I have set the Capacitor camera plugin with the following options
const image = await Camera.getPhoto({
quality: 20,
width : 200,
height : 200,
allowEditing: false,
source: CameraSource.Camera,
resultType: CameraResultType.Base64
});
After that I take the base64 and upload it to the server. However I am getting images in the 2-5MB range of size (Android). Is there any way of reducing/compressing the size further?
Already checked this and other similar postings but they seem to adjust the size by reducing the quality param and the width and height (which are already low in my case)
I am working on an encoding flow that adds an overlay image to the video. I want this watermark to be in the bottom right corner. No matter what I try with the position parameter, the watermark is positioned in the top left.
Can someone point me to a sample that covers that scenario? The Microsoft docs and samples are vague about positioning the overlay and setting the opacity.
Here is a snippet of code that contains my transform definition. Regardless of the overlay settings, I can use any values for the rectangle position element and nothing changes. The watermark ends up in the upper right of the video. Its like the position and opacity properties are being ignored.
new AMSModels.TransformOutput(
new AMSModels.StandardEncoderPreset(
filters: new AMSModels.Filters
{
Overlays = new List<AMSModels.Overlay>
{
new AMSModels.VideoOverlay()
{
InputLabel = "tbvvideooverlay",
Opacity = .5,
Position = new AMSModels.Rectangle(){ Left = "100", Top = "100", Width = "100", Height = "100"} //**I've tried all types of values here including percentages, nothing changes when I reencode the video.**
}
}
},
codecs: new AMSModels.Codec[]
{
// Add an AAC Audio layer for the audio encoding
new AMSModels.AacAudio(
channels: 2,
samplingRate: 48000,
bitrate: 128000,
profile: AMSModels.AacAudioProfile.AacLc
),
// Next, add a H264Video for the video encoding
new AMSModels.H264Video (
// Set the GOP interval to 2 seconds for all H264Layers
keyFrameInterval:TimeSpan.FromSeconds(2),
// Add H264Layers. Assign a label that you can use for the output filename
layers: new AMSModels.H264Layer[]
{
new AMSModels.H264Layer (
bitrate: 3600000, // Units are in bits per second and not kbps or Mbps - 3.6 Mbps or 3,600 kbps
width: "1280",
height: "720",
label: "3600" // This label is used to modify the file name in the output formats
),
new AMSModels.H264Layer (
bitrate: 1600000, // Units are in bits per second and not kbps or Mbps - 1.6 Mbps or 1600 kbps
width: "960",
height: "540",
label: "1600" // This label is used to modify the file name in the output formats
),
new AMSModels.H264Layer (
bitrate: 600000, // Units are in bits per second and not kbps or Mbps - 0.6 Mbps or 600 kbps
width: "640",
height: "360",
label: "600" // This label is used to modify the file name in the output formats
),
}
),
// Also generate a set of PNG thumbnails
new AMSModels.PngImage(
start: "10%",
step: "10%",
range: "90%",
layers: new Microsoft.Azure.Management.Media.Models.PngLayer[]{
new AMSModels.PngLayer(
width: "100%",
height: "100%"
)
}
),
new AMSModels.JpgImage(
start: "10%",
step: "10%",
range: "90%",
layers: new Microsoft.Azure.Management.Media.Models.JpgLayer[]{
new AMSModels.JpgLayer(
quality: 100,
width: "100%",
height: "100%"
)
}
)
},
// Specify the format for the output files - one for video+audio, and another for the thumbnails
formats: new AMSModels.Format[]
{
// Mux the H.264 video and AAC audio into MP4 files, using basename, label, bitrate and extension macros
// Note that since you have multiple H264Layers defined above, you have to use a macro that produces unique names per H264Layer
// Either {Label} or {Bitrate} should suffice
new AMSModels.Mp4Format(
filenamePattern:"{Basename}_{Resolution}_{Bitrate}{Extension}"
),
new AMSModels.PngFormat(
filenamePattern:"Thumbnail-{Basename}-{Index}{Extension}"
),
new AMSModels.JpgFormat(
filenamePattern:"Thumbnail-{Basename}-{Index}{Extension}"
)
}
),
onError: AMSModels.OnErrorType.StopProcessingJob,
relativePriority: AMSModels.Priority.Normal
)
};
string description = "A simple custom encoding transform with 2 MP4 bitrates";
// Create the custom Transform with the outputs defined above
transform = await client.Transforms.CreateOrUpdateAsync(resourceGroupName, accountName, transformName, outputs, description);
}
Thank you!
Thank you very much for identifying this concern and pointing it out. We took a look at this and have confirmed that there is indeed a bug that you have found here! First off, thank you for finding this issue and reporting it.
