spectrovision | SpectroVision dataset and associated code
kandi X-RAY | spectrovision Summary
kandi X-RAY | spectrovision Summary
spectrovision is a Python library. spectrovision has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.
The SpectroVision dataset and associated code for the paper "Multimodal Material Classification for Robots using Spectroscopy and High Resolution Texture Imaging".
The SpectroVision dataset and associated code for the paper "Multimodal Material Classification for Robots using Spectroscopy and High Resolution Texture Imaging".
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spectrovision has a low active ecosystem.
It has 6 star(s) with 3 fork(s). There are 4 watchers for this library.
It had no major release in the last 12 months.
spectrovision has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of spectrovision is v1.0
Quality
spectrovision has 0 bugs and 0 code smells.
Security
spectrovision has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
spectrovision code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
spectrovision is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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spectrovision releases are available to install and integrate.
Build file is available. You can build the component from source.
Installation instructions, examples and code snippets are available.
It has 387 lines of code, 8 functions and 3 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed spectrovision and discovered the below as its top functions. This is intended to give you an instant insight into spectrovision implemented functionality, and help decide if they suit your requirements.
- Train the model
- Prepare data for training
- Creates a tensorflow module
- Compute the first derivative of measurements
- Loads raw data files
- Calculate objective function
Get all kandi verified functions for this library.
spectrovision Key Features
No Key Features are available at this moment for spectrovision.
spectrovision Examples and Code Snippets
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git clone https://github.com/Healthcare-Robotics/spectrovision.git
cd spectrovision
# Setup a virtual python environment to install requirements
python3 -m pip install --user virtualenv
python3 -m venv env
source env/bin/activate
pip3 install -r requ
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wget -O dataset/spectrovision_dataset.zip https://github.com/Healthcare-Robotics/spectrovision/releases/download/v1.0/spectrovision_dataset.zip
unzip dataset/spectrovision_dataset.zip -d dataset
wget -O dataset/spectrovision_raw_dataset.zip https://
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python3 main.py
python3 main.py --seed 8000
nohup python3 main.py > results.out &
Community Discussions
No Community Discussions are available at this moment for spectrovision.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install spectrovision
Download the processed image and spectral data used for training neural network models:.
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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