作為一個商業條碼SDK，Dynamsoft Barcode Reader可以覆蓋特殊條碼類型。在這篇文章中，我們將簡化ML Kit的樣本并將其與Dynamsoft Barcode SDK集成，以比較ML Kit和Dynamsoft Barcode Reader。

本文直接上手對比兩個SDK的下載安裝和使用效率。

Barcode SDK Download

①&nbsp; ML Kit: 在 AndroidManifest.xml添加: <meta-dataandroid:name="com.google.mlkit.vision.DEPENDENCIES"android:value="barcode"/>

在build.gradle添加：dependencies { implementation 'com.google.mlkit:barcode-scanning:17.0.0' }

你可以在生成的apk文件中找到模型文件 apk/assets/mlkit_barcode_models/barcode_ssd_mobilenet_v1_dmp25_quant.tflite

②  Dynamsoft Barcode Reader：下載地址點擊
解壓SDK并復制文件DynamsoftBarcodeReaderAndroid.aar到項目庫，并在build.gradle添加：dependencies { implementation fileTree(dir: 'libs', include: ['*.jar', '*.aar']) }

另外，您也可以在build.gradle文件中配置Maven倉庫，方法如下：

allprojects {
      repositories {
          google()
          jcenter()
          maven {
              url "http://download2.dynamsoft.com/maven/dbr/aar"
          }
      }
  }

  dependencies {
      implementation 'com.dynamsoft:dynamsoftbarcodereader:8.8.0@aar'
  }

用谷歌ML套件掃描QR碼， 這是一個優秀的樣本應用程序，具有物體檢測、人臉檢測、文本識別、條形碼掃描、圖像標簽、自定義圖像標簽、姿勢檢測和自拍分割的功能。

為了專注于靜止圖像的檢測，我們只保留StillImageActivity，并在AndroidManifest.xml中把它設置為LAUNCHER。

<activity
    android:name=".java.StillImageActivity"
    android:exported="true"
    android:theme="@style/AppTheme">
    <intent-filter>
        <action android:name="android.intent.action.MAIN"/>
        <category android:name="android.intent.category.LAUNCHER"/>
    </intent-filter>
</activity>

我們創建一個dynamsoftbarcodescanner文件夾和兩個類文件。DynamsoftBarcodeGraphic.java和DynamsoftBarcodeProcessor.java。
DynamsoftBarcodeGraphic類是用來繪制檢測結果的：

@Override
public void draw(Canvas canvas) {
    if (result == null) {
        throw new IllegalStateException("Attempting to draw a null barcode.");
    }

    // Draws the bounding box around the BarcodeBlock.
    Point[] points = result.localizationResult.resultPoints;
    int minx = points[0].x;
    int miny = points[0].y;
    int maxx = points[0].x;
    int maxy = points[0].y;
    for (int i = 1; i < 4; i++) {
        if (points[i].x < minx) {
            minx = points[i].x;
        }
        else if (points[i].x > maxx) {
            maxx = points[i].x;
        }

        if (points[i].y < miny) {
            miny = points[i].y;
        }
        else if (points[i].y > maxy) {
            maxy = points[i].y;
        }
    }
    RectF rect = new RectF(minx, miny, maxx, maxy);
    // If the image is flipped, the left will be translated to right, and the right to left.
    float x0 = translateX(rect.left);
    float x1 = translateX(rect.right);
    rect.left = min(x0, x1);
    rect.right = max(x0, x1);
    rect.top = translateY(rect.top);
    rect.bottom = translateY(rect.bottom);
    canvas.drawRect(rect, rectPaint);

    // Draws other object info.
    float lineHeight = TEXT_SIZE + (2 * STROKE_WIDTH);
    float textWidth = barcodePaint.measureText(result.barcodeText);
    canvas.drawRect(
            rect.left - STROKE_WIDTH,
            rect.top - lineHeight,
            rect.left + textWidth + (2 * STROKE_WIDTH),
            rect.top,
            labelPaint);
    // Renders the barcode at the bottom of the box.
    canvas.drawText(result.barcodeText, rect.left, rect.top - STROKE_WIDTH, barcodePaint);
}

@Override
public void processBitmap(Bitmap bitmap, final GraphicOverlay graphicOverlay) {
    try {
        long frameStartMs = SystemClock.elapsedRealtime();
        TextResult[] results = barcodeScanner.decodeBufferedImage(bitmap, "");
        long frameEndMs = SystemClock.elapsedRealtime();

        if (results != null) {
            for (int i = 0; i < results.length; ++i) {
                TextResult barcode = results[i];
                graphicOverlay.add(new DynamsoftBarcodeGraphic(graphicOverlay, barcode));
            }
            graphicOverlay.add(
                    new InferenceInfoGraphic(
                            graphicOverlay,
                            frameEndMs - frameStartMs,
                            frameEndMs - frameStartMs,
                            null));
        }

    } catch (IOException e) {
        e.printStackTrace();
    } catch (BarcodeReaderException e) {
        e.printStackTrace();
    }
}

對比測試

我們使用同樣的6張，來判斷不同密度中兩個SDK的效率。ML Kit的條形碼掃描API對這些圖像是無能為力的。ML Kit比Dynamsoft Barcode Reader花了更多的時間，卻什么也沒識別出來。相比之下，Dynamsoft Barcode Reader能夠識別所有高密度的QR碼圖像。

本次實驗使用到的源碼