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[Benchmark] Add more PaddleClas models to benchmark (#1629)
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* 添加paddleclas模型

* 更新README_CN

* 更新README_CN

* 更新README

* update get_model.sh

* update get_models.sh

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Co-authored-by: DefTruth <[email protected]>
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@linyangshi @DefTruth
linyangshi and DefTruth authored Mar 16, 2023
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22 changes: 21 additions & 1 deletion benchmark/cpp/benchmark_gpu.sh
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Expand Up @@ -31,13 +31,33 @@ fi
# PaddleClas
./benchmark_ppcls --model PPLCNet_x1_0_infer --image ILSVRC2012_val_00000010.jpeg --config_path $CONFIG_PATH
./benchmark_ppcls --model PPLCNetV2_base_infer --image ILSVRC2012_val_00000010.jpeg --config_path $CONFIG_PATH
./benchmark_ppcls --model EfficientNetB7_infer --image ILSVRC2012_val_00000010.jpeg --config_path $CONFIG_PATH
./benchmark_ppcls --model EfficientNetB0_small_infer --image ILSVRC2012_val_00000010.jpeg --config_path $CONFIG_PATH
./benchmark_ppcls --model GhostNet_x0_5_infer --image ILSVRC2012_val_00000010.jpeg --config_path $CONFIG_PATH
./benchmark_ppcls --model GhostNet_x1_3_infer --image ILSVRC2012_val_00000010.jpeg --config_path $CONFIG_PATH
./benchmark_ppcls --model GhostNet_x1_3_ssld_infer --image ILSVRC2012_val_00000010.jpeg --config_path $CONFIG_PATH
./benchmark_ppcls --model MobileNetV1_x0_25_infer --image ILSVRC2012_val_00000010.jpeg --config_path $CONFIG_PATH
./benchmark_ppcls --model MobileNetV1_ssld_infer --image ILSVRC2012_val_00000010.jpeg --config_path $CONFIG_PATH
./benchmark_ppcls --model MobileNetV2_x0_25_infer --image ILSVRC2012_val_00000010.jpeg --config_path $CONFIG_PATH
./benchmark_ppcls --model MobileNetV2_ssld_infer --image ILSVRC2012_val_00000010.jpeg --config_path $CONFIG_PATH
./benchmark_ppcls --model MobileNetV3_small_x0_35_ssld_infer --image ILSVRC2012_val_00000010.jpeg --config_path $CONFIG_PATH
./benchmark_ppcls --model MobileNetV3_large_x1_0_ssld_infer --image ILSVRC2012_val_00000010.jpeg --config_path $CONFIG_PATH
./benchmark_ppcls --model ShuffleNetV2_x0_25_infer --image ILSVRC2012_val_00000010.jpeg --config_path $CONFIG_PATH
./benchmark_ppcls --model ShuffleNetV2_x2_0_infer --image ILSVRC2012_val_00000010.jpeg --config_path $CONFIG_PATH
./benchmark_ppcls --model SqueezeNet1_1_infer --image ILSVRC2012_val_00000010.jpeg --config_path $CONFIG_PATH
./benchmark_ppcls --model InceptionV3_infer --image ILSVRC2012_val_00000010.jpeg --config_path $CONFIG_PATH
./benchmark_ppcls --model ResNet50_vd_infer --image ILSVRC2012_val_00000010.jpeg --config_path $CONFIG_PATH
./benchmark_ppcls --model EfficientNetB0_small_infer --image ILSVRC2012_val_00000010.jpeg --config_path $CONFIG_PATH
./benchmark_ppcls --model PPHGNet_tiny_ssld_infer --image ILSVRC2012_val_00000010.jpeg --config_path $CONFIG_PATH
./benchmark_ppcls --model PPHGNet_base_ssld_infer --image ILSVRC2012_val_00000010.jpeg --config_path $CONFIG_PATH
./benchmark_ppcls --model ResNet50_infer --image ILSVRC2012_val_00000010.jpeg --config_path $CONFIG_PATH
./benchmark_ppcls --model EfficientNetB0_infer --image ILSVRC2012_val_00000010.jpeg --config_path $CONFIG_PATH
./benchmark_ppcls --model MobileNetV2_infer --image ILSVRC2012_val_00000010.jpeg --config_path $CONFIG_PATH
./benchmark_ppcls --model MobileNetV3_small_x1_0_infer --image ILSVRC2012_val_00000010.jpeg --config_path $CONFIG_PATH
./benchmark_ppcls --model ViT_large_patch16_224_infer --image ILSVRC2012_val_00000010.jpeg --config_path $CONFIG_PATH
./benchmark_ppcls --model ResNeXt50_32x4d_infer --image ILSVRC2012_val_00000010.jpeg --config_path $CONFIG_PATH
./benchmark_ppcls --model DenseNet121_infer --image ILSVRC2012_val_00000010.jpeg --config_path $CONFIG_PATH
./benchmark_ppcls --model PPHGNet_small_infer --image ILSVRC2012_val_00000010.jpeg --config_path $CONFIG_PATH
./benchmark_ppcls --model person_exists_infer --image ILSVRC2012_val_00000010.jpeg --config_path $CONFIG_PATH

