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Commits on Mar 28, 2023

• Merge branch 'master' of https://github.com/SlinkoIgor/keras-YOLOv3-model-set into master

  SlinkoIgor

  committed
  fe3cd05

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• Fixed bug with uint8 overflow

  SlinkoIgor

  committed
  c6f4ef6

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Commits on Mar 23, 2023

• changes for tf2.1.0

  bobokvsky

  committed
  780860f

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Commits on Mar 17, 2023

• Fix

  SlinkoIgor

  committed
  ac8cda1

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• Fix

  SlinkoIgor

  committed
  c5da630

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• Better input scaling for uint8_mode

  SlinkoIgor

  committed
  d0251cc

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Commits on Mar 15, 2023

• Fix

  SlinkoIgor

  committed
  7f4830c

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• Added uint8_mode

  SlinkoIgor

  committed
  6c43a62

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Commits on Feb 7, 2023

• fix runtime issue

  david8862

  committed
  752a06c

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Commits on Jul 14, 2022

• refactor iou losses & add SIoU

  david8862

  committed
  a2ff812

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Commits on Jun 8, 2022

• minor update

  david8862

  committed
  6ae5cba

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Commits on Mar 16, 2022

• minor update

  david8862

  committed
  fa115b9

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Commits on Mar 10, 2022

• update some backbone params

  david8862

  committed
  f6e3fa6

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Commits on Mar 9, 2022

• add mobilevit imagenet pretrained weights

  david8862

  committed
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Commits on Feb 8, 2022

• fix inference error in eval.py

  david8862

  committed
  9ee01cf

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Commits on Jan 11, 2022

• minor update

  david8862

  committed
  e619e80

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Commits on Jan 5, 2022

• more imagenet training features

  david8862

  committed
  e9f0f94

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Commits on Jan 4, 2022

• update MobileViT model

  david8862

  committed
  525a379

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Commits on Jan 2, 2022

• add more augment in imagenet training

  david8862

  committed
  8a599b9

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• optimize imagenet training process

  david8862

  committed
  f8a0b22

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Commits on Jan 1, 2022

• draft of MobileViT support

  david8862

  committed
  0923acd

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Commits on Nov 11, 2021

• optimize image loading

  david8862

  committed
  14f318b

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Commits on Oct 17, 2021

• optimize box visualize

  david8862

  committed
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Commits on Oct 2, 2021

• parameter alignment cross projects

  david8862

  committed
  7b6b3c7

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Commits on Aug 10, 2021

• optimize train/inference logic for single class detection

  david8862

  committed
  8f75389

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Commits on Jul 7, 2021

• fix checkpoints clean issue

  david8862

  committed
  da43a98

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Commits on Jul 5, 2021

• add callback to auto clean checkpoints

  david8862

  committed
  65a2a79

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Commits on Jul 2, 2021

• fix runtime error

  david8862

  committed
  b40a617

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• add GhostNet models

  david8862

  committed
  40d9f8f

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Commits on Jun 30, 2021

• prepare GhostNet backbone

  david8862

  committed
  7327281

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Commits on Jun 23, 2021

• misc fixes

  david8862

  committed
  c15b8a2

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Commits on Jun 15, 2021

• remove multi_gpu_model in yolo.py

  david8862

  committed
  f88e0b1

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Commits on Jun 3, 2021

• function optimize

  david8862

  committed
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Commits on May 30, 2021

• add mosaic augment from YOLOv5

  david8862

  committed
  42622f7

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Commits on May 5, 2021

• add weights average policy support

  david8862

  committed
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