Downsize | Tag safe text truncation for HTML and XML! | Parser library

Using flexbox may be more appropriate? note the margin-right on the first element in container 1, and margin-left on the second element in container 2. auto margins are quite powerful in flex containers.

This command makes it so that you can convert it in memory rather than saving the video to a local storage as mp4. You can remove the -movflags if you are formatting it as mpegts, but in the case of mp4 you need fragmented flag.

You have two options:

1. Choosing a better global threshold for the gray values. This is the easier less generic solution. Normally, people would choose the Otsu method to automatically select the optimal threshold. Have a look at: Opencv Thresholding Tutorial

   threshold, dst_img = cv2.threshold(img, 0, 255, cv2.THRESH_OTSU)

2. Using an adaptive threshold. Adaptive simply means using a calculated threshold for each sliding window location based on some criteria. Have a look at: Niblack's Binarization methods

Using option one:

Giving you a full response rather than a comment since you're new here and I don't want to discourage you with brevity which could be misunderstood.

1. Not sure what happened to your code when you pasted it in here, you've provided everything but the format is weird (the 'code' bit is missing out a few lines at the top and bottom). Might be one to double-check before posting. After posting, I see that someone else has already edited your code to fix this one.

2. You're missing a semi-colon. I'm not a fan of handing out answers, so I'll leave you to find it :) If you're running your code in an IDE, it should already be flagging that one up for you. If you're not, why on earth not??? IntelliJ is free, easy to get going with, and incredibly helpful. There are others out there as well which different folk prefer :) An IDE will help you spot all sorts of useful things quickly.

3. I have now run your code, and you do have a problem! It's in your final method, downsize(). Look very, very carefully at the return statement ;) Your questions suggests you aren't actually sure whether or not this method is right, which makes me wonder: have you actually run this code with different inputs to see what results you get? Please do that.

4. Style-wise: blank lines between methods would make the code easier to look at, by providing a visual gap between components. Please be consistent with putting your opening { on the same line as the method signature, and with having spaces between items, e.g. for (int i = 0; i < count; i++) rather than for (int i =0; i. The compiler couldn't care less, but it is easier for humans to look at and just makes it look like you did care. Always a good thing!

5. I think it is awesome that you are separating some of the work into smaller methods. Seriously. For extra brownie points, think about how you could move that while() block into its own method, e.g. private int[] getUserData(int numberOfItems, Scanner scanner). Your code is great without this, but the more you learn to write tiny units, the more favours you will be doing your future self.

6. Has your class looked at unit testing yet? Trust me, if not, when you get to this you will realise just how important point 5 can be. Unit tests will also help a lot with issues such as the one in point 3 above.

Long story short, you do not know how well the image will be compressed, because it depends a lot on what kind of image it is. That said, we can optimize your code.

Some optimizations:

• Approximate the number of bytes per pixel using the memory size and the image width.
• performing a ratio updated based on the new memory consumption and old memory consumption.

My coding solution applies both of the above methods, because applying them separately didn't seem to result in very stable convergence. The following sections will explain both part in more depth and show the test cases that I considered.

The following code approximates the new image dimensions based on the difference between the original file size (in bytes) and the preferred file size (in bytes). It will approximate the number of bytes per pixels and then applies the difference between the original bytes per pixel and the preferred bytes per pixel on the image width and height (therefore the square root is taken).

Then I use opencv-python (cv2) for the image rescaling, but that can be changed by your code.

Have you tried adding this to your .row

Animation properties will always override normal properties. You can use a CSS variable to override animation property.

var(--expected-variable-if-exist, default)

You can try subset + ave + duplicated like below

you can use to_dict to convert the column to dict records first, then assign to new column.