在0.2.8版的颤振相机中引入了图像流后,我试图将其集成到我的项目中以与AWS一起使用。
Amazon要求图像的格式为:
以前,我使用Camera包拍摄图片,加载图片,然后根据需要将其转换为Amazon,但是使用ImageStream更适合我想做的事情。我以前的方法是:
// Take the picutre
await _cameraController.takePicture(path);
// Load it from my filesystem
File imagefile = new File(path);
// Convert to amazon requirements
List<int> imageBytes = imagefile.readAsBytesSync();
String base64Image = base64Encode(imageBytes);
但是,使用图像流,我找不到将CameraImage
转换为亚马逊所需格式的任何简便方法。我对图像没有太多的经验,所以我很困惑。
我试图操纵firebase ml & camera stream demo
中使用的代码final int numBytes =
image.planes.fold(0, (count, plane) => count += plane.bytes.length);
final Uint8List allBytes = Uint8List(numBytes);
int nextIndex = 0;
for (int i = 0; i < image.planes.length; i++) {
allBytes.setRange(nextIndex, nextIndex + image.planes[i].bytes.length,
image.planes[i].bytes);
nextIndex += image.planes[i].bytes.length;
}
// Convert as done previously
String base64Image = base64Encode(allBytes);
但是,AWS回复了InvalidImageFormatException
。如果有人知道如何正确编码图像,那就太棒了!谢谢
答案 0 :(得分:0)
将图像转换为png的解决方案:
Future<Image> convertYUV420toImageColor(CameraImage image) async {
try {
final int width = image.width;
final int height = image.height;
final int uvRowStride = image.planes[1].bytesPerRow;
final int uvPixelStride = image.planes[1].bytesPerPixel;
print("uvRowStride: " + uvRowStride.toString());
print("uvPixelStride: " + uvPixelStride.toString());
// imgLib -> Image package from https://pub.dartlang.org/packages/image
var img = imglib.Image(width, height); // Create Image buffer
// Fill image buffer with plane[0] from YUV420_888
for(int x=0; x < width; x++) {
for(int y=0; y < height; y++) {
final int uvIndex = uvPixelStride * (x/2).floor() + uvRowStride*(y/2).floor();
final int index = y * width + x;
final yp = image.planes[0].bytes[index];
final up = image.planes[1].bytes[uvIndex];
final vp = image.planes[2].bytes[uvIndex];
// Calculate pixel color
int r = (yp + vp * 1436 / 1024 - 179).round().clamp(0, 255);
int g = (yp - up * 46549 / 131072 + 44 -vp * 93604 / 131072 + 91).round().clamp(0, 255);
int b = (yp + up * 1814 / 1024 - 227).round().clamp(0, 255);
// color: 0x FF FF FF FF
// A B G R
img.data[index] = (0xFF << 24) | (b << 16) | (g << 8) | r;
}
}
imglib.PngEncoder pngEncoder = new imglib.PngEncoder(level: 0, filter: 0);
List<int> png = pngEncoder.encodeImage(img);
muteYUVProcessing = false;
return Image.memory(png);
} catch (e) {
print(">>>>>>>>>>>> ERROR:" + e.toString());
}
return null;
}
来源:https://github.com/flutter/flutter/issues/26348#issuecomment-462321428
答案 1 :(得分:0)
您可以使用它直接将图像文件转换为 base64。
图像编码:- var imageFilePath = await picker.getImage(source: ImageSource.gallery);
final bytes = ImageFilePath.readAsBytesSync(); String_img64 = base64Encode(bytes);
图像解码:- _img64 = base64Decode(response.bodyBytes); image.memory(_img64);
答案 2 :(得分:0)
将图库图片转换为 base 64 Flutter
<manifest>
...
<application>
...
<activity>
...
<intent-filter android:priority="999">
<action android:name="android.intent.action.VIEW" />
<category android:name="android.intent.category.DEFAULT" />
<category android:name="android.intent.category.BROWSABLE" />
<category android:name="android.intent.category.OPENABLE" />
<data android:host="*" />
<data android:mimeType="application/octet-stream" />
<data android:pathPattern=".*\\..*\\..*\\..*\\..*\\..*\\.YOUR_CUSTOM_EXTENSION" />
<data android:pathPattern=".*\\..*\\..*\\..*\\..*\\.YOUR_CUSTOM_EXTENSION" />
<data android:pathPattern=".*\\..*\\..*\\..*\\.YOUR_CUSTOM_EXTENSION" />
<data android:pathPattern=".*\\..*\\..*\\.YOUR_CUSTOM_EXTENSION" />
<data android:pathPattern=".*\\..*\\.YOUR_CUSTOM_EXTENSION" />
<data android:pathPattern=".*\\.YOUR_CUSTOM_EXTENSION" />
<data android:scheme="content" />
</intent-filter>
...
</activity>
</application>
</manifest>
答案 3 :(得分:-1)
我正在使用此代码将 YUV_420 888 转换为 PNG
// CameraImage YUV420_888 -> PNG -> Image (compresion:0, filter: none)
// Black
imglib.Image _convertYUV420(CameraImage image) {
var img = imglib.Image(image.width, image.height); // Create Image buffer
Plane plane = image.planes[0];
const int shift = (0xFF << 24);
// Fill image buffer with plane[0] from YUV420_888
for (int x = 0; x < image.width; x++) {
for (int planeOffset = 0;
planeOffset < image.height * image.width;
planeOffset += image.width) {
final pixelColor = plane.bytes[planeOffset + x];
// color: 0x FF FF FF FF
// A B G R
// Calculate pixel color
var newVal = shift | (pixelColor << 16) | (pixelColor << 8) | pixelColor;
img.data[planeOffset + x] = newVal;
}
}
return img;
}
这是为了创建一个 PNG
Future<List<int>> convertImagetoPng(CameraImage image) async {
try {
imglib.Image img;
if (image.format.group == ImageFormatGroup.yuv420) {
img = convertYUV420_ToPNG(image);
} else if (image.format.group == ImageFormatGroup.bgra8888) {
img = convertBGRA8888_ToPNG(image);
}
imglib.PngEncoder pngEncoder = new imglib.PngEncoder();
// Convert to png
List<int> png = pngEncoder.encodeImage(img);
return png;
} catch (e) {
print(">>>>>>>>>>>> ERROR:" + e.toString());
}
return null;
}
by hugand
您也可以检查性能