tensorflow-ue4 | TensorFlow plugin for Unreal Engine
kandi X-RAY | tensorflow-ue4 Summary
kandi X-RAY | tensorflow-ue4 Summary
tensorflow-ue4 is a C++ library. tensorflow-ue4 has no bugs, it has no vulnerabilities and it has medium support. However tensorflow-ue4 has a Non-SPDX License. You can download it from GitHub.
TensorFlow plugin for Unreal Engine 4
TensorFlow plugin for Unreal Engine 4
Support
Quality
Security
License
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Support
tensorflow-ue4 has a medium active ecosystem.
It has 787 star(s) with 149 fork(s). There are 80 watchers for this library.
It had no major release in the last 12 months.
There are 33 open issues and 31 have been closed. On average issues are closed in 109 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of tensorflow-ue4 is 1.0.0alpha2
Quality
tensorflow-ue4 has 0 bugs and 0 code smells.
Security
tensorflow-ue4 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
tensorflow-ue4 code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
tensorflow-ue4 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
tensorflow-ue4 releases are available to install and integrate.
Installation instructions, examples and code snippets are available.
Top functions reviewed by kandi - BETA
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of tensorflow-ue4
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of tensorflow-ue4
tensorflow-ue4 Key Features
No Key Features are available at this moment for tensorflow-ue4.
tensorflow-ue4 Examples and Code Snippets
No Code Snippets are available at this moment for tensorflow-ue4.
Community Discussions
No Community Discussions are available at this moment for tensorflow-ue4.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install tensorflow-ue4
(GPU only) Install CUDA and cudNN pre-requisites if you're using compatible GPUs (NVIDIA)
Download Latest Release choose CPU or GPU download version if supported.
Create new or choose project.
Browse to your project folder (typically found at Documents/Unreal Project/{Your Project Root})
Copy Plugins folder into your Project root.
Launch your project.
(Optional) All plugins should be enabled by default, you can confirm via Edit->Plugins. Scroll down to Project and you should see three plugins, TensorFlow in Computing, Socket.IO Client in Networking and UnrealEnginePython in Scripting Languages. Click Enabled if any is disabled and restart the Editor and open your project again.
Wait for tensorflow dependencies to be automatically installed. It will auto-resolve any dependencies listed in Content/Scripts/upymodule.json using pip. Note that this step may take a few minutes and depends on your internet connection speed and you will see nothing in the output log window until it has fully completed.
Once you see an output similar to this (specific packages will change with each version of tensorflow), the plugin is ready to use.
Download Latest Release choose CPU or GPU download version if supported.
Create new or choose project.
Browse to your project folder (typically found at Documents/Unreal Project/{Your Project Root})
Copy Plugins folder into your Project root.
Launch your project.
(Optional) All plugins should be enabled by default, you can confirm via Edit->Plugins. Scroll down to Project and you should see three plugins, TensorFlow in Computing, Socket.IO Client in Networking and UnrealEnginePython in Scripting Languages. Click Enabled if any is disabled and restart the Editor and open your project again.
Wait for tensorflow dependencies to be automatically installed. It will auto-resolve any dependencies listed in Content/Scripts/upymodule.json using pip. Note that this step may take a few minutes and depends on your internet connection speed and you will see nothing in the output log window until it has fully completed.
Once you see an output similar to this (specific packages will change with each version of tensorflow), the plugin is ready to use.
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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