mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-11-01 04:12:58 +08:00
cbf88a46fa
* 第一次提交 * 补充一处漏翻译 * deleted: docs/en/quantize.md * Update one translation * Update en version * Update one translation in code * Standardize one writing * Standardize one writing * Update some en version * Fix a grammer problem * Update en version for api/vision result * Merge branch 'develop' of https://github.com/charl-u/FastDeploy into develop * Checkout the link in README in vision_results/ to the en documents * Modify a title * Add link to serving/docs/ * Finish translation of demo.md * Update english version of serving/docs/ * Update title of readme * Update some links * Modify a title * Update some links * Update en version of java android README * Modify some titles * Modify some titles * Modify some titles * modify article to document * update some english version of documents in examples * Add english version of documents in examples/visions * Sync to current branch * Add english version of documents in examples * Add english version of documents in examples * Add english version of documents in examples * Update some documents in examples * Update some documents in examples * Update some documents in examples * Update some documents in examples * Update some documents in examples * Update some documents in examples * Update some documents in examples * Update some documents in examples * Update some documents in examples
28 lines
1.5 KiB
Markdown
28 lines
1.5 KiB
Markdown
English | [简体中文](README_CN.md)
|
||
# NanoDetPlus Ready-to-deploy Model
|
||
|
||
|
||
- NanoDetPlus deployment is based on the code of [NanoDetPlus](https://github.com/RangiLyu/nanodet/tree/v1.0.0-alpha-1) and coco's [Pre-trained Model](https://github.com/RangiLyu/nanodet/releases/tag/v1.0.0-alpha-1).
|
||
|
||
- （1）The *.onnx provided by [official repository](https://github.com/RangiLyu/nanodet/releases/tag/v1.0.0-alpha-1) can directly conduct the deployment；
|
||
- （2）Models trained by developers should export ONNX models. Please refer to [Detailed Deployment Documents](#Detailed-Deployment-Documents) for deployment.
|
||
|
||
## Download Pre-trained ONNX Model
|
||
|
||
For developers' testing, models exported by NanoDetPlus are provided below. Developers can download them directly. (The model accuracy in the following table is derived from the source official repository)
|
||
| Model | Size | Accuracy |
|
||
|:---------------------------------------------------------------- |:----- |:----- |
|
||
| [NanoDetPlus_320](https://bj.bcebos.com/paddlehub/fastdeploy/nanodet-plus-m_320.onnx ) | 4.6MB | 27.0% |
|
||
| [NanoDetPlus_320_sim](https://bj.bcebos.com/paddlehub/fastdeploy/nanodet-plus-m_320-sim.onnx) | 4.6MB | 27.0% |
|
||
|
||
|
||
## Detailed Deployment Documents
|
||
|
||
- [Python Deployment](python)
|
||
- [C++ Deployment](cpp)
|
||
|
||
|
||
## Release Note
|
||
|
||
- Document and code are based on [NanoDetPlus v1.0.0-alpha-1](https://github.com/RangiLyu/nanodet/tree/v1.0.0-alpha-1)
|