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configs/openseed/openseed_focalt_lang.yaml

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@@ -209,11 +209,8 @@ INPUT:
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DATASETS:
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TRAIN: ["coco_2017_train_panoptic",]
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# open vocabulary segmentation evaluation.
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TEST: ["coco_2017_val_panoptic_with_sem_seg"]
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# TEST: ["ade20k_panoptic_val", "ade20k_full_sem_seg_val", "sunrgbd_37_val_seg", "scannet_21_val_seg", "scannet_21_panoptic_val", "scannet_41_val_seg", "cityscapes_fine_panoptic_val", "cityscapes_fine_instance_seg_val", "cityscapes_fine_sem_seg_val", "bdd10k_val_sem_seg", "bdd10k_40_panoptic_val"]
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# Supervised metrics evaluation.
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# TEST: ["vlp_captioning_val", "refcocog_val_umd", "vlp_val"]
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CLASS_CONCAT: false
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SIZE_DIVISIBILITY: 32
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PROPOSAL_FILES_TRAIN: []

configs/openseed/openseed_swint_lang.yaml

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@@ -224,10 +224,8 @@ INPUT:
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PIXEL_STD: [58.395, 57.120, 57.375]
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DATASETS:
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TRAIN: ["coco_2017_train_panoptic", "ade20k_panoptic_train"]
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# open vocabulary segmentation evaluation.
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TRAIN: ["coco_2017_train_panoptic"]
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TEST: ["coco_2017_val_panoptic_with_sem_seg"]
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# TEST: ["ade20k_panoptic_val", "ade20k_full_sem_seg_val", "sunrgbd_37_val_seg", "scannet_21_val_seg", "scannet_21_panoptic_val", "scannet_41_val_seg", "cityscapes_fine_panoptic_val", "cityscapes_fine_instance_seg_val", "cityscapes_fine_sem_seg_val", "bdd10k_val_sem_seg", "bdd10k_40_panoptic_val"]
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CLASS_CONCAT: false
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SIZE_DIVISIBILITY: 32
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PROPOSAL_FILES_TRAIN: []
@@ -314,27 +312,6 @@ ADE20K:
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LOAD_PROPOSALS: False
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SAMPLER_TRAIN: "TrainingSampler"
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ASPECT_RATIO_GROUPING: True
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#ADE20K:
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# INPUT:
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# MIN_SIZE_TRAIN: 640
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# MIN_SIZE_TRAIN_SAMPLING: "choice"
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# MIN_SIZE_TEST: 640
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# MAX_SIZE_TRAIN: 2560
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# MAX_SIZE_TEST: 2560
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# MASK_FORMAT: "polygon"
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# CROP:
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# ENABLED: True
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# TYPE: "absolute"
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# SIZE: (640, 640)
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# SINGLE_CATEGORY_MAX_AREA: 1.0
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# COLOR_AUG_SSD: True
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# SIZE_DIVISIBILITY: 640 # used in dataset mapper
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# DATASET_MAPPER_NAME: "mask_former_panoptic"
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# FORMAT: "RGB"
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# DATASET:
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# DATASET: 'ade'
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# TEST:
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# BATCH_SIZE_TOTAL: 8
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REF:

configs/openseed/openseed_swint_lang_o365.yaml

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@@ -224,10 +224,8 @@ INPUT:
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PIXEL_STD: [58.395, 57.120, 57.375]
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DATASETS:
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TRAIN: ["coco_2017_train_panoptic", "object365_val_od"]
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# open vocabulary segmentation evaluation.
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TRAIN: ["coco_2017_train_panoptic", "object365_train_od"]
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TEST: ["coco_2017_val_panoptic_with_sem_seg", "object365_val_od"]
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# TEST: ["ade20k_panoptic_val", "ade20k_full_sem_seg_val", "sunrgbd_37_val_seg", "scannet_21_val_seg", "scannet_21_panoptic_val", "scannet_41_val_seg", "cityscapes_fine_panoptic_val", "cityscapes_fine_instance_seg_val", "cityscapes_fine_sem_seg_val", "bdd10k_val_sem_seg", "bdd10k_40_panoptic_val"]
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CLASS_CONCAT: false
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SIZE_DIVISIBILITY: 32
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PROPOSAL_FILES_TRAIN: []

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