bump: v0.3.0

Cargo.toml

@@ -1,6 +1,6 @@
 [package]
 name = "real-cugan-rs"
-version = "0.2.0"
+version = "0.3.0"
 edition = "2021"
 authors = ["yurzhang <[email protected]>"]
 

README.md

@@ -24,16 +24,18 @@ Usage: real-cugan-rs [OPTIONS] --input-path <INPUT> --output-path <OUTPUT>
 Options:
   -i, --input-path <INPUT>    Input image path
   -o, --output-path <OUTPUT>  Output image path
-  -c, --use-cpu               Use CPU instead of GPU for inference
+  -C, --use-cpu               Use CPU instead of GPU for inference
   -m, --model-name <MODEL>    Filename of the model in `models` directory [default: pro-no-denoise-up2x.pth]
+  -a, --alpha <ALPHA>         Please check the documentation for this option [default: 1.0]
+  -t, --tile-size <TILE>      Tile size, smaller value can reduce memory usage
+      --no-cache              Disable cache
   -h, --help                  Print help
   -V, --version               Print version
 ```
 
-Supported image formats: JPEG, PNG, WebP.
+Supported image formats: BMP, JPEG, PNG, WebP.
 
 ### Note
 
 - Currently only 2x upscale of the pro model is supported.
-- Currently no tile support.
 - **PRs are welcome!**

README_zh.md

@@ -14,7 +14,7 @@
 real-cugan-rs -i input.webp -o output.webp
 ```
 
-完整帮助文档：
+完整帮助文本：
 
 ```console
 A Rust port of Real-CUGAN
@@ -24,16 +24,18 @@ Usage: real-cugan-rs [OPTIONS] --input-path <INPUT> --output-path <OUTPUT>
 Options:
   -i, --input-path <INPUT>    Input image path
   -o, --output-path <OUTPUT>  Output image path
-  -c, --use-cpu               Use CPU instead of GPU for inference
+  -C, --use-cpu               Use CPU instead of GPU for inference
   -m, --model-name <MODEL>    Filename of the model in `models` directory [default: pro-no-denoise-up2x.pth]
+  -a, --alpha <ALPHA>         Please check the documentation for this option [default: 1.0]
+  -t, --tile-size <TILE>      Tile size, smaller value can reduce memory usage
+      --no-cache              Disable cache
   -h, --help                  Print help
   -V, --version               Print version
 ```
 
-支持的图片格式：JPEG、PNG、WebP。
+支持的图片格式：BMP、JPEG、PNG、WebP。
 
 ### 注意事项
 
 - 目前仅支持 pro 模型的 2 倍超分。
-- 目前不支持切分图片后推理（仅支持直接使用整张图片进行推理）。
 - **欢迎 PR！**