Now the bad news, right now we are going to have to look at fixing that and redeploying a fix to production. That could take some time on our side, so if you are in need of a quick solution the only thing I can suggest is to use the older v2 API (yes, the one we announced deprecation on) to work around this issue until we can get a code fix out to production.
Here is the older method of doing this in v2 if that works for you - https://learn.microsoft.com/en-us/azure/media-services/previous/media-services-advanced-encoding-with-mes#overlay
Thanks for confirming this. I've already migrated and committed to v3 so turning back would be messy.
I am still working on it, but I do have a workaround that will get me by. If I make and image the same size as my largest video size, I can then position the watermark in the bottom right in that image. As long as its a transparent PNG, it "looks" like the watermark is bottom right justified.
I have to put this solution to the test across all the video assets I have, but so far I think it will work until the patch above will work. Once that is fixed, I plan on allowing our users to pick from a variety of watermarks.
Thanks again!
Eric
I have tried to increase the quality and resolution of the CanvasRecorder in HTML Element Recording using RecordRTC but it doesn't change. I need the highest video quality to record CSS animations inside an HTML element. Did I miss something?
Update: I have tried to increase the dpi/scale in html2canvas library by adding {scale: 2} as well but the video is still blurry.
Updated code:
https://jsfiddle.net/ztgqbu6x/
var options = {
type: 'canvas', // Mandatory STRING
video: {
width: 1920,
height: 1280
},
canvas: {
width: 1920,
height: 1280
},
timeSlice: 10,
// used by CanvasRecorder and WhammyRecorder
// it is kind of a "frameRate"
frameInterval: 90,
// used by CanvasRecorder and WhammyRecorder
// you can pass {width:640, height: 480} as well
//video: HTMLVideoElement,
// used by WebAssemblyRecorder
frameRate: 90,
// used by WebAssemblyRecorder
bitrate: 128000
};
var recorder = new RecordRTC(canvas2d, options);
Html2Canvas is not able to render multiple DIVs properly when
The number of DIVs increases significantly, OR
The size of each DIV increases significantly (then it fails with fewer number of DIVs)
I am using Html2Canvas Plugin to convert div (containing image) to canvas. I have implemented a recursive function to convert multiple images at a time (see code below).
JavaScript
//counter
var div_number = 0;
function image2canvas() {
var img2canvasObj = {
logging:true,
onrendered: function (canvas) {
canvas.id = "cvs" + div_number;
$("#canvasid").append(canvas);
//incrementing the counter
div_number = div_number + 1;
if (div_number <= 18) {
html2canvas($("#tempDivforpublishplan" + div_number), img2canvasObj);
}
if (div_number === 19) {
<Some Ajax Call>
}
}
};
html2canvas($("#Content_to_convert" + div_number), img2canvasObj);
}
The HTML for multiple images (which I am converting to canvas) is as follows. Note that I am using images as background of div elements. Each of these elements have a base64 string appended to the image URL which is used to convert the image to canvas.
HTML:
<div id="tempDivforpublishplan0" style='background: url("data:image/png;base64,iVBORw0KGgo…..") 0% 0% / 634px 2266.26px; width: 634px; height: 2266.26px; position: relative; cursor: auto;'> </div>
<div id="tempDivforpublishplan1" style='background: url("data:image/png;base64,iVBORw0KGgo…..") 0% 0% / 634px 2266.26px; width: 634px; height: 2266.26px; position: relative; cursor: auto;'> </div>
.
.
.
<div id="tempDivforpublishplan19" style='background: url("data:image/png;base64,iVBORw0KGgo…..") 0% 0% / 634px 2266.26px; width: 634px; height: 2266.26px; position: relative; cursor: auto;'> </div>
When image count is more, or the size and resolution of images is high, only few images are converted properly. Remaining images are either converted partially or not converted at all. Is there any workaround which can be used to fix this issue?
i have achieved this using callback and delay....
before calling your recursive function use delay and use callback as html2canvas is asynchronous call
I think you are having this trouble because you reach CanvasRenderer height limit during rendering. Assuming all your divs your page height is more than 40000px. Html2Canvas renders your page completely and then crops your div from it according to your div's position. You can see how big your canvas object is if you take a look throw your console having 'logging: true' in html2canvas options. Here is some more info about this subject: Maximum size of a <canvas> element
I use the plugin jbimages, everything goes ok but I need to set a defined width for image, width = 600px. Exists a solution?Help me please.Thnx
you can set the width in your css on the pages you upload them? for example if the images are all in a div wrapper , use
.wrapper img {
width: 600px;
height: auto;
}