Files
FastDeploy/examples/vision/facedet/ultraface
charl-u cbf88a46fa [Doc]Update English version of some documents (#1083)
* 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
2023-01-09 10:08:19 +08:00
..

English | 简体中文

UltraFace Ready-to-deploy Model

  • UltraFace
    • 1The *.onnx provided by the Official Library can be downloaded directly or through the following model link.
    • 2As for the model trained on customized data, export the onnx model and then refer to Detailed Deployment Tutorials to complete the deployment.

Download Pre-trained ONNX Models

For developers' testing, models exported by UltraFace are provided below. Developers can download and use them directly. (The accuracy of the models in the table is sourced from the official library)

Model Size Accuracy
RFB-320 1.3MB 78.7
RFB-320-sim 1.2MB 78.7

Detailed Deployment Tutorials

Release Note