Class MultiBoxDetection
MultiBoxDetection
is the class that takes the output of a multi-box detection model, and
converts it into an NDList that contains the object detections.
The output from a Single Shot Detection(SSD) network would be class probabilities, box offset
predictions, and the generated anchor boxes. Once out-of-boundary boxes are eliminated, and boxes
with scores lower than the threshold are removed, we will ideally have a small number of
candidates for each object in the image. Since anchor boxes are generated in multiple scales
around each pixel by MultiBoxPrior
, there are bound to be multiple boxes around each
object which have a score greater than the threshold. We use Non-Maximum Suppression(NMS) to
choose one box that is most likely to fit the object in the image.
MultiBoxDetection
handles all of these tasks, and returns an NDList
with a
single NDArray
of Shape
(batch_size, Number
of generated anchor boxes, 6). For each generated anchor box, there is an NDArray
of Shape
(6,). The values in each of those
arrays represent the following: [class, score, x_min, y_min, x_max, y_max]
. The
class
is set to -1 for boxes that are removed or classified as background. The score
is
the confidence with which the model thinks the box contains an object of the specified
class
, and the other four values represent the normalised co-ordinates of the box.
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Nested Class Summary
Nested ClassesModifier and TypeClassDescriptionstatic final class
The Builder to construct aMultiBoxDetection
object. -
Constructor Summary
ConstructorsConstructorDescriptionCreates a new instance ofMultiBoxDetection
with the arguments from the givenMultiBoxDetection.Builder
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Method Summary
Modifier and TypeMethodDescriptionstatic MultiBoxDetection.Builder
builder()
Creates a builder to build aMultiBoxDetection
.Converts multi-box detection predictions.
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Constructor Details
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MultiBoxDetection
Creates a new instance ofMultiBoxDetection
with the arguments from the givenMultiBoxDetection.Builder
.- Parameters:
builder
- theMultiBoxDetection.Builder
with the necessary arguments
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Method Details
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detection
Converts multi-box detection predictions.- Parameters:
inputs
- a NDList of (class probabilities, box predictions, and anchors) in that order- Returns:
- an
NDList
with a singleNDArray
ofShape
(batch_size, Number of generated anchor boxes, 6). For each generated anchor box, there is anNDArray
ofShape
(6,). The values in each of those arrays represent the following:[class, score, x_min, y_min, x_max, y_max]
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builder
Creates a builder to build aMultiBoxDetection
.- Returns:
- a new builder
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