移除一次性的抠图尺寸探针示例

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-08 04:03:10 +00:00
parent ba8662f844
commit c53d6ffef0
1 changed files with 0 additions and 104 deletions
@@ -1,104 +0,0 @@
-//! 探测 SegmentCommonImage 在小尺寸（480p 级）输入下 crop/mask 的输出尺寸行为。
-//!
-//! cargo run -p platform-matting --example crop_size_probe
-
-use std::io::Cursor;
-use std::path::Path;
-
-use image::{DynamicImage, GenericImage, ImageFormat, Rgba, RgbaImage};
-use platform_matting::{
-    DEFAULT_IMAGESEG_ENDPOINT, MattingClient, MattingConfig, SegmentCommonImageRequest,
-    SegmentReturnForm,
-};
-
-fn load_env_files() {
-    for candidate in [
-        ".env",
-        ".env.local",
-        ".env.secrets.local",
-        "../.env",
-        "../.env.local",
-        "../.env.secrets.local",
-    ] {
-        if Path::new(candidate).exists() {
-            let _ = dotenvy::from_path_override(candidate);
-        }
-    }
-}
-
-fn encode_png(image: &DynamicImage) -> Vec<u8> {
-    let mut buffer = Cursor::new(Vec::new());
-    image
-        .write_to(&mut buffer, ImageFormat::Png)
-        .expect("PNG 编码应成功");
-    buffer.into_inner()
-}
-
-#[tokio::main]
-async fn main() {
-    load_env_files();
-
-    let input_path = std::env::args().nth(1).unwrap_or_else(|| {
-        r"C:\Users\lingh\Downloads\gpt-image-2-elf-archer-2048x2048.png".to_string()
-    });
-    let source = image::open(&input_path).expect("测试图片应可解码");
-
-    // 变体1：等比缩到 480（模拟 1:1 480p 视频帧，主体居中）
-    let centered = source.resize(480, 480, image::imageops::FilterType::CatmullRom);
-
-    // 变体2：把 360 尺寸的主体贴到 640x480 画布左上角（模拟横版帧、主体偏移）
-    let small = source.resize(360, 360, image::imageops::FilterType::CatmullRom);
-    let corner_pixel = centered.to_rgba8().get_pixel(0, 0).0;
-    let mut offset_canvas = RgbaImage::from_pixel(640, 480, Rgba(corner_pixel));
-    offset_canvas
-        .copy_from(&small.to_rgba8(), 20, 40)
-        .expect("贴图应成功");
-    let offset = DynamicImage::ImageRgba8(offset_canvas);
-
-    let matting_config = MattingConfig::new(
-        std::env::var("ALIYUN_IMAGESEG_ENDPOINT")
-            .unwrap_or_else(|_| DEFAULT_IMAGESEG_ENDPOINT.to_string()),
-        std::env::var("ALIBABA_CLOUD_ACCESS_KEY_ID").expect("需要 ALIBABA_CLOUD_ACCESS_KEY_ID"),
-        std::env::var("ALIBABA_CLOUD_ACCESS_KEY_SECRET")
-            .expect("需要 ALIBABA_CLOUD_ACCESS_KEY_SECRET"),
-    )
-    .expect("抠图配置应有效");
-    let client = MattingClient::new(matting_config).expect("客户端应可构建");
-    let http_client = reqwest::Client::new();
-
-    for (label, variant) in [("居中480x480", &centered), ("偏移640x480", &offset)] {
-        let bytes = encode_png(variant);
-        let temp_url = client
-            .upload_temp_image(bytes, &format!("probe-{label}.png"), "image/png")
-            .await
-            .expect("上传临时桶应成功");
-
-        for return_form in [None, Some(SegmentReturnForm::Crop), Some(SegmentReturnForm::Mask)] {
-            let result = client
-                .segment_common_image(SegmentCommonImageRequest {
-                    image_url: temp_url.clone(),
-                    return_form,
-                })
-                .await
-                .expect("抠图调用应成功");
-            let output_bytes = http_client
-                .get(&result.image_url)
-                .send()
-                .await
-                .expect("下载结果应成功")
-                .bytes()
-                .await
-                .expect("读取结果字节应成功");
-            let output = image::load_from_memory(&output_bytes).expect("结果应可解码");
-            println!(
-                "{label} 输入 {}x{} -> {} 输出 {}x{} (alpha通道: {})",
-                variant.width(),
-                variant.height(),
-                return_form.map_or("默认(不传)".to_string(), |f| format!("{f:?}")),
-                output.width(),
-                output.height(),
-                output.color().has_alpha()
-            );
-        }
-    }
-}