Update README.md

README.md

@@ -1,47 +1,51 @@
-Converted from [wybxc/DocLayout-YOLO-DocStructBench-onnx](https://huggingface.co/wybxc/DocLayout-YOLO-DocStructBench-onnx)
-
-```ts
-import {
-  AutoProcessor,
-  RawImage,
-  AutoModel,
-  env,
-} from '@huggingface/transformers';
-
-
-const model = await AutoModel.from_pretrained('darknoah99/DocLayout-YOLO-DocStructBench-onnx');
-const processor = await AutoProcessor.from_pretrained('darknoah99/DocLayout-YOLO-DocStructBench-onnx', {});
-let image;
-if (isUrl(fileOrUrl)) image = await RawImage.fromURL(fileOrUrl);
-else if (fs.statSync(fileOrUrl).isFile()) {
-  const data = fs.readFileSync(fileOrUrl);
-  const blob = new Blob([data]);
-  image = await RawImage.fromBlob(blob);
-}
-const { pixel_values } = await processor(image);
-const output = await model({ images: pixel_values });
-const permuted = output.output0[0];
-const result = [];
-const threshold = 0.3;
-const [scaledHeight, scaledWidth] = pixel_values.dims.slice(-2);
-for (const [xc, yc, w, h, ...scores] of permuted.tolist()) {
-  const x1 = (xc / scaledWidth) * image.width;
-  const y1 = (yc / scaledHeight) * image.height;
-  const x2 = (w / scaledWidth) * image.width;
-  const y2 = (h / scaledHeight) * image.height;
-  const score = scores[0];
-  if (score > threshold) {
-    const label = model.config.id2label[scores[1]];
-    result.push({
-      x1,
-      x2,
-      y1,
-      y2,
-      score,
-      label,
-      index: scores[1],
-    });
-  }
-}
-console.log(result)
+---
+license: apache-2.0
+library_name: transformers.js
+---
+Converted from [wybxc/DocLayout-YOLO-DocStructBench-onnx](https://huggingface.co/wybxc/DocLayout-YOLO-DocStructBench-onnx)
+
+```ts
+import {
+  AutoProcessor,
+  RawImage,
+  AutoModel,
+  env,
+} from '@huggingface/transformers';
+
+
+const model = await AutoModel.from_pretrained('darknoah99/DocLayout-YOLO-DocStructBench-onnx');
+const processor = await AutoProcessor.from_pretrained('darknoah99/DocLayout-YOLO-DocStructBench-onnx', {});
+let image;
+if (isUrl(fileOrUrl)) image = await RawImage.fromURL(fileOrUrl);
+else if (fs.statSync(fileOrUrl).isFile()) {
+  const data = fs.readFileSync(fileOrUrl);
+  const blob = new Blob([data]);
+  image = await RawImage.fromBlob(blob);
+}
+const { pixel_values } = await processor(image);
+const output = await model({ images: pixel_values });
+const permuted = output.output0[0];
+const result = [];
+const threshold = 0.3;
+const [scaledHeight, scaledWidth] = pixel_values.dims.slice(-2);
+for (const [xc, yc, w, h, ...scores] of permuted.tolist()) {
+  const x1 = (xc / scaledWidth) * image.width;
+  const y1 = (yc / scaledHeight) * image.height;
+  const x2 = (w / scaledWidth) * image.width;
+  const y2 = (h / scaledHeight) * image.height;
+  const score = scores[0];
+  if (score > threshold) {
+    const label = model.config.id2label[scores[1]];
+    result.push({
+      x1,
+      x2,
+      y1,
+      y2,
+      score,
+      label,
+      index: scores[1],
+    });
+  }
+}
+console.log(result)
 ```