RPi_CaffeQuery | Caffe query framework for the Raspberry Pi
kandi X-RAY | RPi_CaffeQuery Summary
kandi X-RAY | RPi_CaffeQuery Summary
RPi_CaffeQuery is a Python library typically used in Raspberry Pi, Debian applications. RPi_CaffeQuery has no bugs, it has no vulnerabilities and it has low support. However RPi_CaffeQuery build file is not available and it has a Non-SPDX License. You can download it from GitHub.
#Install requirements for python and query CNN code sudo apt-get install python python-pycurl python-lxml python-pip sudo pip install grab sudo apt-get install apache2 mkdir -p /dev/shm/images sudo ln -s /dev/shm/images /var/www/images Then you must forward your router from port 5005 to port 80 on the Pi run test.sh. #How does this work First we use raspistill to take an image and save it to memory as /dev/shm/images/test.jpg. Since this is symlinked in /var/www, we should be able to see it at Then we use grab to qull up the Caffe demo framework with our image and get the classification results. This is done in queryCNN.py which gets the results.
#Install requirements for python and query CNN code sudo apt-get install python python-pycurl python-lxml python-pip sudo pip install grab sudo apt-get install apache2 mkdir -p /dev/shm/images sudo ln -s /dev/shm/images /var/www/images Then you must forward your router from port 5005 to port 80 on the Pi run test.sh. #How does this work First we use raspistill to take an image and save it to memory as /dev/shm/images/test.jpg. Since this is symlinked in /var/www, we should be able to see it at Then we use grab to qull up the Caffe demo framework with our image and get the classification results. This is done in queryCNN.py which gets the results.
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Support
RPi_CaffeQuery has a low active ecosystem.
It has 30 star(s) with 11 fork(s). There are 6 watchers for this library.
It had no major release in the last 6 months.
RPi_CaffeQuery has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of RPi_CaffeQuery is current.
Quality
RPi_CaffeQuery has 0 bugs and 0 code smells.
Security
RPi_CaffeQuery has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
RPi_CaffeQuery code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
RPi_CaffeQuery has a Non-SPDX License.
Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.
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RPi_CaffeQuery releases are not available. You will need to build from source code and install.
RPi_CaffeQuery 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.
RPi_CaffeQuery saves you 3 person hours of effort in developing the same functionality from scratch.
It has 10 lines of code, 0 functions and 1 files.
It has low code complexity. Code complexity directly impacts maintainability of the code.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of RPi_CaffeQuery
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of RPi_CaffeQuery
RPi_CaffeQuery Key Features
No Key Features are available at this moment for RPi_CaffeQuery.
RPi_CaffeQuery Examples and Code Snippets
No Code Snippets are available at this moment for RPi_CaffeQuery.
Community Discussions
No Community Discussions are available at this moment for RPi_CaffeQuery.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install RPi_CaffeQuery
You can download it from GitHub.
You can use RPi_CaffeQuery 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.
You can use RPi_CaffeQuery 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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