我如何克服“权限拒绝......使用 ACTION_OPEN_DOCUMENT 或相关 API 获得访问权限"? [英] How do I overcome "Permission Denial....obtain access using ACTION_OPEN_DOCUMENT or related APIs"?
问题描述
我正在使用 react-native-firebase 和 react-native-document-picker 我正在尝试遵循 人脸检测教程.
I'm using react-native-firebase and react-native-document-picker and I'm trying to follow the face detection tutorial.
尽管通过 PermissionsAndroid 具有读取权限,但目前仍收到以下错误:
Currently getting the following error despite having read access through PermissionsAndroid:
权限拒绝:从 pid=4746, uid=10135 读取 com.android.provides.media.MediaDocumentsProvider uri [uri] 需要您使用 ACTION_OPEN_DOCUMENT 或相关 API 获取访问权限
我可以在屏幕上显示用户选择的图像,但 react-native-firebase 功能似乎无法获得许可.错误发生在这个调用中:const faces = await vision().faceDetectorProcessImage(localPath);
.
I am able to display the selected image by the user on the screen but the react-native-firebase functions seems to not be able to have permission. The error happens at this call: const faces = await vision().faceDetectorProcessImage(localPath);
.
有关如何授予人脸检测功能访问权限或我做错了什么的任何建议?
Any suggestions on how to give the face detection function access or what am I doing wrong?
我的 AndroidManifest.xml 文件包含以下内容:
My AndroidManifest.xml file contains the following:
<uses-permission android:name="android.permission.INTERNET" />
<uses-permission android:name="android.permission.CAMERA" />
<uses-permission android:name="android.permission.READ_EXTERNAL_STORAGE" />
<uses-permission android:name="android.permission.WRITE_EXTERNAL_STORAGE" />
这是该组件中的所有代码以供参考:
Here is all the code in that component for reference:
import React, {useState} from 'react';
import { Button, Text, Image, PermissionsAndroid } from 'react-native';
import vision, { VisionFaceContourType } from '@react-native-firebase/ml-vision';
import DocumentPicker from 'react-native-document-picker';
async function processFaces(localPath) {
console.log(localPath)
const faces = await vision().faceDetectorProcessImage(localPath);
console.log("Got faces")
faces.forEach(face => {
console.log('Head rotation on Y axis: ', face.headEulerAngleY);
console.log('Head rotation on Z axis: ', face.headEulerAngleZ);
console.log('Left eye open probability: ', face.leftEyeOpenProbability);
console.log('Right eye open probability: ', face.rightEyeOpenProbability);
console.log('Smiling probability: ', face.smilingProbability);
face.faceContours.forEach(contour => {
if (contour.type === VisionFaceContourType.FACE) {
console.log('Face outline points: ', contour.points);
}
});
});
}
async function pickFile () {
// Pick a single file
try {
const res = await DocumentPicker.pick({
type: [DocumentPicker.types.images],
});
console.log(
res.uri,
res.type, // mime type
res.name,
res.size
);
return res
} catch (err) {
if (DocumentPicker.isCancel(err)) {
// User cancelled the picker, exit any dialogs or menus and move on
console.log("User cancelled")
} else {
console.log("Error picking file or processing faces")
throw err;
}
}
}
const requestPermission = async () => {
try {
const granted = await PermissionsAndroid.request(
PermissionsAndroid.PERMISSIONS.READ_EXTERNAL_STORAGE,
{
title: "Files Permission",
message:
"App needs access to your files " +
"so you can run face detection.",
buttonNeutral: "Ask Me Later",
buttonNegative: "Cancel",
buttonPositive: "OK"
}
);
if (granted === PermissionsAndroid.RESULTS.GRANTED) {
console.log("We can now read files");
} else {
console.log("File read permission denied");
}
return granted
} catch (err) {
console.warn(err);
}
};
function FaceDetectionScreen ({navigation}) {
const [image, setImage] = useState("");
return (
<>
<Text>This is the Face detection screen.</Text>
<Button title="Select Image to detect faces" onPress={async () => {
const permission = await requestPermission();
if (permission === PermissionsAndroid.RESULTS.GRANTED) {
const pickedImage = await pickFile();
const pickedImageUri = pickedImage.uri
setImage(pickedImageUri);
processFaces(pickedImageUri).then(() => console.log('Finished processing file.'));
}
}}/>
<Image style={{flex: 1}} source={{ uri: image}}/>
</>
);
}
export default FaceDetectionScreen;
推荐答案
感谢 这个关于 github 问题的评论 我能够更新我的代码并通过将 processFaces 的前三行更新为:
Thanks to this comment on a github issue I was able to update my code and get it to work by updating the first three lines of processFaces as:
async function processFaces(contentUri) {
const stat = await RNFetchBlob.fs.stat(contentUri)
const faces = await vision().faceDetectorProcessImage(stat.path);
导入后从'rn-fetch-blob'导入RNFetchBlob
.
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