mobilenet_v1¶

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

MobileNetV1 from “MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications”.

Parameters

• pretrained (bool, optional) – Whether to load pre-trained weights. If True, returns a model pre-trained on ImageNet. Default: False.

• scale (float, optional) – Scale of channels in each layer. Default: 1.0.

• **kwargs (optional) – Additional keyword arguments. For details, please refer to MobileNetV1.

Returns

Layer. An instance of MobileNetV1 model.

Examples

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)
# [1, 1000]