swift - Keras 层 '' 不支持。将 keras 模型 .h5 转换为 .mlmodel

Question

我最近从同事那里收到了一个 keras 模型 (facenet_keras.h5)。该模型将输入 160 x 160 x 3 图像并输出 1 x 128 向量。我的工作是将这个给定模型转换为 iOS 项目的 coreML 模型。

我已使用 coremltools 尝试将模型转换为 mlmodel，但我不断收到消息 Keras layer '<class 'keras.layers.core.Lambda'>' not supported.

我已经包含了模型中的所有层。该模型相当重(91 mb)。

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 <keras.layers.convolutional.Conv2D at 0x141c4a0f0>,
 <keras.layers.normalization.BatchNormalization at 0x141c4a7f0>,
 <keras.layers.core.Activation at 0x141c4a2e8>,
 <keras.layers.convolutional.Conv2D at 0x149a10a58>,
 <keras.layers.normalization.BatchNormalization at 0x149a10320>,
 <keras.layers.core.Activation at 0x149a106d8>,
 <keras.layers.pooling.MaxPooling2D at 0x149a108d0>,
 <keras.layers.convolutional.Conv2D at 0x141c3ff60>,
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 <keras.layers.core.Activation at 0x1544ff2b0>,
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 <keras.layers.core.Activation at 0x1544ff860>,
 <keras.layers.convolutional.Conv2D at 0x1544ff898>,
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有什么替代方法可以做到这一点吗？我本人对 coremltools 还很陌生，因此我们将不胜感激。有没有办法使用 add_custom_layers=True 和 custom_conversion_functions={}) 在 swift 中实现这个自定义层“keras.core.lambda”？

Answer 1

有两种方法可以做到这一点:

1. 使用现有 Core ML 操作从 lambda 层实现功能。

2. 为这些 lambda 层创建自定义层。

我写了一篇关于 Core ML 中自定义层的博客文章:https://machinethink.net/blog/coreml-custom-layers/