Microfilm | 学习时做的一个app , 花了7天时间左右.如果不小心侵权了 , sorry , 联系我 , 我把它删除了 , 谢谢

After doing some web scraping i was finally able to get a string from a font body, and it comes out as follows

I'm using multiprocessing Pool to manage tesseract processes (OCRing pages of microfilm). Very often in a Pool of say 20 tesseract processes a few pages will be more difficult to OCR, and thus these processes are taking much much longer than the other ones. In the mean time, the pool is just hanging and most of the CPUs are not being leveraged. I want these stragglers to be left to continue, but I also want to start up more processes to fill up the many other CPUs that are now lying idle while these few sticky pages are finishing up. My question: is there a way to load up new processes to leverage those idle CPUs. In other words, can the empty spots in the Pool be filled before waiting for the whole pool to complete?

I could use the async version of starmap and then load up a new pool when the current pool has gone down to a certain number of living processes. But this seems inelegant. It would be more elegant to automagically keep slotting in processes as needed.

Here's what my code looks like right now:

I am trying to achieve this output

I want to show this text with in red box & red box mean with in container. right side is fine but left side having issues..

i tried this

I am new at this so please bear with me.

Earlier I was trying to import a very large CSV file using bulk insert without any batchsize, kilobytes_per_batch or row_per_batch arguments. I then hit upon the following error:

An error occurred while executing batch. Error message is: Exception of type 'System.OutOfMemoryException' was thrown.

I worked around this problem by splitting the CSV and importing it in chunks. As a result I ended up having two separate tables in SQL 2016 Server Management Studio. These two tables contain values from the CSV that had been split. They therefore have the same columns, column size, and data types. I decided to use a union all query to combine them. When I did the error came back. I then decided to increase the max server memory to 5 GB, which I think should be more than enough. However when I retried the union all query the error came back again anyways. My computer has 8 GB of RAM in total. I am using windows 10 64 bits and an x64 based processor.

The table's properties look like this: