Update autoquality.md

docs/autoquality.md

@@ -1,10 +1,10 @@
 # Autoquality<i class='badge badge-pro'></i><i class='badge badge-v3'></i>
 
-imgproxy can calculate quality for your resulting images so they fit the selected metric the best. The supported methods are [none](#none), [size](#autoquality-by-file-size), [dssim](#autoquality-by-dssim), and [ml](#autoquality-with-ml).
+imgproxy can calculate quality for your resultant images so they best fit the selected metric. The supported methods are [none](#none), [size](#autoquality-by-file-size), [dssim](#autoquality-by-dssim), and [ml](#autoquality-with-ml).
 
-**⚠️Warning:** Autoquality requires the image to be saved several times. Use it only when you prefer the resulting size and quality over the speed.
+**⚠️Warning:** Autoquality requires an image to be saved several times. Use it only when you prefer the resultant quality and size over speed.
 
-You can enable autoquality with [config](configuration.md#autoquality) (for all images) or with [processing options](generating_the_url.md#autoquality) (for each image individually).
+You can enable autoquality using [config options](configuration.md#autoquality) (for all images) or with [processing options](generating_the_url.md#autoquality) (for each image individually).
 
 ## None
 
@@ -26,11 +26,11 @@ IMGPROXY_AUTOQUALITY_METHOD="none"
 
 ## Autoquality by file size
 
-With this method, imgproxy will try to degrade the quality so your image fit the desired file size.
+With this method, imgproxy will try to degrade the quality so your image fits the desired file size.
 
 **Method name:** `size`
 
-**Target:** desired file size
+**Target:** the desired file size
 
 #### Config example
 
@@ -52,11 +52,11 @@ IMGPROXY_AUTOQUALITY_FORMAT_MAX="avif=50"
 
 ## Autoquality by DSSIM
 
-With this method imgproxy will try to select the quality so the saved image would have the desired [DSSIM](https://en.wikipedia.org/wiki/Structural_similarity#Structural_Dissimilarity) value.
+With this method imgproxy will try to select a level of quality so that the saved image will have the desired [DSSIM](https://en.wikipedia.org/wiki/Structural_similarity#Structural_Dissimilarity) value.
 
 **Method name:** `dssim`
 
-**Target:** desired DSSIM value
+**Target:** the desired DSSIM value
 
 #### Config example
 
@@ -81,13 +81,13 @@ IMGPROXY_AUTOQUALITY_FORMAT_MAX="avif=50"
 
 ## Autoquality with ML
 
-This method is almost the same as [DSSIM](#autoquality-by-dssim) but imgproxy will try to predict the initial quality using neural networks. Requires neural networs to be configured (see the config examlpe or the config documentation). If a neural network for the resulting format is not provided, [DSSIM](#autoquality-by-dssim) method will be used instead.
+This method is almost the same as autoquality with [DSSIM](#autoquality-by-dssim) but imgproxy will try to predict the initial quality using neural networks. This requires neural networks to be configured (see the config examlpe or the config documentation). If a neural network for the resulting format is not provided, the [DSSIM](#autoquality-by-dssim) method will be used instead.
 
-**📝Note:** When this method is used, imgproxy will save JPEG images with the most optimal [advanced JPEG compression](configuration.md#advanced-jpeg-compression) settings ignoring config and processing options.
+**📝Note:** When this method is used, imgproxy will save JPEG images with the most optimal [advanced JPEG compression](configuration.md#advanced-jpeg-compression) settings, ignoring config and processing options.
 
 **Method name:** `ml`
 
-**Target:** desired DSSIM value
+**Target:** the desired DSSIM value
 
 #### Config example
 
@@ -108,7 +108,7 @@ IMGPROXY_AUTOQUALITY_WEBP_NET="/networks/autoquality-webp.pb"
 IMGPROXY_AUTOQUALITY_AVIF_NET="/networks/autoquality-avif.pb"
 ```
 
-**📝Note:** If you trust your autoquality neural network, you may want to set `IMGPROXY_AUTOQUALITY_ALLOWED_ERROR` to 1 (maximum possible DSSIM value). In this case, imgproxy will always use the quality predicted by the neural network.
+**📝Note:** If you trust your neural network's autoquality, you may want to set `IMGPROXY_AUTOQUALITY_ALLOWED_ERROR` to 1 (the maximum possible DSSIM value). In this case, imgproxy will always use the quality predicted by the neural network.
 
 #### Processing options example
 
@@ -118,10 +118,10 @@ IMGPROXY_AUTOQUALITY_AVIF_NET="/networks/autoquality-avif.pb"
 
 ### Neural networks format
 
-Neural networs should fit the following requirements:
-* Tensorflow frozen graph format.
-* Input layer size is 416x416.
+Neural networks should fit the following requirements:
+* Tensorflow frozen graph format
+* Input layer size is 416x416
 * Output layer size is 1x100
-* Output layer values are logits of quality probabilities.
+* Output layer values are logits of quality probabilities
 
-If you're an imgproxy Pro user and you want to train your own network but you don't know how, feel free to contact the imgproxy team for intructions.
+If you're an imgproxy Pro user and you want to train your own network but you don't know how, feel free to contact the imgproxy team for instructions.