Update about_processing_pipeline.md

docs/about_processing_pipeline.md

@@ -2,15 +2,15 @@
 
 imgproxy has a specific processing pipeline tuned for maximum performance. When you process an image with imgproxy, it does the following:
 
-* If the source image format allows shrink-on-load, imgproxy uses it to quickly resize the image to the size that is closest to desired;
-* If it is needed to resize an image with an alpha-channel, imgproxy premultiplies one to handle alpha correctly;
-* imgproxy resizes the image to the desired size;
-* If the image colorspace need to be fixed, imgproxy fixes it;
-* imgproxy rotates/flip the image according to EXIF metadata;
-* imgproxy crops the image using specified gravity;
-* imgproxy fills the image background if the background color was specified;
-* imgproxy applies gaussian blur and sharpen filters;
-* imgproxy adds watermark if one was specified;
+* If the source image format allows shrink-on-load, imgproxy uses it to quickly resize the image to the size that is closest to desired.
+* If it is needed to resize an image with an alpha-channel, imgproxy premultiplies one to handle alpha correctly.
+* imgproxy resizes the image to the desired size.
+* If the image colorspace need to be fixed, imgproxy fixes it.
+* imgproxy rotates/flip the image according to EXIF metadata.
+* imgproxy crops the image using the specified gravity.
+* imgproxy fills the image background if the background color was specified.
+* imgproxy applies gaussian blur and sharpen filters.
+* imgproxy adds a watermark if one was specified.
 * And finally, imgproxy saves the image to the desired format.
 
-This pipeline with using sequential access to source image data allows to significantly reduce memory and CPU usage — one of the reasons imgproxy is so performant.
+This pipeline, using sequential access to source image data, allows for significantly reduced memory and CPU usage — one of the reasons imgproxy is so performant.