{"id":1576,"date":"2023-06-25T15:08:49","date_gmt":"2023-06-25T07:08:49","guid":{"rendered":"https:\/\/www.zhidianwl.com\/zhidian\/?p=1576"},"modified":"2023-06-25T15:08:49","modified_gmt":"2023-06-25T07:08:49","slug":"app-inventor%e5%bc%80%e5%8f%91%e4%ba%ba%e8%84%b8%e8%af%86%e5%88%ab%e6%80%8e%e4%b9%88%e6%93%8d%e4%bd%9c","status":"publish","type":"post","link":"https:\/\/www.zhidianwl.com\/zhidian\/2023\/1576\/","title":{"rendered":"app inventor\u5f00\u53d1\u4eba\u8138\u8bc6\u522b\u600e\u4e48\u64cd\u4f5c?"},"content":{"rendered":"

App Inventor \u662f\u4e00\u6b3e\u7b80\u5355\u6613\u7528\u7684App\u5236\u4f5c\u8f6f\u4ef6\uff0c\u62e5\u6709\u4e30\u5bcc\u7684\u7ec4\u4ef6\u5e93\uff0c\u4e5f\u4e3a\u5f00\u53d1\u8005\u4eec\u63d0\u4f9b\u4e86\u7a0b\u5e8f\u8bbe\u8ba1\u4e0e\u5b9e\u73b0\u7684\u6846\u67b6\u3002\u4eba\u8138\u8bc6\u522b\u662f\u4e00\u79cd\u8ba1\u7b97\u673a\u56fe\u50cf\u5904\u7406\u6280\u672f\uff0c\u53ef\u4ee5\u81ea\u52a8\u68c0\u6d4b\u548c\u8bc6\u522b\u4eba\u8138\u3002\u672c\u6587\u5c06\u4ecb\u7ecd\u5982\u4f55\u5728 App Inventor \u4e2d\u5229\u7528\u56fe\u7247\u7ec4\u4ef6\u5b9e\u73b0\u4eba\u8138\u8bc6\u522b\u3002<\/p>\n

\u4eba\u8138\u8bc6\u522b\u539f\u7406<\/p>\n

\u4eba\u8138\u8bc6\u522b\u4e3b\u8981\u5206\u4e3a\u4e24\u4e2a\u9636\u6bb5:\u4eba\u8138\u68c0\u6d4b\u548c\u4eba\u8138\u8bc6\u522b\u3002\u5728\u8fd9\u91cc\u6211\u4eec\u53ea\u8bb2\u89e3\u4eba\u8138\u68c0\u6d4b\u7684\u539f\u7406\u3002<\/p>\n

\u4eba\u8138\u8bc6\u522b\u9700\u8981\u7528\u5230\u8ba1\u7b97\u673a\u89c6\u89c9\u548c\u6a21\u5f0f\u8bc6\u522b\u6280\u672f\u3002\u5176\u4e2d\u4eba\u8138\u68c0\u6d4b\u662f\u4eba\u8138\u8bc6\u522b\u7684\u7b2c\u4e00\u6b65\uff0c\u5176\u6838\u5fc3\u662f\u5bf9\u56fe\u50cf\u8fdb\u884c\u7279\u5f81\u5339\u914d\u3002\u4f20\u7edf\u7684\u4eba\u8138\u68c0\u6d4b\u7b97\u6cd5\u662f\u5229\u7528 Haar\u3001LBP\u7b49\u7b97\u6cd5\u5efa\u7acb\u4eba\u8138\u5206\u7c7b\u5668\uff0c\u5728\u4e00\u4e2a\u5927\u578b\u8bad\u7ec3\u6570\u636e\u96c6\u4e0a\u8fdb\u884c\u8bad\u7ec3\uff0c\u5c06\u4eba\u8138\u7684\u6b63\u9762\u56fe\u50cf\u548c\u975e\u4eba\u8138\u7684\u56fe\u50cf\u5206\u6210\u4e24\u4e2a\u7c7b\u522b\uff0c\u4e4b\u540e\u8f93\u5165\u4e00\u5f20\u4eba\u50cf\u56fe\u50cf\uff0c\u5206\u7c7b\u5668\u80fd\u591f\u81ea\u52a8\u8f93\u51fa\u5176\u6240\u5c5e\u7c7b\u522b\u3002\u4f46\u662f\u8fd9\u79cd\u7b97\u6cd5\u4e0d\u7a33\u5b9a\uff0c\u6613\u53d7\u4e0d\u540c\u5149\u7167\u3001\u9634\u5f71\u3001\u9762\u90e8\u906e\u6321\u3001\u62cd\u6444\u8ddd\u79bb\u7b49\u56e0\u7d20\u7684\u5f71\u54cd\uff0c\u56e0\u800c\u65e0\u6cd5\u6ee1\u8db3\u5b9e\u9645\u9700\u6c42\u3002\u5f97\u76ca\u4e8e\u6df1\u5ea6\u5b66\u4e60\u548c\u795e\u7ecf\u7f51\u7edc\u6280\u672f\u7684\u53d1\u5c55\uff0c\u73b0\u5728\u7684\u4eba\u8138\u68c0\u6d4b\u6280\u672f\u5f97\u5230\u4e86\u8f83\u5927\u7684\u63d0\u5347\uff0c\u5e76\u88ab\u5e7f\u6cdb\u5e94\u7528\u3002<\/p>\n