# PaddleOCR
./benchmark_ppocr_det --model ch_PP-OCRv3_det_infer --image 12.jpg --config_path $CONFIG_PATH
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23 changes: 22 additions & 1 deletion benchmark/cpp/benchmark_x86.sh
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Expand Up @@ -31,13 +31,34 @@ fi
# PaddleClas
./benchmark_ppcls --model PPLCNet_x1_0_infer --image ILSVRC2012_val_00000010.jpeg --config_path $CONFIG_PATH
./benchmark_ppcls --model PPLCNetV2_base_infer --image ILSVRC2012_val_00000010.jpeg --config_path $CONFIG_PATH
./benchmark_ppcls --model EfficientNetB7_infer --image ILSVRC2012_val_00000010.jpeg --config_path $CONFIG_PATH
./benchmark_ppcls --model EfficientNetB0_small_infer --image ILSVRC2012_val_00000010.jpeg --config_path $CONFIG_PATH
./benchmark_ppcls --model GhostNet_x0_5_infer --image ILSVRC2012_val_00000010.jpeg --config_path $CONFIG_PATH
./benchmark_ppcls --model GhostNet_x1_3_infer --image ILSVRC2012_val_00000010.jpeg --config_path $CONFIG_PATH
./benchmark_ppcls --model GhostNet_x1_3_ssld_infer --image ILSVRC2012_val_00000010.jpeg --config_path $CONFIG_PATH
./benchmark_ppcls --model MobileNetV1_x0_25_infer --image ILSVRC2012_val_00000010.jpeg --config_path $CONFIG_PATH
./benchmark_ppcls --model MobileNetV1_ssld_infer --image ILSVRC2012_val_00000010.jpeg --config_path $CONFIG_PATH
./benchmark_ppcls --model MobileNetV2_x0_25_infer --image ILSVRC2012_val_00000010.jpeg --config_path $CONFIG_PATH
./benchmark_ppcls --model MobileNetV2_ssld_infer --image ILSVRC2012_val_00000010.jpeg --config_path $CONFIG_PATH
./benchmark_ppcls --model MobileNetV3_small_x0_35_ssld_infer --image ILSVRC2012_val_00000010.jpeg --config_path $CONFIG_PATH
./benchmark_ppcls --model MobileNetV3_large_x1_0_ssld_infer --image ILSVRC2012_val_00000010.jpeg --config_path $CONFIG_PATH
./benchmark_ppcls --model ShuffleNetV2_x0_25_infer --image ILSVRC2012_val_00000010.jpeg --config_path $CONFIG_PATH
./benchmark_ppcls --model ShuffleNetV2_x2_0_infer --image ILSVRC2012_val_00000010.jpeg --config_path $CONFIG_PATH
./benchmark_ppcls --model SqueezeNet1_1_infer --image ILSVRC2012_val_00000010.jpeg --config_path $CONFIG_PATH
./benchmark_ppcls --model InceptionV3_infer --image ILSVRC2012_val_00000010.jpeg --config_path $CONFIG_PATH
./benchmark_ppcls --model ResNet50_vd_infer --image ILSVRC2012_val_00000010.jpeg --config_path $CONFIG_PATH
./benchmark_ppcls --model EfficientNetB0_small_infer --image ILSVRC2012_val_00000010.jpeg --config_path $CONFIG_PATH
./benchmark_ppcls --model PPHGNet_tiny_ssld_infer --image ILSVRC2012_val_00000010.jpeg --config_path $CONFIG_PATH
./benchmark_ppcls --model PPHGNet_base_ssld_infer --image ILSVRC2012_val_00000010.jpeg --config_path $CONFIG_PATH
./benchmark_ppcls --model ResNet50_infer --image ILSVRC2012_val_00000010.jpeg --config_path $CONFIG_PATH
./benchmark_ppcls --model EfficientNetB0_infer --image ILSVRC2012_val_00000010.jpeg --config_path $CONFIG_PATH
./benchmark_ppcls --model MobileNetV2_infer --image ILSVRC2012_val_00000010.jpeg --config_path $CONFIG_PATH
./benchmark_ppcls --model MobileNetV3_small_x1_0_infer --image ILSVRC2012_val_00000010.jpeg --config_path $CONFIG_PATH
./benchmark_ppcls --model ViT_large_patch16_224_infer --image ILSVRC2012_val_00000010.jpeg --config_path $CONFIG_PATH
./benchmark_ppcls --model ResNeXt50_32x4d_infer --image ILSVRC2012_val_00000010.jpeg --config_path $CONFIG_PATH
./benchmark_ppcls --model DenseNet121_infer --image ILSVRC2012_val_00000010.jpeg --config_path $CONFIG_PATH
./benchmark_ppcls --model PPHGNet_small_infer --image ILSVRC2012_val_00000010.jpeg --config_path $CONFIG_PATH
./benchmark_ppcls --model person_exists_infer --image ILSVRC2012_val_00000010.jpeg --config_path $CONFIG_PATH


