LTM

by zhangxiaosong18 Python Version: Current License: Apache-2.0

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

kandi X-RAY | LTM Summary

LTM is a Python library. LTM 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.

LTM

Support

Quality

Security

License

Reuse

Support

LTM has a low active ecosystem.

It has 2 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

LTM has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of LTM is current.

Quality

LTM has no bugs reported.

Security

LTM has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

LTM 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

LTM 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 LTM and discovered the below as its top functions. This is intended to give you an instant insight into LTM implemented functionality, and help decide if they suit your requirements.

Initialize the bottleneck .
Evaluate a map .
Locally the location of the target image .
Factory function for tp and fp .
Gets results from coco - style results .
Decorator to automatically convert nn .
Decorator to force a function to be applied to the wrapped function .
Build an optimizer .
Calculate the target image .
Compute shape of target shape .

Get all kandi verified functions for this library.

LTM Key Features

No Key Features are available at this moment for LTM.

LTM Examples and Code Snippets

No Code Snippets are available at this moment for LTM.

Community Discussions

No Community Discussions are available at this moment for LTM.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install LTM

Python3
PyTorch 1.3.1 with CUDA support
torchvision 0.4.2
mmcv 0.2.14
pycocotools 2.0.1

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 .

Find more information at: