拍摄的照片有竖条纹
Captured photo has vertical stripes
我正在使用 WinRT
Mediacapture class 拍摄照片,但是当我拍照时出现奇怪的透明条纹,这有点难以解释所以这里有一些照片:
捕获图片之前(预览)
拍照后
我在这里看到其他人也有同样的问题(比如 here,但他们的解决方案似乎对我不起作用。(要么没有结果,要么照片弄乱了向上)
我用来设置分辨率的代码:
System.Collections.Generic.IEnumerable<VideoEncodingProperties> available_resolutions = captureManager.VideoDeviceController.GetAvailableMediaStreamProperties(MediaStreamType.Photo).Select(x => x as VideoEncodingProperties);
foreach (VideoEncodingProperties resolution in available_resolutions)
{
if (resolution != null && resolution.Width == 640 && resolution.Height == 480) //(resolution.Width==1920 && resolution.Height==1080) //resolution.Width==640 && resolution.Height==480)
{
await captureManager.VideoDeviceController.SetMediaStreamPropertiesAsync(MediaStreamType.Photo, resolution);
}
}
我用来拍照的代码:
private async Task<BitmapImage> ByteArrayToBitmapImage(byte[] byteArray)
{
var bitmapImage = new BitmapImage();
using (var stream = new InMemoryRandomAccessStream())
{
await stream.WriteAsync(byteArray.AsBuffer());
stream.Seek(0);
await bitmapImage.SetSourceAsync(stream);
await stream.FlushAsync();
}
return bitmapImage;
}
/// <summary>
/// Relayed Execute method for TakePictureCommand.
/// </summary>
async void ExecuteTakePicture()
{
System.Diagnostics.Debug.WriteLine("Started making picture");
DateTime starttime = DateTime.Now;
ImageEncodingProperties format = ImageEncodingProperties.CreateJpeg();
using (var imageStream = new InMemoryRandomAccessStream())
{
await captureManager.CapturePhotoToStreamAsync(format, imageStream);
//Compresses the image if it exceedes the maximum file size
imageStream.Seek(0);
//Resize the image if needed
uint maxImageWidth = 640;
uint maxImageHeight = 480;
if (AvatarPhoto)
{
maxImageHeight = 200;
maxImageWidth = 200;
//Create a BitmapDecoder from the stream
BitmapDecoder resizeDecoder = await BitmapDecoder.CreateAsync(imageStream);
if (resizeDecoder.PixelWidth > maxImageWidth || resizeDecoder.PixelHeight > maxImageHeight)
{
//Resize the image if it exceedes the maximum width or height
WriteableBitmap tempBitmap = new WriteableBitmap((int)resizeDecoder.PixelWidth, (int)resizeDecoder.PixelHeight);
imageStream.Seek(0);
await tempBitmap.SetSourceAsync(imageStream);
WriteableBitmap resizedImage = tempBitmap.Resize((int)maxImageWidth, (int)maxImageHeight, WriteableBitmapExtensions.Interpolation.Bilinear);
tempBitmap = null;
//Assign to imageStream the resized WriteableBitmap
await resizedImage.ToStream(imageStream, BitmapEncoder.JpegEncoderId);
resizedImage = null;
}
//Converts the final image into a Base64 String
imageStream.Seek(0);
}
//Converts the final image into a Base64 String
imageStream.Seek(0);
BitmapDecoder decoder = await BitmapDecoder.CreateAsync(imageStream);
PixelDataProvider pixels = await decoder.GetPixelDataAsync();
byte[] bytes = pixels.DetachPixelData();
//Encode image
InMemoryRandomAccessStream encoded = new InMemoryRandomAccessStream();
BitmapEncoder encoder = await BitmapEncoder.CreateAsync(BitmapEncoder.JpegEncoderId, encoded);
encoder.SetPixelData(BitmapPixelFormat.Bgra8, BitmapAlphaMode.Ignore, maxImageWidth, maxImageHeight, decoder.DpiX, decoder.DpiY, bytes);
//Rotate the image based on the orientation of the camera
if (currentOrientation == DisplayOrientations.Portrait)
{
encoder.BitmapTransform.Rotation = BitmapRotation.Clockwise90Degrees;
}
else if (currentOrientation == DisplayOrientations.LandscapeFlipped)
{
encoder.BitmapTransform.Rotation = BitmapRotation.Clockwise180Degrees;
}
if (FrontCam)
{
if (currentOrientation == DisplayOrientations.Portrait)
{
encoder.BitmapTransform.Rotation = BitmapRotation.Clockwise270Degrees;
}
else if (currentOrientation == DisplayOrientations.LandscapeFlipped)
{
encoder.BitmapTransform.Rotation = BitmapRotation.Clockwise180Degrees;
}
}
await encoder.FlushAsync();
encoder = null;
//Read bytes
byte[] outBytes = new byte[encoded.Size];
await encoded.AsStream().ReadAsync(outBytes, 0, outBytes.Length);
encoded.Dispose();
encoded = null;
//Create Base64
image = await ByteArrayToBitmapImage(outBytes);
System.Diagnostics.Debug.WriteLine("Pixel width: " + image.PixelWidth + " height: " + image.PixelHeight);
base64 = Convert.ToBase64String(outBytes);
Array.Clear(outBytes, 0, outBytes.Length);
await imageStream.FlushAsync();
imageStream.Dispose();
}
DateTime endtime = DateTime.Now;
TimeSpan span = (endtime - starttime);
//Kind of a hacky way to prevent high RAM usage and even crashing, remove when overal RAM usage has been lowered
GC.Collect();
System.Diagnostics.Debug.WriteLine("Making the picture took: " + span.Seconds + " seconds");
if (image != null)
{
RaisePropertyChanged("CapturedImage");
//Tell both UsePictureCommand and ResetCommand that the situation has changed.