App Inventor \u5b9e\u73b0\u4eba\u8138\u8bc6\u522b<\/p>\n

\u5728 App Inventor \u4e2d\u5b9e\u73b0\u4eba\u8138\u8bc6\u522b\uff0c\u9700\u8981\u4f7f\u7528\u76f8\u5173\u7684\u7ec4\u4ef6\u548c API\u3002\u5177\u4f53\u6b65\u9aa4\u5982\u4e0b\uff1a<\/p>\n

1. \u521b\u5efa App Inventor \u9879\u76ee<\/p>\n

\u6253\u5f00 App Inventor\uff0c\u521b\u5efa\u4e00\u4e2a\u65b0\u9879\u76ee\u3002<\/p>\n

2. \u9009\u62e9\u56fe\u7247\u7ec4\u4ef6<\/p>\n

\u5728\u5de5\u5177\u7bb1\u4e2d\u9009\u62e9\u201c\u56fe\u7247\u201d\u7ec4\u4ef6\uff0c\u5c06\u5176\u62d6\u52a8\u5230\u8bbe\u8ba1\u9762\u677f\u4e2d\u3002<\/p>\n

3. \u62cd\u7167\u83b7\u53d6\u56fe\u7247<\/p>\n

\u5728\u754c\u9762\u4e0a\u6dfb\u52a0\u4e00\u4e2a\u201c\u62cd\u7167\u201d\u6309\u94ae\uff0c\u5e76\u4e3a\u5176\u8bbe\u7f6e\u4e8b\u4ef6\u5904\u7406\u7a0b\u5e8f\u3002\u5f53\u7528\u6237\u70b9\u51fb\u62cd\u7167\u6309\u94ae\u65f6\uff0c\u5c06\u4f1a\u8c03\u7528 Android Camera API\uff0c\u542f\u52a8\u76f8\u673a\u5e76\u62cd\u6444\u7167\u7247\uff0c\u7136\u540e\u5c06\u7167\u7247\u4f5c\u4e3a\u56fe\u7247\u7ec4\u4ef6\u7684\u56fe\u50cf\u8fdb\u884c\u663e\u793a\u3002\u5177\u4f53\u4ee3\u7801\u5982\u4e0b\uff1a<\/p>\n