# PaddleOCR
./benchmark_ppocr_det --model ch_PP-OCRv3_det_infer --image 12.jpg --config_path $CONFIG_PATH
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22 changes: 21 additions & 1 deletion benchmark/cpp/get_models.sh
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Expand Up @@ -63,13 +63,33 @@ download_fd_model_zxvf yolov8_s_500e_coco_no_nms.tgz
# PaddleClas
download_fd_model_zxvf PPLCNet_x1_0_infer.tgz
download_fd_model_zxvf PPLCNetV2_base_infer.tgz
download_fd_model_zxvf EfficientNetB7_infer.tgz
download_fd_model_zxvf GhostNet_x0_5_infer.tgz
download_fd_model_zxvf GhostNet_x1_3_infer.tgz
download_fd_model_zxvf GhostNet_x1_3_ssld_infer.tgz
download_fd_model_zxvf MobileNetV1_x0_25_infer.tgz
download_fd_model_zxvf MobileNetV1_ssld_infer.tgz
download_fd_model_zxvf MobileNetV2_x0_25_infer.tgz
download_fd_model_zxvf MobileNetV2_ssld_infer.tgz
download_fd_model_zxvf MobileNetV3_small_x0_35_ssld_infer.tgz
download_fd_model_zxvf MobileNetV3_large_x1_0_ssld_infer.tgz
download_fd_model_zxvf ShuffleNetV2_x0_25_infer.tgz
download_fd_model_zxvf ShuffleNetV2_x2_0_infer.tgz
download_fd_model_zxvf SqueezeNet1_1_infer.tgz
download_fd_model_zxvf InceptionV3_infer.tgz
download_fd_model_zxvf ResNet50_vd_infer.tgz
download_fd_model_zxvf EfficientNetB0_small_infer.tgz
download_fd_model_zxvf ResNet50_infer.tgz
download_fd_model_zxvf PPHGNet_tiny_ssld_infer.tgz
download_fd_model_zxvf PPHGNet_base_ssld_infer.tgz
download_fd_model_zxvf EfficientNetB0_infer.tgz
download_fd_model_zxvf MobileNetV2_infer.tgz
download_fd_model_zxvf MobileNetV3_small_x1_0_infer.tgz
download_fd_model_zxvf ViT_large_patch16_224_infer.tgz
download_fd_model_zxvf ResNeXt50_32x4d_infer.tgz
download_fd_model_zxvf DenseNet121_infer.tgz
download_fd_model_zxvf PPHGNet_small_infer.tgz
download_fd_model_zxvf person_exists_infer.tgz
download_fd_model_zxvf EfficientNetB0_small_infer.tgz
# PaddleSeg
download_fd_model_zxvf PP_LiteSeg_B_STDC2_cityscapes_with_argmax_infer.tgz
download_fd_model_zxvf PP_HumanSegV1_Lite_infer.tgz
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14 changes: 12 additions & 2 deletions examples/vision/classification/paddleclas/README.md
100644 → 100755
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Expand Up @@ -35,22 +35,32 @@ For developers' testing, some models exported by PaddleClas (including the infer
| [PPLCNet_x1_0](https://bj.bcebos.com/paddlehub/fastdeploy/PPLCNet_x1_0_infer.tgz) | 12MB | 224x224 |71.32% | 90.03% |
| [PPLCNetV2_base](https://bj.bcebos.com/paddlehub/fastdeploy/PPLCNetV2_base_infer.tgz) | 26MB | 224x224 |77.04% | 93.27% |
| [EfficientNetB7](https://bj.bcebos.com/paddlehub/fastdeploy/EfficientNetB7_infer.tgz) | 255MB | 600x600 | 84.3% | 96.9% |
| [EfficientNetB0_small](https://bj.bcebos.com/paddlehub/fastdeploy/EfficientNetB0_small_infer.tgz)| 18MB | 224x224 | 75.8% | 75.8% |
| [GhostNet_x1_3_ssld](https://bj.bcebos.com/paddlehub/fastdeploy/GhostNet_x1_3_ssld_infer.tgz) | 29MB | 224x224 | 75.7% | 92.5% |
| [EfficientNetB0](https://bj.bcebos.com/paddlehub/fastdeploy/EfficientNetB0_infer.tgz)| 19MB | 224x224 | 77.38% | 93.31% |
| [EfficientNetB0_small](https://bj.bcebos.com/paddlehub/fastdeploy/EfficientNetB0_small_infer.tgz)| 18MB | 224x224 | 75.8% | 92.58% |
| [GhostNet_x1_3](https://bj.bcebos.com/paddlehub/fastdeploy/GhostNet_x1_3_infer.tgz) | 27MB | 224x224 | 75.79% | 92.54% |
| [GhostNet_x1_3_ssld](https://bj.bcebos.com/paddlehub/fastdeploy/GhostNet_x1_3_ssld_infer.tgz) | 29MB | 224x224 | 79.3% | 94.49% |
| [GhostNet_x0_5](https://bj.bcebos.com/paddlehub/fastdeploy/GhostNet_x0_5_infer.tgz) | 10MB | 224x224 | 66.8% | 86.9% |
| [MobileNetV1_x0_25](https://bj.bcebos.com/paddlehub/fastdeploy/MobileNetV1_x0_25_infer.tgz) | 1.9MB | 224x224 | 51.4% | 75.5% |
| [MobileNetV1_ssld](https://bj.bcebos.com/paddlehub/fastdeploy/MobileNetV1_ssld_infer.tgz) | 17MB | 224x224 | 77.9% | 93.9% |
| [MobileNetV2_x0_25](https://bj.bcebos.com/paddlehub/fastdeploy/MobileNetV2_x0_25_infer.tgz) | 5.9MB | 224x224 | 53.2% | 76.5% |
| [MobileNetV2](https://bj.bcebos.com/paddlehub/fastdeploy/MobileNetV2_infer.tgz) | 13MB | 224x224 | 72.15% | 90.65% |
| [MobileNetV2_ssld](https://bj.bcebos.com/paddlehub/fastdeploy/MobileNetV2_ssld_infer.tgz) | 14MB | 224x224 | 76.74% | 93.39% |
| [MobileNetV3_small_x1_0](https://bj.bcebos.com/paddlehub/fastdeploy/MobileNetV3_small_x1_0_infer.tgz) | 11MB | 224x224 | 68.24% | 88.06% |
| [MobileNetV3_small_x0_35_ssld](https://bj.bcebos.com/paddlehub/fastdeploy/MobileNetV3_small_x0_35_ssld_infer.tgz) | 6.4MB | 224x224 | 55.55% | 77.71% |
| [MobileNetV3_large_x1_0_ssld](https://bj.bcebos.com/paddlehub/fastdeploy/MobileNetV3_large_x1_0_ssld_infer.tgz) | 22MB | 224x224 | 78.96% | 94.48% |
| [ShuffleNetV2_x0_25](https://bj.bcebos.com/paddlehub/fastdeploy/ShuffleNetV2_x0_25_infer.tgz) | 2.4MB | 224x224 | 49.9% | 73.79% |
| [ShuffleNetV2_x2_0](https://bj.bcebos.com/paddlehub/fastdeploy/ShuffleNetV2_x2_0_infer.tgz) | 29MB | 224x224 | 73.15% | 91.2% |
| [SqueezeNet1_1](https://bj.bcebos.com/paddlehub/fastdeploy/SqueezeNet1_1_infer.tgz) | 4.8MB | 224x224 | 60.1% | 81.9% |
| [InceptionV3](https://bj.bcebos.com/paddlehub/fastdeploy/InceptionV3_infer.tgz) | 92MB | 299x299 | 79.14% | 94.59% |
| [PPHGNet_tiny_ssld](https://bj.bcebos.com/paddlehub/fastdeploy/PPHGNet_tiny_ssld_infer.tgz) | 57MB | 224x224 | 81.95% | 96.12% |
| [PPHGNet_small](https://bj.bcebos.com/paddlehub/fastdeploy/PPHGNet_small_infer.tgz) | 87MB | 224x224 | 81.51% | 95.82% |
| [PPHGNet_base_ssld](https://bj.bcebos.com/paddlehub/fastdeploy/PPHGNet_base_ssld_infer.tgz) | 274MB | 224x224 | 85.0% | 97.35% |
| [ResNet50_vd](https://bj.bcebos.com/paddlehub/fastdeploy/ResNet50_vd_infer.tgz) | 98MB | 224x224 | 79.12% | 94.44% |
| [ResNet50](https://bj.bcebos.com/paddlehub/fastdeploy/ResNet50_infer.tgz) | 91MB | 224x224 | 76.5% | 93% |
| [ResNeXt50_32x4d](https://bj.bcebos.com/paddlehub/fastdeploy/ResNeXt50_32x4d_infer.tgz) | 89MB | 224x224 | 77.75% | 93.82% |
| [DenseNet121](https://bj.bcebos.com/paddlehub/fastdeploy/DenseNet121_infer.tgz) | 29MB | 224x224 | 75.66% | 92.58% |
| [PULC_person_exists](https://bj.bcebos.com/paddlehub/fastdeploy/person_exists_infer.tgz) | 6MB | 224x224 | | |
| [ViT_large_patch16_224](https://bj.bcebos.com/paddlehub/fastdeploy/ViT_large_patch16_224_infer.tgz) | 1.1GB | 224x224 | 83.23% | 96.50%|

## Detailed Deployment Documents

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15 changes: 13 additions & 2 deletions examples/vision/classification/paddleclas/README_CN.md
100644 → 100755
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Expand Up @@ -34,22 +34,33 @@ PaddleClas模型导出，请参考其文档说明[模型导出](https://github.c
| [PPLCNet_x1_0](https://bj.bcebos.com/paddlehub/fastdeploy/PPLCNet_x1_0_infer.tgz) | 12MB | 224x224 |71.32% | 90.03% |
| [PPLCNetV2_base](https://bj.bcebos.com/paddlehub/fastdeploy/PPLCNetV2_base_infer.tgz) | 26MB | 224x224 |77.04% | 93.27% |
| [EfficientNetB7](https://bj.bcebos.com/paddlehub/fastdeploy/EfficientNetB7_infer.tgz) | 255MB | 600x600 | 84.3% | 96.9% |
| [EfficientNetB0_small](https://bj.bcebos.com/paddlehub/fastdeploy/EfficientNetB0_small_infer.tgz)| 18MB | 224x224 | 75.8% | 75.8% |
| [GhostNet_x1_3_ssld](https://bj.bcebos.com/paddlehub/fastdeploy/GhostNet_x1_3_ssld_infer.tgz) | 29MB | 224x224 | 75.7% | 92.5% |
| [EfficientNetB0](https://bj.bcebos.com/paddlehub/fastdeploy/EfficientNetB0_infer.tgz)| 19MB | 224x224 | 77.38% | 93.31% |
| [EfficientNetB0_small](https://bj.bcebos.com/paddlehub/fastdeploy/EfficientNetB0_small_infer.tgz)| 18MB | 224x224 | 75.8% | 92.58% |
| [GhostNet_x1_3](https://bj.bcebos.com/paddlehub/fastdeploy/GhostNet_x1_3_infer.tgz) | 27MB | 224x224 | 75.79% | 92.54% |
| [GhostNet_x1_3_ssld](https://bj.bcebos.com/paddlehub/fastdeploy/GhostNet_x1_3_ssld_infer.tgz) | 29MB | 224x224 | 79.3% | 94.49% |
| [GhostNet_x0_5](https://bj.bcebos.com/paddlehub/fastdeploy/GhostNet_x0_5_infer.tgz) | 10MB | 224x224 | 66.8% | 86.9% |
| [MobileNetV1_x0_25](https://bj.bcebos.com/paddlehub/fastdeploy/MobileNetV1_x0_25_infer.tgz) | 1.9MB | 224x224 | 51.4% | 75.5% |
| [MobileNetV1_ssld](https://bj.bcebos.com/paddlehub/fastdeploy/MobileNetV1_ssld_infer.tgz) | 17MB | 224x224 | 77.9% | 93.9% |
| [MobileNetV2_x0_25](https://bj.bcebos.com/paddlehub/fastdeploy/MobileNetV2_x0_25_infer.tgz) | 5.9MB | 224x224 | 53.2% | 76.5% |
| [MobileNetV2](https://bj.bcebos.com/paddlehub/fastdeploy/MobileNetV2_infer.tgz) | 13MB | 224x224 | 72.15% | 90.65% |
| [MobileNetV2_ssld](https://bj.bcebos.com/paddlehub/fastdeploy/MobileNetV2_ssld_infer.tgz) | 14MB | 224x224 | 76.74% | 93.39% |
| [MobileNetV3_small_x1_0](https://bj.bcebos.com/paddlehub/fastdeploy/MobileNetV3_small_x1_0_infer.tgz) | 11MB | 224x224 | 68.24% | 88.06% |
| [MobileNetV3_small_x0_35_ssld](https://bj.bcebos.com/paddlehub/fastdeploy/MobileNetV3_small_x0_35_ssld_infer.tgz) | 6.4MB | 224x224 | 55.55% | 77.71% |
| [MobileNetV3_large_x1_0_ssld](https://bj.bcebos.com/paddlehub/fastdeploy/MobileNetV3_large_x1_0_ssld_infer.tgz) | 22MB | 224x224 | 78.96% | 94.48% |
| [ShuffleNetV2_x0_25](https://bj.bcebos.com/paddlehub/fastdeploy/ShuffleNetV2_x0_25_infer.tgz) | 2.4MB | 224x224 | 49.9% | 73.79% |
| [ShuffleNetV2_x2_0](https://bj.bcebos.com/paddlehub/fastdeploy/ShuffleNetV2_x2_0_infer.tgz) | 29MB | 224x224 | 73.15% | 91.2% |
| [SqueezeNet1_1](https://bj.bcebos.com/paddlehub/fastdeploy/SqueezeNet1_1_infer.tgz) | 4.8MB | 224x224 | 60.1% | 81.9% |
| [InceptionV3](https://bj.bcebos.com/paddlehub/fastdeploy/InceptionV3_infer.tgz) | 92MB | 299x299 | 79.14% | 94.59% |
| [PPHGNet_tiny_ssld](https://bj.bcebos.com/paddlehub/fastdeploy/PPHGNet_tiny_ssld_infer.tgz) | 57MB | 224x224 | 81.95% | 96.12% |
| [PPHGNet_small](https://bj.bcebos.com/paddlehub/fastdeploy/PPHGNet_small_infer.tgz) | 87MB | 224x224 | 81.51% | 95.82% |
| [PPHGNet_base_ssld](https://bj.bcebos.com/paddlehub/fastdeploy/PPHGNet_base_ssld_infer.tgz) | 274MB | 224x224 | 85.0% | 97.35% |
| [ResNet50_vd](https://bj.bcebos.com/paddlehub/fastdeploy/ResNet50_vd_infer.tgz) | 98MB | 224x224 | 79.12% | 94.44% |
| [ResNet50](https://bj.bcebos.com/paddlehub/fastdeploy/ResNet50_infer.tgz) | 91MB | 224x224 | 76.5% | 93% |
| [ResNeXt50_32x4d](https://bj.bcebos.com/paddlehub/fastdeploy/ResNeXt50_32x4d_infer.tgz) | 89MB | 224x224 | 77.75% | 93.82% |
| [DenseNet121](https://bj.bcebos.com/paddlehub/fastdeploy/DenseNet121_infer.tgz) | 29MB | 224x224 | 75.66% | 92.58% |
| [PULC_person_exists](https://bj.bcebos.com/paddlehub/fastdeploy/person_exists_infer.tgz) | 6MB | 224x224 | | |
| [ViT_large_patch16_224](https://bj.bcebos.com/paddlehub/fastdeploy/ViT_large_patch16_224_infer.tgz) | 1.1GB | 224x224 | 83.23% | 96.50%|


## 详细部署文档

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