yolov5-ios-tensorflow-lite-main.zip

<div align="center"> <img src="https://www.tensorflow.org/images/tf_logo_social.png"> </div> [](https://badge.fury.io/py/tensorflow) [](https://badge.fury.io/py/tensorflow) **`Documentation`** | ------------------- | [](https://www.tensorflow.org/api_docs/) | [TensorFlow](https://www.tensorflow.org/) is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of [tools](https://www.tensorflow.org/resources/tools), [libraries](https://www.tensorflow.org/resources/libraries-extensions), and [community](https://www.tensorflow.org/community) resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML-powered applications. TensorFlow was originally developed by researchers and engineers working on the Google Brain team within Google's Machine Intelligence Research organization to conduct machine learning and deep neural networks research. The system is general enough to be applicable in a wide variety of other domains, as well. TensorFlow provides stable [Python](https://www.tensorflow.org/api_docs/python) and [C++](https://www.tensorflow.org/api_docs/cc) APIs, as well as non-guaranteed backward compatible API for [other languages](https://www.tensorflow.org/api_docs). Keep up-to-date with release announcements and security updates by subscribing to [announce@tensorflow.org](https://groups.google.com/a/tensorflow.org/forum/#!forum/announce). See all the [mailing lists](https://www.tensorflow.org/community/forums). ## Install See the [TensorFlow install guide](https://www.tensorflow.org/install) for the [pip package](https://www.tensorflow.org/install/pip), to [enable GPU support](https://www.tensorflow.org/install/gpu), use a [Docker container](https://www.tensorflow.org/install/docker), and [build from source](https://www.tensorflow.org/install/source). To install the current release, which includes support for [CUDA-enabled GPU cards](https://www.tensorflow.org/install/gpu) *(Ubuntu and Windows)*: ``` $ pip install tensorflow ``` A smaller CPU-only package is also available: ``` $ pip install tensorflow-cpu ``` To update TensorFlow to the latest version, add `--upgrade` flag to the above commands. *Nightly binaries are available for testing using the [tf-nightly](https://pypi.python.org/pypi/tf-nightly) and [tf-nightly-cpu](https://pypi.python.org/pypi/tf-nightly-cpu) packages on PyPi.* #### *Try your first TensorFlow program* ```shell $ python ``` ```python >>> import tensorflow as tf >>> tf.add(1, 2).numpy() 3 >>> hello = tf.constant('Hello, TensorFlow!') >>> hello.numpy() b'Hello, TensorFlow!' ``` For more examples, see the [TensorFlow tutorials](https://www.tensorflow.org/tutorials/). ## Contribution guidelines **If you want to contribute to TensorFlow, be sure to review the [contribution guidelines](CONTRIBUTING.md). This project adheres to TensorFlow's [code of conduct](CODE_OF_CONDUCT.md). By participating, you are expected to uphold this code.** **We use [GitHub issues](https://github.com/tensorflow/tensorflow/issues) for tracking requests and bugs, please see [TensorFlow Discuss](https://groups.google.com/a/tensorflow.org/forum/#!forum/discuss) for general questions and discussion, and please direct specific questions to [Stack Overflow](https://stackoverflow.com/questions/tagged/tensorflow).** The TensorFlow project strives to abide by generally accepted best practices in open-source software development: [](https://bugs.chromium.org/p/oss-fuzz/issues/list?sort=-opened&can=1&q=proj:tensorflow) [](https://bestpractices.coreinfrastructure.org/projects/1486) [](CODE_OF_CONDUCT.md) ## Continuous build status ### Official Builds Build Type | Status | Artifacts ------------------------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------- **Linux CPU** | [](https://storage.googleapis.com/tensorflow-kokoro-build-badges/ubuntu-cc.html) | [PyPI](https://pypi.org/project/tf-nightly/) **Linux GPU** | [](https://storage.googleapis.com/tensorflow-kokoro-build-badges/ubuntu-gpu-py3.html) | [PyPI](https://pypi.org/project/tf-nightly-gpu/) **Linux XLA** | [](https://storage.googleapis.com/tensorflow-kokoro-build-badges/ubuntu-xla.html) | TBA **macOS** | [](https://storage.googleapis.com/tensorflow-kokoro-build-badges/macos-py2-cc.html) | [PyPI](https://pypi.org/project/tf-nightly/) **Windows CPU** | [](https://storage.googleapis.com/tensorflow-kokoro-build-badges/windows-cpu.html) | [PyPI](https://pypi.org/project/tf-nightly/) **Windows GPU** | [](https://storage.googleapis.com/tensorflow-kokoro-build-badges/windows-gpu.html) | [PyPI](https://pypi.org/project/tf-nightly-gpu/) **Android** | [](https://storage.googleapis.com/tensorflow-kokoro-build-badges/android.html) | [](https://bintray.com/google/tensorflow/tensorflow/_latestVersion) **Raspberry Pi 0 and 1** | [](https://storage.googleapis.com/tensorflow-kokoro-build-badges/rpi01-py3.html) | [Py3](https://storage.googleapis.com/tensorflow-nightly/tensorflow-1.10.0-cp34-none-linux_armv6l.whl) **Raspberry Pi 2 and 3** | [](https://storage.googleapis.com/tensorflow-kokoro-build-badges/rpi23-py3.html) | [Py3](https://storage.googleapis.com/tensorflow-nightly/tensorflow-1.10.0-cp34-none-linux_armv7l.whl) **Libtensorflow MacOS CPU** | [](https://storage.googleapis.com/tensorflow-kokoro-build-badges/libtensorflow-mac-cpu.html) | [GCS](https://storage.googleapis.com/libtensorflow-nightly) **Libtensorflow Linux CPU** | [](https://storage.googleapis.com/tensorflow-kokoro-build-badges/libtensorflow-linux-cpu.html) | [GCS](https://storage.googleapis.com/libtensorflow-nightly) **Libtensorflow Linux GPU** | [](https://storage.googleapis.com/tensorflow-kokoro-build-badges/libtensorflow-linux-gpu.html) | [GCS](https://storage.googleapis.com/libtensorflow-nightly) **Libtensorflow Windows CPU** | [![S