\/\/ \u5b9a\u4e49\u56fe\u7247\u7ec4\u4ef6<\/p>\n

ImageView imageView;<\/p>\n<\/p>\n

\/\/ \u5b9a\u4e49\u62cd\u7167\u6309\u94ae<\/p>\n

Button button;<\/p>\n<\/p>\n

@Override<\/p>\n

protected void onCreate(Bundle savedInstanceState) {<\/p>\n

super.onCreate(savedInstanceState);<\/p>\n

setContentView(R.layout.activity_main);<\/p>\n<\/p>\n

\/\/ \u521d\u59cb\u5316\u63a7\u4ef6<\/p>\n

imageView = findViewById(R.id.imageView);<\/p>\n

button = findViewById(R.id.button);<\/p>\n<\/p>\n

\/\/ \u4e3a\u6309\u94ae\u8bbe\u7f6e\u70b9\u51fb\u4e8b\u4ef6<\/p>\n

button.setOnClickListener(new View.OnClickListener() {<\/p>\n

@Override<\/p>\n

public void onClick(View view) {<\/p>\n

\/\/ \u542f\u52a8\u76f8\u673a\u62cd\u7167\u5e76\u83b7\u53d6\u7167\u7247<\/p>\n

APP\u5f00\u53d1<\/a> Intent intent = new Intent(MediaStore.ACTION_IMAGE_CAPTURE);<\/p>\n

startActivityForResult(intent, REQUEST_CODE_CAMERA);<\/p>\n

}<\/p>\n

});<\/p>\n

}<\/p>\n<\/p>\n

\/\/ \u5904\u7406\u76f8\u673a\u56de\u4f20\u7684\u7ed3\u679c<\/p>\n

@Override<\/p>\n

protected void onActivityResult(int requestCode, int resultCode, Intent data) {<\/p>\n

super.onActivityResult(requestCode, resultCode, data);<\/p>\n

if (requestCode == REQUEST_CODE_CAMERA && resultCode == RESULT_OK && data != null) {<\/p>\n

\/\/ \u83b7\u53d6\u62cd\u7167\u7684\u7167\u7247<\/p>\n

Bundle bundle = data.getExtras();<\/p>\n

Bitmap bitmap = (Bitmap) bundle.get(“data”);<\/p>\n<\/p>\n

\/\/ \u8bbe\u7f6e\u5230\u56fe\u7247\u7ec4\u4ef6\u4e2d<\/p>\n

imageView.setImageBitmap(bitmap);<\/p>\n

}<\/p>\n

}<\/p>\n

4. \u52a0\u8f7d\u4eba\u8138\u68c0\u6d4b\u6a21\u578b<\/p>\n

\u4ece\u4e92\u8054\u7f51\u4e0a\u4e0b\u8f7d\u4e00\u4e2a\u4eba\u8138\u68c0\u6d4b\u6a21\u578b\uff0c\u5e76\u5c06\u5176\u4fdd\u5b58\u5230\u624b\u673a\u7684\u5185\u90e8\u5b58\u50a8\u7a7a\u95f4\u4e2d\u3002\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528 TensorFlow Lite \u6a21\u578b\u6765\u8fdb\u884c\u4eba\u8138\u68c0\u6d4b\u3002\u6b64\u5916\uff0c\u4e5f\u53ef\u4f7f\u7528\u5176\u4ed6\u7684\u4eba\u8138\u68c0\u6d4b\u7b97\u6cd5\uff0c\u5982 OpenCV \u4e2d\u7684\u4eba\u8138\u68c0\u6d4b\u7b97\u6cd5\u3002\u4e0b\u8f7d\u5b8c\u6210\u540e\uff0c\u5c06\u5176\u590d\u5236\u5230 App \u7684 assets \u76ee\u5f55\u4e0b\u3002<\/p>\n

5. \u8c03\u7528 TensorFlow Lite API<\/p>\n

\u5728 App \u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528 TensorFlow Lite API \u6765\u8fdb\u884c\u4eba\u8138\u68c0\u6d4b\u3002\u5177\u4f53\u6b65\u9aa4\u5982\u4e0b\uff1a<\/p>\n

\u9996\u5148\uff0c\u5728 build.gradle \u4e2d\u6dfb\u52a0\u4f9d\u8d56\u9879\uff1a<\/p>\n

dependencies {<\/p>\n

implementation ‘org.tensorflow:tensorflow-lite:2.2.0’<\/p>\n

}<\/p>\n

\u7136\u540e\uff0c\u5728\u4ee3\u7801\u4e2d\u52a0\u8f7d\u6a21\u578b\u6587\u4ef6\uff1a<\/p>\n

\/\/ \u52a0\u8f7d\u6a21\u578b\u6587\u4ef6<\/p>\n

private Interpreter interpreter;<\/p>\n

private void loadModel() {<\/p>\n

try {<\/p>\n

ByteBuffer buffer = loadModelFile(“detect.tflite”);<\/p>\n

interpreter = new Interpreter(buffer);<\/p>\n

} catch (IOException e) {<\/p>\n

e.printStackTrace();<\/p>\n

}<\/p>\n

}<\/p>\n

private ByteBuffer loadModelFile(String filename) throws IOException {<\/p>\n

AssetFileDescriptor fileDescriptor = getAssets().openFd(filename);<\/p>\n

FileInputStream inputStream = new FileInputStream(fileDescriptor.getFileDescriptor());<\/p>\n

FileChannel fileChannel = inputStream.getChannel();<\/p>\n

long startOffset = fileDescriptor.getStartOffset();<\/p>\n

long declaredLength = fileDescriptor.getDeclaredLength();<\/p>\n

return fileChannel.map(FileChannel.MapMode.READ_ONLY, startOffset, declaredLength);<\/p>\n

}<\/p>\n

\u6700\u540e\uff0c\u4f7f\u7528 TensorFlow Lite API \u8fdb\u884c\u4eba\u8138\u68c0\u6d4b\uff1a<\/p>\n

private void detectFace(Bitmap bitmap) {<\/p>\n

\/\/ \u5c06 Bitmap \u8f6c\u6362\u4e3a ByteBuffer<\/p>\n

ByteBuffer inputBuffer = convertBitmapToByteBuffer(bitmap);<\/p>\n

\/\/ \u5b9a\u4e49\u8f93\u51fa\u7f13\u51b2\u533a<\/p>\n

float[][][] output = new float[1][Constants.OUTPUT_SIZE][4];<\/p>\n

\/\/ \u8fdb\u884c\u4eba\u8138\u68c0\u6d4b<\/p>\n

interpreter.run(inputBuffer, output);<\/p>\n

\/\/ \u5904\u7406\u68c0\u6d4b\u7ed3\u679c<\/p>\n

List faces = new ArrayList();<\/p>\n

for (int i = 0; i <\/p>\n

float top = output[0][i][0] * bitmap.getHeight();<\/p>\n

float left = output[0][i][1] * bitmap.getWidth();<\/p>\n

float bottomAPP<\/a> = output[0][i][2] * bitmap.getHeight();<\/p>\n

float right = output[0][i][3] * bitmap.getWidth();<\/p>\n

RectF rectF = new RectF(left, top, right, bottom);<\/p>\n

if (rectF.width() > 0 && rectF.height() > 0) {<\/p>\n

faces.add(rectF);<\/p>\n

}<\/p>\n

}<\/p>\n

\/\/ \u5728\u56fe<\/p>\n

<\/figure>\n<\/p>\n

\u7247\u4e0a\u7ed8\u5236\u4eba\u8138\u533a\u57df<\/p>\n

imageView.setFaces(faces);<\/p>\n

}<\/p>\n

private ByteBuffer convertBitmapToByteBuffer(Bitmap bitmap) {<\/p>\n

ByteBuffer buffer = ByteBuffer.allocateDirect(Constants.INPUT_SIZE * Constants.INPUT_SIZE * 3 * 4);<\/p>\n

buffer.order(ByteOrder.nativeOrder());<\/p>\n

buffer.rewind();<\/p>\n

int[] pixels = new int[Constants.INPUT_SIZE * Constants.INPUT_SIZE];<\/p>\n

bitmap = Bitmap.createScaledBitmap(bitmap, Constants.INPUT_SIZE, Constants.INPUT_SIZE, true);<\/p>\n

bitmap.getPixels(pixels, 0, bitmap.getWidth(), 0, 0, bitmap.getWidth(), bitmap.getHeight());<\/p>\n

