mirror of https://github.com/alibaba/MNN.git
69dba73dc7
Main Feature: 1. Add OpenCV API and Numpy API Support 2. Protobuf move into MNN 3. Add more op for torchscript convert 4. Add recompute to speed up geometry compute 5. Add ModuleBasic Test |
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| docs | ||
| grpc | ||
| include/flatbuffers | ||
| reflection | ||
| samples | ||
| src | ||
| tests | ||
| .clang-format | ||
| .editorconfig | ||
| .gitattributes | ||
| .gitignore | ||
| .travis.yml | ||
| CMakeLists.txt | ||
| CONTRIBUTING.md | ||
| LICENSE.txt | ||
| WORKSPACE | ||
| appveyor.yml | ||
| build_defs.bzl | ||
| composer.json | ||
| conanfile.py | ||
| package.json | ||
| pom.xml | ||
| readme.md | ||
readme.md
FlatBuffers
FlatBuffers is a cross platform serialization library architected for maximum memory efficiency. It allows you to directly access serialized data without parsing/unpacking it first, while still having great forwards/backwards compatibility.
Go to our landing page to browse our documentation.
Supported operating systems
- Windows
- MacOS X
- Linux
- Android
- And any others with a recent C++ compiler.
Supported programming languages
- C++
- C#
- C
- Dart
- Go
- Java
- JavaScript
- Lobster
- Lua
- PHP
- Python
- Rust
- TypeScript
and more in progress...
Contribution
- FlatBuffers Google Group to discuss FlatBuffers with other developers and users.
- FlatBuffers Issues Tracker to submit an issue.
- stackoverflow.com with
flatbufferstag for any questions regarding FlatBuffers.
To contribute to this project, see CONTRIBUTING.
Licensing
Flatbuffers is licensed under the Apache License, Version 2.0. See LICENSE for the full license text.