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توضیحات

Tool for generating App Inventor extension skeletons from Tensorflow.js models

ویژگی	مقدار
سیستم عامل	-
نام فایل	appinventor-tfjs-0.1.4
نام	appinventor-tfjs
نسخه کتابخانه	0.1.4
نگهدارنده	[]
ایمیل نگهدارنده	[]
نویسنده	Evan W. Patton
ایمیل نویسنده	ewpatton@mit.edu
آدرس صفحه اصلی	https://github.com/mit-cml/tfjs-extension-tool
آدرس اینترنتی	https://pypi.org/project/appinventor-tfjs/
مجوز	Apache

# MIT App Inventor TFJS Extension Generator The aim of this tool is to make it easier to generate the scaffolding needed to use a Tensorflow.js model in App Inventor. ## Quickstart Install dependencies: * java 8 * ant 1.10 * python 3 * node * npm * git Install the App Inventor TFJS extension generator using pip: ``` pip install appinventor-tfjs ``` Create an extension prototype for Posenet: ``` python -m appinventor.tfjs posenet edu.mit.appinventor.ai.posenet.PosenetExtension ``` The output of this command will be a new directory called PosenetExtension. Within this directory, you will find a fresh git clone of the App Inventor extension template repository. The directory will have the following structure: ``` build.xml lib ├─ android │ ├─ android.jar │ ├─ appcompat-v7-28.0.0.jar │ └─ dx.jar ├─ ant-contrib │ └─ ant-contrib-1.0b3.jar ├─ appinventor │ └─ AndroidRuntime.jar │ └─ AnnotationProcessors.jar └─ deps README.md src └─ edu └─ mit └─ appinventor └─ ai └─ posenet ├─ assets │ ├─ app.js │ ├─ group1-shard1of2.bin │ ├─ group1-shard2of2.bin │ ├─ index.html │ ├─ model-stride16.json │ ├─ posenet.min.js │ ├─ tf-converter.min.js │ ├─ tf-core.min.js │ └─ VERSIONS └─ PosenetExtension.java ``` Of those files, the ones under `src` are most interesting. Briefly: * `PosenetExtension.java` - Boilerplate extension code for a TFJS extneion in App Inventor. You will want to customize it to provide model-specific behavior, such as interpreting the results before passing information back to the blocks layer. * `app.js` - Boilerplate Javascript code to load the model and interact with the Java code in the App Inventor extension. You will need to modify this to interact correctly with the TFJS model, such as calling the correct method to start the model and interpret its output for App Inventor. * `group-*.bin` - These are the weights at each level of the model, pulled from the TFJS model repository. The number of files will vary based on the size of the model. * `index.html` - The index.html file loads all of the prerequisite Javascript files. It generally does not need to be modified. * `*.min.js` - Minified Javascript code for the model and any dependencies, such as tfjs-core and tfjs-converter. * `VERSIONS` - The VERSIONS file contains a key-value mapping the different npm modules to the versions that were retrieved. There should be one entry per min.js file. ## Usage ``` usage: python -m appinventor.tfjs [-h] [--scope SCOPE] model_name class_name Create a TensorFlow.js-based extension for MIT App Inventor. positional arguments: model_name class_name optional arguments: -h, --help show this help message and exit --scope SCOPE ``` The `model_name` argument names the Tensorflow.js model of interest. A list of pretrained models is available on [GitHub](https://github.com/tensorflow/tfjs-models). For example, if you are interested in trying the MobileNet model, you would specify `mobilenet` as the `model_name`. The `class_name` argument specifies a fully qualified Java class name that will be used for the extension. For example, a MobileNet extension for App Inventor might have the fully qualified class name `com.example.tfjs.mobile.MobileNetExtension`. The extension generator will create this class and any intermediate packages for you. The optional `--scope SCOPE` argument allows you to import models from npm packages that are not under the `@tensorflow-models` namespace (effectively, if `--scope` is not specified it is the same as `--scope @tensorflow-models`). ## Development ### Dependencies You will need to create a virtual environment and install the dependencies by running. We provide instructions for macOS below. ### Create a virtualenv #### macOS 1. Install Homebrew 2. Install pyenv ```shell brew install pyenv echo "eval \"\$(pyenv init -)\"" >> ~/.bash_profile echo "eval \"\$(pyenv virtualenv-init -)\"" >> ~/.bash_profile source ~/.bash_profile ``` 3. Create a python environment using pyenv and activate it ```shell pyenv install 3.6 pyenv virtualenv 3.6 appinventor3 pyenv activate appinventor3 ``` ### Install dependencies ```shell pip install -r requirements.txt pip install . ``` ## Contributing This software is made available under the Apache Software License 2.0. You are welcome to contribute pull requests to this project via GitHub. ## License Copyright 2020 Massachusetts Institute of Technology Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

نیازمندی

مقدار	نام
-	certifi

زبان مورد نیاز

مقدار	نام
>=3.0	Python

نحوه نصب

نصب پکیج whl appinventor-tfjs-0.1.4:

pip install appinventor-tfjs-0.1.4.whl

نصب پکیج tar.gz appinventor-tfjs-0.1.4:

pip install appinventor-tfjs-0.1.4.tar.gz