avgr | Chrome extension to show a class average | Browser Plugin library

Refer: Raymond Chen Discusses the Case of the Disappearing Cursor

These translucent windows, known as layered windows, are not normally included by the BitBlt function when reading pixels from the screen. In order to get them, you have to pass the CAPTUREBLT flag.

The mouse cursor is just another composition object and therefore would be captured by the CAPTUREBLT flag. To prevent this from happening during a screen capture, the composition engine has to hide the cursor, do the CAPTUREBLT, and then re-show the cursor.

Related case: Cursor disappears on bitblt

1. You are defining and zeroing avgGreen, avgBlue, and avgRed inside your inner for loop over k. You need to do that outside of that loop, but in the loop over j.

2. It's very strange to have a float counter. I would suggest using an int. But note that you still want to cast to float when where you do the division; otherwise the round function will have no effect (because the result of the division will always be truncated).

3. At the end, you refer to avgred, avgblue, and avggreen, but those are undefined. (Check the capitalization.)

4. The three lines where you assign the RGB values to image[i][j] are inside the for loop over h. They need to be outside that loop. They appear at a glance to be outside that loop because they are indented incorrectly. The } below those lines needs to be above them.

5. After those changes, your results should be functionally correct, but the processing will be quite slow. If you care about performance, you should avoid comparisons within inner loops. Comparison operations break the CPU's pipeline, which can be very slow. You have up to four compares in your inner loop. It would be better to do those comparisons outside the two inner loops, and instead to find the hMin, hMax, iMin, and iMax based on avoidance of running outside the pixel buffer. Then you can loop h from hMin to hMax and loop i from iMin to iMax, for much better speed.

There are various ways of handling 'edge' cases in an algorithm like yours. The code below uses the current 'row' or 'column' (instead of that above/below or left/right of it) if it's on the relevant edge:

The CEP library and MATCH_RECOGNIZE only work on top of the streaming API (and not batch), meaning that you need to use a StreamTableEnvironment rather than a BatchTableEnviroment.

You compare y < PicWidth, whereas you probably want y < PicHeight. Is the image it worked on square, by chance?

round() returns double, AVG() also returns double.

Better apply round after AVG:

If I understand your question, here is a code that can solve your question:

You don't want to multiple by the average. You want to scale the average so the largest value is 255. This is essentially pretending the the average color should be grey and then scaling. So if your average was [133.54055621951161, 133.85785501369506, 95.50769969447687] then white could be:

If you want the store with the maximum average salary, you can do something like this: