彩票走势图

作为一个商业条码SDK，Dynamsoft Barcode Reader可以覆盖特殊条码类型。在这篇文章中，我们将简化ML Kit的样本并将其与Dynamsoft Barcode SDK集成，以比较ML Kit和Dynamsoft Barcode Reader。

本文直接上手对比两个SDK的下载安装和使用效率。

Barcode SDK Download

①  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：下载地址点击
解压SDK并复制文件DynamsoftBarcodeReaderAndroid.aar到项目库，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仓库，方法如下：

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

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

用谷歌ML套件扫描QR码， 这是一个优秀的样本应用程序，具有物体检测、人脸检测、文本识别、条形码扫描、图像标签、自定义图像标签、姿势检测和自拍分割的功能。

为了专注于静止图像的检测，我们只保留StillImageActivity，并在AndroidManifest.xml中把它设置为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>

我们创建一个dynamsoftbarcodescanner文件夹和两个类文件。DynamsoftBarcodeGraphic.java和DynamsoftBarcodeProcessor.java。
DynamsoftBarcodeGraphic类是用来绘制检测结果的：

@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();
    }
}

对比测试

我们使用同样的6张，来判断不同密度中两个SDK的效率。ML Kit的条形码扫描API对这些图像是无能为力的。ML Kit比Dynamsoft Barcode Reader花了更多的时间，却什么也没识别出来。相比之下，Dynamsoft Barcode Reader能够识别所有高密度的QR码图像。

本次实验使用到的源码