Loading .DS_Store 0 → 100644 +8 KiB File added.No diff preview for this file type. View file compress_start.py +1 −1 Original line number Original line Diff line number Diff line Loading @@ -73,7 +73,7 @@ if __name__ == '__main__': image = np.array(image)[1:,:] #Convert to an array, leaving out the first row because the first row is just housekeeping data image = np.array(image)[1:,:] #Convert to an array, leaving out the first row because the first row is just housekeeping data ar1, ar2 = image.shape ar1, ar2 = image.shape ind1, ind2 = np.random.randint(0,ar1), np.random.randint(0,ar2) #ind1 randomly selects a row, ind2 randomly selects a column, ind1, ind2 = np.random.randint(1,ar1-1), np.random.randint(1,ar2-1) #ind1 randomly selects a row, ind2 randomly selects a column, #this is now a random pixel selection within the image #this is now a random pixel selection within the image surrounding = [] #initialize a list to be filled the 8 surrounding pixels surrounding = [] #initialize a list to be filled the 8 surrounding pixels Loading images/.DS_Store 0 → 100644 +8 KiB File added.No diff preview for this file type. View file Loading
compress_start.py +1 −1 Original line number Original line Diff line number Diff line Loading @@ -73,7 +73,7 @@ if __name__ == '__main__': image = np.array(image)[1:,:] #Convert to an array, leaving out the first row because the first row is just housekeeping data image = np.array(image)[1:,:] #Convert to an array, leaving out the first row because the first row is just housekeeping data ar1, ar2 = image.shape ar1, ar2 = image.shape ind1, ind2 = np.random.randint(0,ar1), np.random.randint(0,ar2) #ind1 randomly selects a row, ind2 randomly selects a column, ind1, ind2 = np.random.randint(1,ar1-1), np.random.randint(1,ar2-1) #ind1 randomly selects a row, ind2 randomly selects a column, #this is now a random pixel selection within the image #this is now a random pixel selection within the image surrounding = [] #initialize a list to be filled the 8 surrounding pixels surrounding = [] #initialize a list to be filled the 8 surrounding pixels Loading
