generated_model: Directory with optimized TFLite models. demo_and_apk: Contains pre-built APKs for direct Android installation. 🚀 How to Use Running the Whisper Java App Navigate to thewhisper_javafolder. Open the project in Android Studio. ...
# "armeabi-v7a"bazel build -c opt //tensorflow/lite:libtensorflowLite.so --config=android_arm --cxxopt="-std=c++11" 会在tensorflow/bazel-bin/tensorflow/lite/目录下生成一个libtensorflowLite.so文件。 在桌面上新建一个文件夹 叫armeabi-v7a,把编译生成的libtensorflowLite.so文件拷贝进去。因为原来...
pip install tflite-model-maker 创建训练脚本train.py: # https://www.tensorflow.org/lite/tutorials/model_maker_object_detectionfromtflite_model_maker.configimportQuantizationConfigfromtflite_model_maker.configimportExportFormatfromtflite_model_makerimportmodel_specfromtflite_model_makerimportobject_detectori...
Inference is performed using the TensorFlow Lite Java API and theTensorFlow Lite Android Support Library. The demo app classifies frames in real-time, displaying the top most probable classifications. It allows the user to choose between a floating point orquantizedmodel, select the thread count, a...
https://github.com/tensorflow/examples/tree/master/lite/examples/optical_character_recognition/android 从图像中识别文本的过程即为 OCR,该技术在多个领域中广泛使用。例如,Google 地图运用 OCR 技术从地理定位图像中提取信息,进而完善 Google 地图。 Google 地图运用 OCR 技术 ...
本文demo 的 github 地址:https://github.com/fengzhizi715/TFLite-MnistDemo 当然,也可以跑一下官方的例子:https://github.com/tensorflow/tensorflow/tree/master/tensorflow/lite/examples/android/app 本文参与 腾讯云自媒体同步曝光计划,分享自作者个人站点/博客。 原始发表:2018.11.07 ,如有侵权请联系 cloudcommun...
TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi A guide showing how to train TensorFlow Lite object detection models and run them on Android, the Raspberry Pi, and more! Introduction TensorFlow Lite is an optimized framework for deploying lightweight deep learning models on resource-cons...
本文demo 的 github 地址:https://github.com/fengzhizi715/TFLite-MnistDemo 当然,也可以跑一下官方的例子:https://github.com/tensorflow/tensorflow/tree/master/tensorflow/lite/examples/android/app 虽然准确度都不咋地。。。 更多有趣的TensorFlow Lite示例:https://www.tensorflow.org/lite/examples/ ...
GitHub上的TensorFlow Lite示例 (https://github.com/tensorflow/tensorflow/blob/master/tensorflow/contrib/lite/java/demo/app/src/main/java/com/example/android/tflitecamerademo/ImageClassifier.java) 中有一个辅助函数。只需确保getModelPath()返回一个指向assets文件夹中的文件的字符串,然后加载模型。
本文demo 的 github 地址:https://github.com/fengzhizi715/TFLite-MnistDemo 当然,也可以跑一下官方的例子:https://github.com/tensorflow/tensorflow/tree/master/tensorflow/lite/examples/android/app 点击查看更多内容 作者其他优质文章 fengzhizi715