHT_DECAY_EMBED: 0.0
422
+ WEIGHT_DECAY_NORM: 0.0
423
+ TEST:
424
+ AUG:
425
+ ENABLED: false
426
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