((RelayedCommand)UsePictureCommand).RaiseCanExecuteChanged();
((RelayedCommand)ResetCommand).RaiseCanExecuteChanged();
}
else
{
throw new InvalidOperationException("Imagestream is not valid");
}
}
如果有更多需要的信息欢迎评论,我会尽快发布,感谢阅读。
预览的纵横比必须与拍摄照片的纵横比相匹配,否则您会在拍摄中得到类似的伪像(尽管它实际上取决于驱动程序的实现,因此它可能因设备而异到设备)。
- 在
MediaStream.VideoPreview
上使用 MediaCapture.VideoDeviceController.GetMediaStreamProperties()
方法。
- 获取结果
VideoEncodingProperties
,并使用宽度和高度计算纵横比。
- 在
MediaStream.Photo
上调用 MediaCapture.VideoDeviceController.GetAvailableMediaStreamProperties()
,找出哪些长宽比匹配(我建议使用公差值,例如 0.015f
可能不错)
- 在符合要求的选项中,选择更适合您需求的一项,例如通过关注总分辨率 W * H
- 通过在
MediaStream.Photo
上调用 MediaCapture.VideoDeviceController.SetMediaStreamPropertiesAsync()
并传递所需的编码属性来应用您的选择。
更多信息见this thread. An SDK sample is available here。
我正在使用 WinRT
Mediacapture class 拍摄照片,但是当我拍照时出现奇怪的透明条纹,这有点难以解释所以这里有一些照片:
捕获图片之前(预览)
拍照后
我在这里看到其他人也有同样的问题(比如 here,但他们的解决方案似乎对我不起作用。(要么没有结果,要么照片弄乱了向上)
我用来设置分辨率的代码:
System.Collections.Generic.IEnumerable<VideoEncodingProperties> available_resolutions = captureManager.VideoDeviceController.GetAvailableMediaStreamProperties(MediaStreamType.Photo).Select(x => x as VideoEncodingProperties);
foreach (VideoEncodingProperties resolution in available_resolutions)
{
if (resolution != null && resolution.Width == 640 && resolution.Height == 480) //(resolution.Width==1920 && resolution.Height==1080) //resolution.Width==640 && resolution.Height==480)
{
await captureManager.VideoDeviceController.SetMediaStreamPropertiesAsync(MediaStreamType.Photo, resolution);
}
}
我用来拍照的代码:
private async Task<BitmapImage> ByteArrayToBitmapImage(byte[] byteArray)
{
var bitmapImage = new BitmapImage();
using (var stream = new InMemoryRandomAccessStream())
{
await stream.WriteAsync(byteArray.AsBuffer());
stream.Seek(0);
await bitmapImage.SetSourceAsync(stream);
await stream.FlushAsync();
}
return bitmapImage;
}
/// <summary>
/// Relayed Execute method for TakePictureCommand.
