training-master.rar_entirely4sq_动态图像识别_目标检测

# Cloud Annotations [](https://npmjs.org/package/cloud-annotations) [](https://npmjs.org/package/cloud-annotations) [](https://travis-ci.org/cloud-annotations/training) [](https://coveralls.io/github/cloud-annotations/training?branch=master)  ## Installation ```bash $ npm install -g cloud-annotations ``` ## Before you begin The Cloud Annotations CLI requires you to already have labeled images in the [Cloud Annotations online tool](https://cloud.annotations.ai/). For an in-depth guide on this process, check out the following links: - [Training a Classification Model](https://cloud-annotations.github.io/training/classification/cli/) – How to train your own model to label images on IBM Cloud. - [Training an Object Detection Model](https://cloud-annotations.github.io/training/object-detection/cli/) – How to train your own model to find objects in an image on IBM Cloud. Cloud Annotations CLI should work on macOS, Windows, and Linux.<br> If something doesn’t work, please [file an issue](https://github.com/cloud-annotations/training/issues/new). ## Usage ```bash $ cacli ┌─────────────────────────────┐ │ (C)loud (A)nnotations (CLI) │ │ version 1.1.0 │ └─────────────────────────────┘ Usage: cacli <command> where <command> is one of: init Interactively create a config.yaml file train Start a training run logs Monitor the logs of a training run progress Monitor the progress of a training run list List all training runs download Download a trained model cacli <cmd> -h quick help on <cmd> ```