watermark | Add watermark on images use HTML5 and Javascript | Computer Vision library
kandi X-RAY | watermark Summary
kandi X-RAY | watermark Summary
JQuery plugin Watermark help you seal batch of images, like a stamp tool. Because this plugin is written in HTML5 and Javascript, so it will operate without a server for image processing, bandwidth limit is no longer the thing you need to worry. Suitable uses for low-bandwidth web server, or web creation services, free forums without management server as Blogspot, Forumotion, ...
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of watermark
watermark Key Features
watermark Examples and Code Snippets
Lines of Code : 99
License : No License
Copyimport React from 'react';
import Watermark from 'react-awesome-watermark';
import styled from 'styled-components';
const H1 = styled.h1`
text-align: center;
`;
const H2 = styled.h2`
text-align: center;
margin-top: 50px;
`;
const H3 = styled image.addQuote("");
image.generateImageSync('.png')
//Properties of Watermark
watermark: WatermarkProperties = {
imageurl: string, // Path to Image URL/HTML
position: ImageGenerator.watermarkPosition.BOTTOMRIGHT | ImageGenerator.watermar resizePix: # resize task option
- 0 # no resize (original size)
- 1024 # resize images 1024 pixels
- 2048 # resize imag def watermark_photo(input_image_path,watermark_image_path,output_image_path):
base_image = Image.open(input_image_path)
watermark = Image.open(watermark_image_path).convert("RGBA")
# add watermark to your image
position = base_image.s def create_watermark(wm_text: str):
"""
Creates a watermark template.
"""
if wm_text:
# Generate the output to a memory buffer
output_buffer = BytesIO()
# Default Page Size = A4
c = canvas.Canvas(output def watermark_pdf(input_file: str, wm_text: str, pages: Tuple = None):
"""
Adds watermark to a pdf file.
"""
result, wm_buffer = create_watermark(wm_text)
if result:
wm_reader = PdfFileReader(wm_buffer)
pdf_reader Community Discussions
Trending Discussions on watermark
QUESTION
Ruby 3.0.3 Rails 7.0.0.alpha2 elasticsearch 7.17.1 searchkick 5.0.3
My tests are all passing on local but not on GitHub action and I don't know why...
Do you know how to show the details of the error 500?
This is a Capybara test
This is the config that I added
The results
...ANSWER
Answered 2022-Apr-04 at 09:01<500: Internal Server Error> indicates that some exception has been raised in your controller that wasn't properly rescued. If you can't reproduce the issue on your development environment you can:
- Either add a
begin..rescuein your controller's action, then inside the rescue do:p $ERROR_INFO.message($ERROR_INFOis a special variable that contains the last exception rescued, it's a more readable way to use$!
QUESTION
I want to add a watermark logo.png to the nature.jpg with ImageMagick, I use the following commands:
ANSWER
Answered 2022-Mar-24 at 13:49I would do that by loading the background, calculating the width of the logo relative to that (here I used 0.25 as my factor), then loading the logo and resizing before compositing:
QUESTION
Question summary: My expected result is to be able to frame the watermark diagonally and regardless of the width and height of the background image, it always fits within the limits and with dimensions that maintain the quality of the logo.
In order not to lose the quality of the image that I use as a watermark, I had to readjust its size from the width of the image where I am going to paste it, but as you can see in the image that I will publish below the code, when the image has a too small height, the watermark exceeds the limits of the image.
If I need to adjust the watermark according to the width of the other image to maintain the quality, how should I go about adjusting both the height and width so that the watermark fits perfectly inside the other image regardless of its height or width?
...ANSWER
Answered 2022-Feb-23 at 13:22I change your code like this:
QUESTION
I'm trying to configure an Azure Stream Analytics job, but consistently getting bad performance. I received data from a client system that pushes data into an Event Hub. And the ASA queries that into an Azure SQL database.
A few days ago I noticed that it was generating large amount of InputEventLateBeyondThreshold errors. Here an example out of the ASA. The Timestamp element is set by the client system.
...ANSWER
Answered 2022-Feb-23 at 04:42When you set up a 59 minutes out-of-order window, what you do is that you set up a 59 minutes buffer for that input. When records land in that buffer, they will wait 59 minutes until they get out. What you get in exchange, is that we have the opportunity to re-order these events so they will look in order to the job.
Using it at 1h is an extreme setting that will automatically give you 59minute of watermark, by definition. This is very surprising and I'm wondering why you need a value so high.
Edit
Now looking at the late arrival policy.
You are using an event time (TIMESTAMP BY timestamp) which means that your events can now be late, see this doc and this one.
What this means is that when a record comes later than 1h (so timestamp is older than 1h from the wall clock on our servers - in UTC), then we adjust its timestamp to our wall clock minus 1h, and send it to the query. It also means that your tumbling window always has to wait an additional hour to be sure it's not missing those late records.
Here what I would do is restore the default settings (no out of order, 5 seconds late events, adjust events). Then when you get InputEventLateBeyondThreshold, it means that that the job received a timestamp that was later in the past than 5 seconds. You're not losing the data, we are adjusting its system.timestamp to a more recent value (but not the timestamp field, we don't change it).
What we then need to understand is why does it take more than 5 seconds for a record in your pipeline to go from production to consumption. Is it because you have big delays in your ingestion pipeline, or because you have a time skew on your producer clock? Do you know?
QUESTION
We have micro service which consumes(subscribes)messages from 50+ RabbitMQ queues.
Producing message for this queue happens in two places
The application process when encounter short delayed execution business logic ( like send emails OR notify another service), the application directly sends the message to exchange ( which in turn it is sent to the queue ).
When we encounter long/delayed execution business logic We have
messagestable which has entries of messages which has to be executed after some time.
Now we have cron worker which runs every 10 mins which scans the messages table and pushes the messages to RabbitMQ.
Let's say the messages table has 10,000 messages which will be queued in next cron run,
- 9.00 AM - Cron worker runs and it queues 10,000 messages to RabbitMQ queue.
- We do have subscribers which are listening to the queue and start consuming the messages, but due to some issue in the system or 3rd party response time delay it takes each message to complete
1 Min. - 9.10 AM - Now cron worker once again runs next 10 Mins and see there are yet 9000+ messages yet to get completed and time is also crossed so once again it pushes 9000+ duplicates messages to Queue.
Note: The subscribers which consumes the messages are idempotent, so there is no issue in duplicate processing
Design Idea I had in my mind but not best logicI can have 4 status ( RequiresQueuing, Queued, Completed, Failed )
- Whenever a message is inserted i can set the status to
RequiresQueuing - Next when cron worker picks and pushes the messages successfully to Queue i can set it to
Queued - When subscribers completes it mark the queue status as
Completed / Failed.
There is an issue with above logic, let's say RabbitMQ somehow goes down OR in some use we have purge the queue for maintenance.
Now the messages which are marked as Queued is in wrong state, because they have to be once again identified and status needs to be changed manually.
Let say I have RabbitMQ Queue named ( events )
This events queue has 5 subscribers, each subscribers gets 1 message from the queue and post this event using REST API to another micro service ( event-aggregator ). Each API Call usually takes 50ms.
Use Case:
- Due to high load the numbers events produced becomes 3x.
- Also the micro service ( event-aggregator ) which accepts the event also became slow in processing, the response time increased from 50ms to 1 Min.
- Cron workers follows your design mentioned above and queues the message for each min. Now the queue is becoming too large, but i cannot also increase the number of subscribers because the dependent micro service ( event-aggregator ) is also lagging.
Now the question is, If keep sending the messages to events queue, it is just bloating the queue.
https://www.rabbitmq.com/memory.html - While reading this page, i found out that rabbitmq won't even accept the connection if it reaches high watermark fraction (default is 40%). Of course this can be changed, but this requires manual intervention.
So if the queue length increases it affects the rabbitmq memory, that is reason i thought of throttling at producer level.
