mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-10-05 00:33:03 +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
English | 简体中文
YOLOv5Cls Ready-to-deploy Model
- YOLOv5Cls v6.2 model deployment is based on YOLOv5 and Pre-trained Models on ImageNet.
- （1）The *-cls.pt model provided by Official Repository can export the ONNX file using
export.pyin YOLOv5, then deployment can be conducted; - （2）The YOLOv5Cls v6.2 Model trained by personal data should export the ONNX file using
export.pyin YOLOv5.
- （1）The *-cls.pt model provided by Official Repository can export the ONNX file using
Download Pre-trained ONNX Model
For developers' testing, models exported by YOLOv5Cls 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(top1) | Accuracy(top5) |
|---|---|---|---|
| YOLOv5n-cls | 9.6MB | 64.6% | 85.4% |
| YOLOv5s-cls | 21MB | 71.5% | 90.2% |
| YOLOv5m-cls | 50MB | 75.9% | 92.9% |
| YOLOv5l-cls | 102MB | 78.0% | 94.0% |
| YOLOv5x-cls | 184MB | 79.0% | 94.4% |
Detailed Deployment Documents
Release Note
- Document and code are based on YOLOv5 v6.2.