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Release Notes

  • 2021.01.08

    • Add support for whl package and its usage, Model inference can be done by simply install paddleclas using pip.
  • 2020.12.16

    • Add support for TensorRT when using cpp inference to obain more obvious acceleration.
  • 2020.12.06

    • Add SE_HRNet_W64_C_ssld pretrained model, whose Top-1 Acc on ImageNet1k dataset reaches 84.75%.
  • 2020.11.23

    • Add GhostNet_x1_3_ssld pretrained model, whose Top-1 Acc on ImageNet1k dataset reaches 79.38%.
  • 2020.11.09

    • Add InceptionV3 architecture and pretrained model, whose Top-1 Acc on ImageNet1k dataset reaches 79.1%.
  • 2020.10.20
    • Add Res2Net50_vd_26w_4s_ssld pretrained model, whose Top-1 Acc on ImageNet1k dataset reaches 83.1%.
    • Add Res2Net101_vd_26w_4s_ssld pretrained model, whose Top-1 Acc on ImageNet1k dataset reaches 83.9%.
  • 2020.10.12

    • Add Paddle-Lite demo.
  • 2020.10.10

    • Add cpp inference demo.
    • Improve FAQ tutorials.
  • 2020.09.17

    • Add HRNet_W48_C_ssld pretrained model, whose Top-1 Acc on ImageNet1k dataset reaches 83.62%.
    • Add ResNet34_vd_ssld pretrained model, whose Top-1 Acc on ImageNet1k dataset reaches 79.72%.
  • 2020.09.07

    • Add HRNet_W18_C_ssld pretrained model, whose Top-1 Acc on ImageNet1k dataset reaches 81.16%.
    • Add MobileNetV3_small_x0_35_ssld pretrained model, whose Top-1 Acc on ImageNet1k dataset reaches 55.55%.
  • 2020.07.14

    • Add Res2Net200_vd_26w_4s_ssld pretrained model, whose Top-1 Acc on ImageNet1k dataset reaches 85.13%.
    • Add Fix_ResNet50_vd_ssld_v2 pretrained model, whose Top-1 Acc on ImageNet1k dataset reaches 84.00%.
  • 2020.06.17

    • Add English documents.
  • 2020.06.12

    • Add support for training and evaluation on Windows or CPU.
  • 2020.05.17

    • Add support for mixed precision training.
  • 2020.05.09

    • Add user guide about Paddle Serving and Paddle-Lite.
    • Add benchmark about FP16/FP32 on T4 GPU.
  • 2020.04.14

    • First commit.