Satyajithchary commited on
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  1. maskformer2_R50_bs16_50ep.yaml +45 -0
maskformer2_R50_bs16_50ep.yaml ADDED
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+ _BASE_: Base-COCO-PanopticSegmentation.yaml
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+ MODEL:
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+ META_ARCHITECTURE: "MaskFormer"
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+ SEM_SEG_HEAD:
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+ NAME: "MaskFormerHead"
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+ IN_FEATURES: ["res2", "res3", "res4", "res5"]
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+ IGNORE_VALUE: 255
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+ NUM_CLASSES: 133
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+ LOSS_WEIGHT: 1.0
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+ CONVS_DIM: 256
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+ MASK_DIM: 256
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+ NORM: "GN"
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+ # pixel decoder
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+ PIXEL_DECODER_NAME: "MSDeformAttnPixelDecoder"
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+ IN_FEATURES: ["res2", "res3", "res4", "res5"]
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+ DEFORMABLE_TRANSFORMER_ENCODER_IN_FEATURES: ["res3", "res4", "res5"]
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+ COMMON_STRIDE: 4
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+ TRANSFORMER_ENC_LAYERS: 6
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+ MASK_FORMER:
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+ TRANSFORMER_DECODER_NAME: "MultiScaleMaskedTransformerDecoder"
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+ TRANSFORMER_IN_FEATURE: "multi_scale_pixel_decoder"
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+ DEEP_SUPERVISION: True
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+ NO_OBJECT_WEIGHT: 0.1
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+ CLASS_WEIGHT: 2.0
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+ MASK_WEIGHT: 5.0
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+ DICE_WEIGHT: 5.0
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+ HIDDEN_DIM: 256
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+ NUM_OBJECT_QUERIES: 100
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+ NHEADS: 8
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+ DROPOUT: 0.0
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+ DIM_FEEDFORWARD: 2048
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+ ENC_LAYERS: 0
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+ PRE_NORM: False
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+ ENFORCE_INPUT_PROJ: False
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+ SIZE_DIVISIBILITY: 32
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+ DEC_LAYERS: 10 # 9 decoder layers, add one for the loss on learnable query
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+ TRAIN_NUM_POINTS: 12544
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+ OVERSAMPLE_RATIO: 3.0
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+ IMPORTANCE_SAMPLE_RATIO: 0.75
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+ TEST:
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+ SEMANTIC_ON: True
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+ INSTANCE_ON: True
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+ PANOPTIC_ON: True
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+ OVERLAP_THRESHOLD: 0.8
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+ OBJECT_MASK_THRESHOLD: 0.8