unbox_AndresOsp_Track1 | forked from AndresOsp/Track1
kandi X-RAY | unbox_AndresOsp_Track1 Summary
kandi X-RAY | unbox_AndresOsp_Track1 Summary
unbox_AndresOsp_Track1 is a Python library. unbox_AndresOsp_Track1 has no bugs, it has no vulnerabilities, it has build file available and it has low support. However unbox_AndresOsp_Track1 has a Non-SPDX License. You can download it from GitHub.
forked from AndresOsp/Track1
forked from AndresOsp/Track1
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Quality
Security
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Support
unbox_AndresOsp_Track1 has a low active ecosystem.
It has 3 star(s) with 1 fork(s). There are no watchers for this library.
It had no major release in the last 6 months.
unbox_AndresOsp_Track1 has no issues reported. There are 3 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of unbox_AndresOsp_Track1 is current.
Quality
unbox_AndresOsp_Track1 has no bugs reported.
Security
unbox_AndresOsp_Track1 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
unbox_AndresOsp_Track1 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.
Reuse
unbox_AndresOsp_Track1 releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
Installation instructions, examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed unbox_AndresOsp_Track1 and discovered the below as its top functions. This is intended to give you an instant insight into unbox_AndresOsp_Track1 implemented functionality, and help decide if they suit your requirements.
- Main function of the main function .
- Runs the counter processing loop .
- Performs tracking processing .
- Run the neural network .
- Initialize the camera .
- Classify a vector .
- Reads the information files .
- Find the best batch size .
- Get the color of an object .
- Make a Tensor tensor
Get all kandi verified functions for this library.
unbox_AndresOsp_Track1 Key Features
No Key Features are available at this moment for unbox_AndresOsp_Track1.
unbox_AndresOsp_Track1 Examples and Code Snippets
No Code Snippets are available at this moment for unbox_AndresOsp_Track1.
Community Discussions
No Community Discussions are available at this moment for unbox_AndresOsp_Track1.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install unbox_AndresOsp_Track1
create a python virtual environment. activate the virtual environment.
clone source codes $ git clone https://github.com/dyh/unbox_AndresOsp_Track1.git
enter project directory $ cd unbox_AndresOsp_Track1
create a python virtual environment $ python3 -m venv venv
activate the virtual environment $ source venv/bin/activate
upgrade pip $ python -m pip install --upgrade pip
install requirements package install other packages $ pip install -r requirements.txt install NVIDIA DALI (based on cuda and pytorch) and you could choose other version at here $ pip install --extra-index-url https://developer.download.nvidia.com/compute/redist nvidia-dali-cuda100
clone source codes $ git clone https://github.com/dyh/unbox_AndresOsp_Track1.git
enter project directory $ cd unbox_AndresOsp_Track1
create a python virtual environment $ python3 -m venv venv
activate the virtual environment $ source venv/bin/activate
upgrade pip $ python -m pip install --upgrade pip
install requirements package install other packages $ pip install -r requirements.txt install NVIDIA DALI (based on cuda and pytorch) and you could choose other version at here $ pip install --extra-index-url https://developer.download.nvidia.com/compute/redist nvidia-dali-cuda100
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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