for (int i = 0; i <\/p>\n

buffer.putFloat(Color.red(pixels[i]) \/ 255.0f);<\/p>\n

buffer.putFloat(Color.green(pixels[i]) \/ 255.0f);<\/p>\n

buffer.putFloat(Color.blue(pixels[i]) \/ 255.0f);<\/p>\n

}<\/p>\n

buffer.rewind();<\/p>\n

return buffer;<\/p>\n

}<\/p>\n

\u5728 detectFace() \u65b9\u6cd5\u4e2d\uff0c\u9996\u5148\u5c06 Bitmap \u8f6c\u6362\u4e3a ByteBuffer\uff0c\u7136\u540e\u8c03\u7528 TensorFlow Lite API \u8fdb\u884c\u4eba\u8138\u68c0\u6d4b\uff0c\u6700\u540e\u5728\u56fe\u7247\u4e0a\u7ed8\u5236\u4eba\u8138\u533a\u57df\u3002<\/p>\n

\u7ed3\u8bba<\/p>\n

\u672c\u6587\u4ecb\u7ecd\u4e86\u5982\u4f55\u5728 App Inventor \u4e2d\u5b9e\u73b0\u4eba\u8138\u8bc6\u522b\u3002\u867d\u7136\u4f7f\u7528 TensorFlow Lite API \u8fdb\u884c\u4eba\u8138\u68c0\u6d4b\u6bd4\u8f83\u56f0\u96be\uff0c\u4f46\u5df2\u7ecf\u6709\u8bb8\u591a\u5f00\u6e90\u7684\u4eba\u8138\u8bc6\u522b\u5e93\uff0c\u5305\u62ec Dlib\u3001OpenCV\u3001face_recognition \u7b49\uff0c\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u8f7b\u677e\u5b9e\u73b0\u4eba\u8138\u8bc6\u522b\u529f\u80fd\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

App Inventor \u662f\u4e00\u6b3e\u7b80\u5355\u6613\u7528\u7684App\u5236\u4f5c\u8f6f\u4ef6\uff0c\u62e5\u6709\u4e30\u5bcc\u7684\u7ec4\u4ef6\u5e93\uff0c\u4e5f\u4e3a\u5f00\u53d1\u8005\u4eec\u63d0\u4f9b\u4e86\u7a0b\u5e8f\u8bbe\u8ba1\u4e0e\u5b9e\u73b0\u7684\u6846\u67b6\u3002\u4eba\u8138\u8bc6\u522b\u662f\u4e00\u79cd\u8ba1\u7b97\u673a\u56fe\u50cf\u5904\u7406\u6280\u672f\uff0c\u53ef\u4ee5\u81ea\u52a8\u68c0\u6d4b\u548c\u8bc6\u522b\u4eba\u8138\u3002\u672c\u6587\u5c06\u4ecb\u7ecd\u5982\u4f55\u5728 App<\/p>\n","protected":false},"author":9,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[807,3402,3401,3400,914],"class_list":["post-1576","post","type-post","status-publish","format-standard","hentry","category-zuoapp","tag-807","tag-app","tag-exe","tag-3400","tag-914"],"_links":{"self":[{"href":"https:\/\/www.zhidianwl.com\/zhidian\/wp-json\/wp\/v2\/posts\/1576","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.zhidianwl.com\/zhidian\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.zhidianwl.com\/zhidian\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.zhidianwl.com\/zhidian\/wp-json\/wp\/v2\/users\/9"}],"replies":[{"embeddable":true,"href":"https:\/\/www.zhidianwl.com\/zhidian\/wp-json\/wp\/v2\/comments?post=1576"}],"version-history":[{"count":0,"href":"https:\/\/www.zhidianwl.com\/zhidian\/wp-json\/wp\/v2\/posts\/1576\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.zhidianwl.com\/zhidian\/wp-json\/wp\/v2\/media?parent=1576"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.zhidianwl.com\/zhidian\/wp-json\/wp\/v2\/categories?post=1576"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.zhidianwl.com\/zhidian\/wp-json\/wp\/v2\/tags?post=1576"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}