fastDeploy | Deploy DL/ ML inference pipelines with minimal extra code | Machine Learning library

by notAI-tech Python Version: 3.0.14 License: MIT

X-Ray Key Features Code Snippets(1)Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | fastDeploy Summary

fastDeploy is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Docker applications. fastDeploy has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install fastDeploy' or download it from GitHub, PyPI.

Deploy DL/ ML inference pipelines with minimal extra code.

Support

Quality

Security

License

Reuse

Support

fastDeploy has a low active ecosystem.

It has 86 star(s) with 12 fork(s). There are 7 watchers for this library.

It had no major release in the last 12 months.

There are 0 open issues and 6 have been closed. On average issues are closed in 100 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of fastDeploy is 3.0.14

Quality

fastDeploy has 0 bugs and 0 code smells.

Security

fastDeploy has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

fastDeploy code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

fastDeploy is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

fastDeploy releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed fastDeploy and discovered the below as its top functions. This is intended to give you an instant insight into fastDeploy implemented functionality, and help decide if they suit your requirements.

Process POST request
Waits for a predicate for the given unique_id
Detect the text of the image
R Predicate for a prediction
Resize an image
Run the build
Rescale coordinates to image coordinates
Convert a float to float32
Clip bounding boxes to given shape
Validate image size
Convert x y to xy coordinates
Convert xy coordinates to xwh
Validate inputs and return outputs
The main function
Called when a message is received
The main loop
Finds the best batch size
Detects text from input images
Warm up an example

Get all kandi verified functions for this library.

fastDeploy Key Features

No Key Features are available at this moment for fastDeploy.

fastDeploy Examples and Code Snippets

fastDeploy

Python

Lines of Code : 38

License : Permissive (MIT)

Copy

pip install --upgrade fastdeploy

# Invoke fastdeploy 
fastdeploy --help
# or
python -m fastdeploy --help

# Start prediction "loop" for recipe "deepsegment"
fastdeploy --recipe ./deepsegment --mode loop

# Start rest apis for recipe "deepsegment"
fa

Community Discussions

Trending Discussions on fastDeploy

How to check whether or not I have adb installed on my macOS?

How do I unmarshal this JSON array into a struct slice with Go?

QUESTION

How to check whether or not I have adb installed on my macOS?

Asked 2020-Feb-21 at 16:52

This is what I tried:

...

ANSWER

Answered 2020-Feb-21 at 16:52

You can check the path by going to Tools -> SDK Manager and looking at Android SDK Location. Generally, the adb is present under the platform-tools folder present under this Android SDK Location.

At that location you need to execute ./adb.

Else you can also export that platform-tools path to access adb from anywhere, as follow:

Source https://stackoverflow.com/questions/60342712

QUESTION

How do I unmarshal this JSON array into a struct slice with Go?

Asked 2019-Sep-12 at 19:27

I have a JSON file like this:

...

ANSWER

Answered 2019-Aug-30 at 21:58

Export the field names of your struct: Namespace, Tenant, Name, etc., so the unmarshaler can set them via reflection.

Re: omitempty, that's a tag for the json marshaler. If you marshal your struct to json with empty strings, then those fields will be omitted. If you printf the struct, they will be printed.

Source https://stackoverflow.com/questions/57733408

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install fastDeploy

You can install using 'pip install fastDeploy' or download it from GitHub, PyPI.
You can use fastDeploy like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: