python-wechaty-meme-bot | participant project of ISCAS Summer

by MrZilinXiao Python Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets(3)Community Discussions Vulnerabilities Install Support

kandi X-RAY | python-wechaty-meme-bot Summary

python-wechaty-meme-bot is a Python library. python-wechaty-meme-bot has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However python-wechaty-meme-bot build file is not available. You can install using 'pip install python-wechaty-meme-bot' or download it from GitHub, PyPI.

Wechaty-Meme-Bot is a interactive chatbot based on Wechaty that is capable of answering user's meme with images in similar meanings or strong contextual relationship.

Support

Quality

Security

License

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Support

python-wechaty-meme-bot has a low active ecosystem.

It has 6 star(s) with 3 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

python-wechaty-meme-bot has no issues reported. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of python-wechaty-meme-bot is current.

Quality

python-wechaty-meme-bot has no bugs reported.

Security

python-wechaty-meme-bot has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

python-wechaty-meme-bot is licensed under the Apache-2.0 License. This license is Permissive.

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

Reuse

python-wechaty-meme-bot releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

python-wechaty-meme-bot has no build file. You will be need to create the build yourself to 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 python-wechaty-meme-bot and discovered the below as its top functions. This is intended to give you an instant insight into python-wechaty-meme-bot implemented functionality, and help decide if they suit your requirements.

Get matched string
Adds the sum of a v
Performs top - k filtering on the top - k features
Encodes the given string
Decode preds
Empirical product of kernames
Imports the data from the GPU
Check if a string is Chinese
Handle message
Process a message received from the server
Construct a ResNet50 model
Construct a ResNet18 model
Construct a ResNet34 model
Performs the forward transformation on x
Create a ResNet152 model
Get the value of the target and return it
Construct a ResNet101 model
Converts an image into an image
Compute the forward transformation
Handle incoming request
Predict a given image
Get match from target list
Get version
Wrapper for shufflenetv2
Shufflenet v2
Shufflenet V2

Get all kandi verified functions for this library.

python-wechaty-meme-bot Key Features

No Key Features are available at this moment for python-wechaty-meme-bot.

python-wechaty-meme-bot Examples and Code Snippets

Wechaty-Meme-Bot ,Directory Layout

Python

Lines of Code : 61

License : Permissive (Apache-2.0)

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$ tree -L 3 -I '__pycache__'
.
├── LICENSE
├── Makefile
├── README.md
├── backend  # backend files
│   ├── chineseocr_lite  # modified OCR module
│   │   ├── Dockerfile
│   │   ├── LICENSE
│   │   ├── __init__.py
│   │   ├── angle_class
│   │   ├── c

Wechaty-Meme-Bot ,Deploy Tutorial,Frontend

Python

Lines of Code : 16

License : Permissive (Apache-2.0)

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pip3 install wechaty-meme-bot
export WECHATY_PUPPET=wechaty-puppet-hostie
export WECHATY_PUPPET_HOSTIE_TOKEN=your-donut-token
export WECHATY_MEME_BOT_CONFIG='./config.yaml'  # add your config file to `WECHATY_MEME_BOT_CONFIG`
python3 -m wechaty_meme_

Wechaty-Meme-Bot ,Academic Citation

Python

Lines of Code : 4

License : Permissive (Apache-2.0)

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# in backend/cosine_metric_net.py
[1]N. Wojke and A. Bewley, “Deep Cosine Metric Learning for Person Re-identification,” in 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), Lake Tahoe, NV, Mar. 2018, pp. 748–756, doi: 10.1109/WA

Community Discussions

No Community Discussions are available at this moment for python-wechaty-meme-bot.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install python-wechaty-meme-bot

You can install using 'pip install python-wechaty-meme-bot' or download it from GitHub, PyPI.
You can use python-wechaty-meme-bot 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 .

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