在移动设备上使用 TensorFlow Lite 模型运行推理不仅仅是与模型交互,还需要额外的代码来处理复杂的逻辑,如数据转换、预处理/后处理、加载关联文件等。 代码语言:javascript 复制 额外的代码https://tensorflow.google.cn/lite/guide/lite_support 今天,我们将为大家介绍 TensorFlow Lite Task Library,这是一组功能强大且...
例如,您可以使用 DeepLab v3 TFLite 模型在Android中分割飞机图像(图 1),如下所示: // Create the API froma model file and options String modelPath = "path/to/model.tflite" ImageSegmenterOptions options = ImageSegmenterOptions.builder().setOutputType(OutputType.CONFIDENCE_MASK).build(); ImageSegmen...
The TensorFlow Lite Support Library also defines a TensorAudio class wrapping some basic audio data processing methods. TensorAudiotensorAudio=TensorAudio.create(TensorAudioFormat.create(1, sampleRate), size); tensorAudio.loadShortBytes(audioBytes);TensorBufferinputBuffer=tensorAudio.tensorBuffer; ...
TFLite Support Task Library: a flexible and ready-to-use library for common machine learning model types, such as classification and detection, client can also build their own native/Android/iOS inference API on Task Library infra. TFLite Support library serves different tiers of deployment require...
由于使用 dart:ffi (dart ↔️ (ffi) ↔️ C),tflite_flutter 非常快 (拥有低延时)。而 tflite 使用平台集成 (dart ↔️ platform-channel ↔️ (Java/Swift) ↔️ JNI ↔️ C)。 问:如何使用 tflite_flutter 创建图片分类应用?有没有类似 TensorFlow Lite Android Support Library 的...
将官方TensorFlow Lite Micro Library for Arduino 存储库中的开发版本复制到Arduino的sketches/libraries文件夹中。您可以在存储库中找到有关安装最新开发版本库的更多详细信息。 中的开发版本复制到Arduino的sketches/libraries文件夹中。您可以在存储库中找到有关安装最新开发版本库的更多详细信息。
TensorFlow Lite 和 TensorFlow Mobile 是资源受限移动设备的两种 TensorFlow。与 TensorFlow Mobile 相比,TensorFlow Lite 支持功能的子集。由于较小的二进制大小和较少的依赖项,TensorFlow Lite 可以获得更好的表现。 要将TensorFlow 集成到您的应用中,首先,使用我们在整本书中提到的技术训练模型,然后保存模型。现在可以...
The tflite_runtime package is a smaller, simplified Python package that includes the bare minimum code required to run inference with TensorFlow Lite. This package is ideal when all you want to do is execute .tflite models and avoid wasting disk space with the large TensorFlow library. ...
C++ API: Loads the TensorFlow Lite Model File and invokes the Interpreter. The same library is available on both Android and iOS. Interpreter: Executes the model using a set of kernels. The interpreter supports selective kernel loading; without kernels it is only 100KB, and 300KB with all th...
转换器(converter), 将TensorFlow模型转换为解释器(interpreter)可用的高效形式,并做了优化以可减小二进制文件的尺寸(当链接所有op时,Lite的二进制包小于300KB,当只包括inceptionV3和MobileNet模型的对应op时,包小于200KB)并提高性能。 部署流程有4个步骤: