| Crates.io | libochw |
| lib.rs | libochw |
| version | 0.2.0 |
| created_at | 2025-04-28 13:28:47.451592+00 |
| updated_at | 2025-04-29 04:29:45.958986+00 |
| description | 一个支持汉字手写识别的库 |
| homepage | |
| repository | https://github.com/ximeiorg/ochw |
| max_upload_size | |
| id | 1652165 |
| size | 196,667 |
ochw 是一个基于卷积神经网络的手写汉字识别模型,基于 CASIA-HWDB 1.0 数据集训练,可识别 3740 个汉字和小部分符号。
cargo add ochw
wget https://huggingface.co/rkingzhong/ochw/resolve/main/ochw_mobilenetv2_fp16.safetensors?download=true
以 知 字图片为例子。

let weights = include_bytes!("ochw_mobilenetv2_fp16.safetensors");
let worker = Inference::load_model(weights)?;
let labels = worker.get_labels()?;
let image = vec![];//Vec<u8> data
let output = worker.predict(image,Some(10))?;
println!("{:?}",output);
结果如下:
1. Class 知: 96.17%
2. Class 勉: 0.62%
3. Class 处: 0.28%
4. Class 贮: 0.23%
5. Class 矩: 0.12%