Release Notes

• 2021.04.15
  • Add MixNet and ReXNet pretrained models, MixNet_L's Top-1 Acc on ImageNet-1k reaches 78.6% and ReXNet_3_0 reaches 82.09%.
• 2021.01.27
  • Add ViT and DeiT pretrained models, ViT's Top-1 Acc on ImageNet reaches 81.05%, and DeiT reaches 85.5%.
• 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.