python 3.x - Efficient way to implement multiprocessing or multi threading when image is divided into smaller grid and implementing text detection over each grid?

Question

Divided the single images into 10X10 grid On each grid, I need to implement text detection and get the results using tesseract. when I implement threads my CPU goes to 100% usage until this whole task is done and I get variation in response time if I call this program again and again. what is the efficient way to reduce cpu usage and results

for i in range(0,11):
     gridCol = gridCol[1:] +[i]
     #print("In Loop gridCol = ",gridCol)
     gridRow = startGridRow
     for j in range(0,11):
       gridRow = gridRow[1:] +[j]
       #print("In Loop gridRow = ",gridRow)
       total_grid.append([gridRow,gridCol])

for grid in total_grid:
   threads = threads + [self.executor.submit(self.textdetections, (grid[1],grid[0])])

question from:https://stackoverflow.com/questions/65939942/efficient-way-to-implement-multiprocessing-or-multi-threading-when-image-is-divi

Answer 1

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