PaddleX/paddlex/modules/image_classification/model_list.py

# copyright (c) 2024 PaddlePaddle Authors. All Rights Reserve.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#    http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

MODELS = [
    "CLIP_vit_base_patch16_224",
    "CLIP_vit_large_patch14_224",
    "ConvNeXt_tiny",
    "ConvNeXt_small",
    "ConvNeXt_base_224",
    "ConvNeXt_base_384",
    "ConvNeXt_large_224",
    "ConvNeXt_large_384",
    "MobileNetV1_x0_25",
    "MobileNetV1_x0_5",
    "MobileNetV1_x0_75",
    "MobileNetV1_x1_0",
    "MobileNetV2_x0_25",
    "MobileNetV2_x0_5",
    "MobileNetV2_x1_0",
    "MobileNetV2_x1_5",
    "MobileNetV2_x2_0",
    "MobileNetV3_large_x0_35",
    "MobileNetV3_large_x0_5",
    "MobileNetV3_large_x0_75",
    "MobileNetV3_large_x1_0",
    "MobileNetV3_large_x1_25",
    "MobileNetV3_small_x0_35",
    "MobileNetV3_small_x0_5",
    "MobileNetV3_small_x0_75",
    "MobileNetV3_small_x1_0",
    "MobileNetV3_small_x1_25",
    "PP-HGNet_tiny",
    "PP-HGNet_small",
    "PP-HGNet_base",
    "PP-HGNetV2-B0",
    "PP-HGNetV2-B1",
    "PP-HGNetV2-B2",
    "PP-HGNetV2-B3",
    "PP-HGNetV2-B4",
    "PP-HGNetV2-B5",
    "PP-HGNetV2-B6",
    "PP-LCNet_x0_25",
    "PP-LCNet_x0_35",
    "PP-LCNet_x0_5",
    "PP-LCNet_x0_75",
    "PP-LCNet_x1_0",
    "PP-LCNet_x1_5",
    "PP-LCNet_x2_0",
    "PP-LCNet_x2_5",
    "PP-LCNetV2_small",
    "PP-LCNetV2_base",
    "PP-LCNetV2_large",
    "ResNet101",
    "ResNet152",
    "ResNet18",
    "ResNet34",
    "ResNet50",
    "ResNet200_vd",
    "ResNet101_vd",
    "ResNet152_vd",
    "ResNet18_vd",
    "ResNet34_vd",
    "ResNet50_vd",
    "SwinTransformer_tiny_patch4_window7_224",
    "SwinTransformer_small_patch4_window7_224",
    "SwinTransformer_base_patch4_window7_224",
    "SwinTransformer_base_patch4_window12_384",
    "SwinTransformer_large_patch4_window7_224",
    "SwinTransformer_large_patch4_window12_384",
]

ML_MODELS = [
    "ResNet50_ML",
    "PP-LCNet_x1_0_ML",
    "PP-HGNetV2-B0_ML",
    "PP-HGNetV2-B4_ML",
    "PP-HGNetV2-B6_ML",
    "CLIP_vit_base_patch16_448_ML",
]