PaddlePaddle

 paddle.vision / models / mobilenet_v1


mobilenet_v1

paddle.vision. mobilenet_v1 ( pretrained=False, scale=1.0, **kwargs ) [源代码]

MobileNetV1模型,来自论文 "MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications"

参数

  • pretrained (bool,可选) - 是否加载在imagenet数据集上的预训练权重。默认值:False。

  • scale (float,可选) - 模型通道数的缩放比例。默认值:1.0。

返回

mobilenetv1模型,Layer的实例。

代码示例

import paddle
from paddle.vision.models import mobilenet_v1

# build model
model = mobilenet_v1()

# build model and load imagenet pretrained weight
# model = mobilenet_v1(pretrained=True)

# build mobilenet v1 with scale=0.5
model_scale = mobilenet_v1(scale=0.5)

x = paddle.rand([1, 3, 224, 224])
out = model(x)

print(out.shape)

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