/// </summary>
async void ExecuteTakePicture()
{
System.Diagnostics.Debug.WriteLine("Started making picture");
DateTime starttime = DateTime.Now;
ImageEncodingProperties format = ImageEncodingProperties.CreateJpeg();
using (var imageStream = new InMemoryRandomAccessStream())
{
await captureManager.CapturePhotoToStreamAsync(format, imageStream);
//Compresses the image if it exceedes the maximum file size
imageStream.Seek(0);
//Resize the image if needed
uint maxImageWidth = 640;
uint maxImageHeight = 480;
if (AvatarPhoto)
{
maxImageHeight = 200;
maxImageWidth = 200;
//Create a BitmapDecoder from the stream
BitmapDecoder resizeDecoder = await BitmapDecoder.CreateAsync(imageStream);
if (resizeDecoder.PixelWidth > maxImageWidth || resizeDecoder.PixelHeight > maxImageHeight)
{
//Resize the image if it exceedes the maximum width or height
WriteableBitmap tempBitmap = new WriteableBitmap((int)resizeDecoder.PixelWidth, (int)resizeDecoder.PixelHeight);
imageStream.Seek(0);
await tempBitmap.SetSourceAsync(imageStream);
WriteableBitmap resizedImage = tempBitmap.Resize((int)maxImageWidth, (int)maxImageHeight, WriteableBitmapExtensions.Interpolation.Bilinear);
tempBitmap = null;
//Assign to imageStream the resized WriteableBitmap
await resizedImage.ToStream(imageStream, BitmapEncoder.JpegEncoderId);
resizedImage = null;
}
//Converts the final image into a Base64 String
imageStream.Seek(0);
}
//Converts the final image into a Base64 String
imageStream.Seek(0);
BitmapDecoder decoder = await BitmapDecoder.CreateAsync(imageStream);
PixelDataProvider pixels = await decoder.GetPixelDataAsync();
byte[] bytes = pixels.DetachPixelData();
//Encode image
InMemoryRandomAccessStream encoded = new InMemoryRandomAccessStream();
BitmapEncoder encoder = await BitmapEncoder.CreateAsync(BitmapEncoder.JpegEncoderId, encoded);
encoder.SetPixelData(BitmapPixelFormat.Bgra8, BitmapAlphaMode.Ignore, maxImageWidth, maxImageHeight, decoder.DpiX, decoder.DpiY, bytes);
//Rotate the image based on the orientation of the camera
if (currentOrientation == DisplayOrientations.Portrait)
{
encoder.BitmapTransform.Rotation = BitmapRotation.Clockwise90Degrees;
}
else if (currentOrientation == DisplayOrientations.LandscapeFlipped)
{
encoder.BitmapTransform.Rotation = BitmapRotation.Clockwise180Degrees;
}
if (FrontCam)
{
if (currentOrientation == DisplayOrientations.Portrait)
{
encoder.BitmapTransform.Rotation = BitmapRotation.Clockwise270Degrees;
}
else if (currentOrientation == DisplayOrientations.LandscapeFlipped)
{
encoder.BitmapTransform.Rotation = BitmapRotation.Clockwise180Degrees;
}
}
await encoder.FlushAsync();
encoder = null;
//Read bytes
byte[] outBytes = new byte[encoded.Size];
await encoded.AsStream().ReadAsync(outBytes, 0, outBytes.Length);
encoded.Dispose();
encoded = null;
//Create Base64
image = await ByteArrayToBitmapImage(outBytes);
System.Diagnostics.Debug.WriteLine("Pixel width: " + image.PixelWidth + " height: " + image.PixelHeight);
base64 = Convert.ToBase64String(outBytes);
Array.Clear(outBytes, 0, outBytes.Length);
await imageStream.FlushAsync();
imageStream.Dispose();
}
DateTime endtime = DateTime.Now;
TimeSpan span = (endtime - starttime);
//Kind of a hacky way to prevent high RAM usage and even crashing, remove when overal RAM usage has been lowered
GC.Collect();
System.Diagnostics.Debug.WriteLine("Making the picture took: " + span.Seconds + " seconds");
if (image != null)
{
RaisePropertyChanged("CapturedImage");
//Tell both UsePictureCommand and ResetCommand that the situation has changed.
((RelayedCommand)UsePictureCommand).RaiseCanExecuteChanged();
((RelayedCommand)ResetCommand).RaiseCanExecuteChanged();
}
else
{
throw new InvalidOperationException("Imagestream is not valid");
}
}
如果有更多需要的信息欢迎评论,我会尽快发布,感谢阅读。
预览的纵横比必须与拍摄照片的纵横比相匹配,否则您会在拍摄中得到类似的伪像(尽管它实际上取决于驱动程序的实现,因此它可能因设备而异到设备)。
- 在
MediaStream.VideoPreview
上使用MediaCapture.VideoDeviceController.GetMediaStreamProperties()
方法。 - 获取结果
VideoEncodingProperties
,并使用宽度和高度计算纵横比。 - 在
MediaStream.Photo
上调用MediaCapture.VideoDeviceController.GetAvailableMediaStreamProperties()
,找出哪些长宽比匹配(我建议使用公差值,例如0.015f
可能不错) - 在符合要求的选项中,选择更适合您需求的一项,例如通过关注总分辨率 W * H
- 通过在
MediaStream.Photo
上调用MediaCapture.VideoDeviceController.SetMediaStreamPropertiesAsync()
并传递所需的编码属性来应用您的选择。
更多信息见this thread. An SDK sample is available here。