Questions- How can i throttle my cron worker to skip that particular run or somehow inspect the queue and identify it already being heavily loaded so don't push the messages ?
- How can i handle the use cases i said above ? Is there design which solves my problem ? Is anyone faced the same issue ?
Thanks in advance.
AnswerCheck the accepted answer Comments for the throttling using queueCount
...ANSWER
Answered 2022-Feb-21 at 04:45You can combine QoS - (Quality of service) and Manual ACK to get around this problem. Your exact scenario is documented in https://www.rabbitmq.com/tutorials/tutorial-two-python.html. This example is for python, you can refer other examples as well.
Let says you have 1 publisher and 5 worker scripts. Lets say these read from the same queue. Each worker script takes 1 min to process a message. You can set QoS at channel level. If you set it to 1, then in this case each worker script will be allocated only 1 message. So we are processing 5 messages at a time. No new messages will be delivered until one of the 5 worker scripts does a MANUAL ACK.
If you want to increase the throughput of message processing, you can increase the worker nodes count.
The idea of updating the tables based on message status is not a good option, DB polling is the main reason that system uses queues and it would cause a scaling issue. At one point you have to update the tables and you would bottleneck because of locking and isolations levels.
QUESTION
I have a Structured Streaming pyspark program running on GCP Dataproc, which reads data from Kafka, and does some data massaging, and aggregation. I'm trying to use withWatermark(), and it is giving error.
Here is the code :
...ANSWER
Answered 2022-Feb-17 at 03:46As @ewertonvsilva mentioned, this was related to import error. specifically ->
QUESTION
I am trying to write a small Flink dataflow to understand more how it works and I am facing a strange situation where each time I run it, I am getting inconsistent outputs. Sometimes some records that I am expecting are missing. Keep in mind this is just a toy example I am building to learn the concepts of the DataStream API.
I have a dataset of around 7600 rows in CSV format like that look like this:
...ANSWER
Answered 2022-Feb-14 at 20:51Flink doesn't support per-key watermarking. Each parallel task generates watermarks independently, based on observing all of the events flowing through that task.
So the reason this isn't working with the forMonotonousTimestamps watermark strategy is that the input is not actually in order by timestamp. It is temporally sorted within each city, but not globally. This is then going to result in some records being late, but unpredictably so, depending on exactly when watermarks are generated. These late events are being ignored by the windows that should contain them.
You can address this in a number of ways:
(1) Use a forBoundedOutOfOrderness watermark strategy with a duration sufficient to account for the actual out-of-order-ness in the dataset. Given that the data looks something like this:
QUESTION
I am trying to do this guide Here React JS API, but I always just get a white screen with the here watermark and without a map and this error to.
...ANSWER
Answered 2022-Feb-02 at 15:44The way to resolve this issue is, add the react-app-rewired dependency to your project, and then add to your root folder a config-overrides.js file with the following contents:
QUESTION
I try to add a watermark using itext in pdf. it work without problem using this code :
...ANSWER
Answered 2022-Jan-27 at 15:23You use page.newContentStreamBefore() to add a content stream for your water mark. Thus, when the page is drawn, the watermark is drawn first and the content thereafter over it. For usual text and sparse vector graphics that is good but for full area covering content the watermark may be totally hidden.
Try to use page.newContentStreamAfter() instead. But beware, you may not want to bold the watermark text then anymore, probably even restrict to outline only, as the mark now covers content.
In a question update and a comment you asked how to
make the text transparent.
Transparency usually is achieved by selecting a matching extended graphics state, e.g.:
QUESTION
I have a dataframe of stock prices:
...ANSWER
Answered 2022-Jan-04 at 01:18Algorithm:
Find what current maximum previously observed value was at each row (inclusive of the current row).
See what the maximum previously observed value was for the preceding row.
Each time a difference exists between these two values, we know that a new water mark has been hit within the current row.
Calculate the cumulative sum of the number of times a new water mark has been hit.
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