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yolov3-tiny implementation#87

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andrewfurey21 wants to merge 25 commits intomlpack:mastermlpack/models:masterfrom andrewfurey21:masterandrewfurey21/mlpack-models:masterCopy head branch name to clipboard

+550-1

Commits

Commits on Jul 1, 2024

• started fleshing out yolov3-tiny

  andrewfurey21

  committed
  efaf98e

Commits on Jul 4, 2024

• added mask and anchors, updated maxpool block

  andrewfurey21

  committed
  d8f90e6

Commits on Jul 7, 2024

• layer and loss headers

  andrewfurey21

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  972ea62

• fixed pooling layer

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  9e4d14c

• conv block, yolo loss formula

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  c0a88ef

• return layers instead

  andrewfurey21

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  78133a7

• added loss and updated pooling block

  andrewfurey21

  committed
  55fadee

Commits on Jul 8, 2024

• all layers

  andrewfurey21

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  548f365

Commits on Jul 9, 2024

• updated forward pass of yolov3 layer

  andrewfurey21

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  4e84ac4

Commits on Jul 17, 2024

• normalize

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  c34f308

• use heightChannel variable

  andrewfurey21

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  39b38f0

• Merge commit 'c34f308b50048097723ac4111e61659c52369429'

  andrewfurey21

  committed
  9ff9816

Commits on Jul 29, 2024

• correct dimensions for large object detections model

  andrewfurey21

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  df617e3

• correct output dims for small object detections model

  andrewfurey21

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  ee7ef21

Commits on Aug 13, 2024

• use multilayer instead of ffn

  andrewfurey21

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  2aeb78c

Commits on Aug 14, 2024

• upsampled model using multilayer instead of ffn

  andrewfurey21

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  b7994c4

• updated upsampled multilayer

  andrewfurey21

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  c653ee4

• upsampled multilayer input dimensions

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  3d138a3

Commits on Aug 21, 2024

• updated yolo layer

  andrewfurey21

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  c1838cf

• removed Gradient method since this layer has no weights

  andrewfurey21

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  0a9ff95

Commits on Aug 22, 2024

• dont need anchors, mask and classes inside yolo layer

  andrewfurey21

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  6d6b430

Commits on Aug 23, 2024

• corrected small object detection ffn

  andrewfurey21

  committed
  0f991dc

Commits on Aug 25, 2024

• forward yolo loss

  andrewfurey21

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  09dbbc1

• correct loss function width and height

  andrewfurey21

  committed
  8822d59

• width and height are params for loss

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  committed
  4667a38