object RoiImageInfo
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- val BBOXES: String
- val CLASSES: String
- val IMGINFO: String
- val ISCROWD: String
- val MASKS: String
- val ORIGSIZE: String
- val SCORES: String
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def
getBBoxes(tab: Table): Tensor[Float]
Get the bbox tensor from the table.
Get the bbox tensor from the table. See RoiLabel.bboxes
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def
getClass(): Class[_]
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def
getClasses(tab: Table): Tensor[Float]
Get the class label tensor from the table.
Get the class label tensor from the table. See RoiLabel.classes the categories for each detections (see RoiLabel.clasees field) (1 x N), or (2 x N) Tensor[Float]
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def
getImageInfo(tab: Table): Tensor[Float]
Get the isCrowd tensor from the table.
Get the isCrowd tensor from the table. Should be 1 x N vector (N is the # of detections)
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def
getIsCrowd(tab: Table): Tensor[Float]
Get the isCrowd tensor from the table.
Get the isCrowd tensor from the table. Should be 1 x N vector (N is the # of detections)
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def
getMasks(tab: Table): Array[RLEMasks]
Get the (optional) mask data from the table.
Get the (optional) mask data from the table. See RoiLabel.masks
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def
getOrigSize(tab: Table): (Int, Int, Int)
Get the size of the image before resizing
Get the size of the image before resizing
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(height, width, channel)
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def
getScores(tab: Table): Tensor[Float]
Get the output score tensor from the table.
Get the output score tensor from the table. (1 x N) tensor for N detections
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