Release Notes¶
2021.04.15
Add
MixNetandReXNetpretrained models,MixNet_L's Top-1 Acc on ImageNet-1k reaches 78.6% andReXNet_3_0reaches 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_ssldpretrained model, whose Top-1 Acc on ImageNet1k dataset reaches 84.75%.
2020.11.23
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GhostNet_x1_3_ssldpretrained model, whose Top-1 Acc on ImageNet1k dataset reaches 79.38%.
2020.11.09
Add
InceptionV3architecture and pretrained model, whose Top-1 Acc on ImageNet1k dataset reaches 79.1%.
2020.10.20
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Res2Net50_vd_26w_4s_ssldpretrained model, whose Top-1 Acc on ImageNet1k dataset reaches 83.1%.Add
Res2Net101_vd_26w_4s_ssldpretrained 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_ssldpretrained model, whose Top-1 Acc on ImageNet1k dataset reaches 83.62%.Add
ResNet34_vd_ssldpretrained model, whose Top-1 Acc on ImageNet1k dataset reaches 79.72%.
2020.09.07
Add
HRNet_W18_C_ssldpretrained model, whose Top-1 Acc on ImageNet1k dataset reaches 81.16%.Add
MobileNetV3_small_x0_35_ssldpretrained model, whose Top-1 Acc on ImageNet1k dataset reaches 55.55%.
2020.07.14
Add
Res2Net200_vd_26w_4s_ssldpretrained model, whose Top-1 Acc on ImageNet1k dataset reaches 85.13%.Add
Fix_ResNet50_vd_ssld_v2pretrained 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.