Remove v3 badges from docs

docs/_sidebar.md

@@ -6,16 +6,16 @@
 * [Signing the URL](signing_the_url)
 * [Watermark](watermark)
 * [Presets](presets)
-* [Object detection<i class='badge badge-pro'></i><i class='badge badge-v3'></i>](object_detection)
-* [Autoquality<i class='badge badge-pro'></i><i class='badge badge-v3'></i>](autoquality)
-* [Chained pipelines<i class='badge badge-pro'></i><i class='badge badge-v3'></i>](chained_pipelines)
+* [Object detection<i class='badge badge-pro'></i>](object_detection)
+* [Autoquality<i class='badge badge-pro'></i>](autoquality)
+* [Chained pipelines<i class='badge badge-pro'></i>](chained_pipelines)
 * [Serving local files](serving_local_files)
 * [Serving files from Amazon S3](serving_files_from_s3)
 * [Serving files from Google Cloud Storage](serving_files_from_google_cloud_storage)
 * [Serving files from Azure Blob Storage](serving_files_from_azure_blob_storage)
 * [New Relic](new_relic)
 * [Prometheus](prometheus)
-* [Datadog<i class='badge badge-v3'></i>](datadog)
+* [Datadog](datadog)
 * [Image formats support](image_formats_support)
 * [About processing pipeline](about_processing_pipeline)
 * [Health check](healthcheck)

docs/assets/style.css

@@ -109,12 +109,6 @@ i.badge-pro::before {
   text-transform: uppercase;
 }
 
-i.badge-v3::before {
-  content: "v3";
-  color: #ff7401;
-  border-color: #ff7401;
-}
-
 h1 i.badge, h2 i.badge, h3 i.badge, h4 i.badge, .sidebar-nav i.badge {
   margin-left: .5ch;
 }

docs/autoquality.md

@@ -1,4 +1,4 @@
-# Autoquality<i class='badge badge-pro'></i><i class='badge badge-v3'></i>
+# Autoquality<i class='badge badge-pro'></i>
 
 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).
 

docs/chained_pipelines.md

@@ -1,4 +1,4 @@
-# Chained pipelines<i class='badge badge-pro'></i><i class='badge badge-v3'></i>
+# Chained pipelines<i class='badge badge-pro'></i>
 
 Though imgproxy's [processing pipeline](about_processing_pipeline.md) is suitable for most cases, sometimes it's handy to run multiple chained pipelines with different options.
 

docs/configuration.md

@@ -154,17 +154,17 @@ imgproxy can calculate the quality of the resulting image based on selected metr
 
 **⚠️Warning:** Autoquality requires the image to be saved several times. Use it only when you prefer the resulting size and quality over the speed.
 
-* `IMGPROXY_AUTOQUALITY_METHOD`: <i class='badge badge-pro'></i> <i class='badge badge-v3'></i> the method of quality calculation. Default: `none`
-* `IMGPROXY_AUTOQUALITY_TARGET`: <i class='badge badge-pro'></i> <i class='badge badge-v3'></i> desired value of the autoquality method metric. Default: 0.02
-* `IMGPROXY_AUTOQUALITY_MIN`: <i class='badge badge-pro'></i> <i class='badge badge-v3'></i> minimal quality imgproxy can use. Default: 70
-* `IMGPROXY_AUTOQUALITY_FORMAT_MIN`: <i class='badge badge-pro'></i> <i class='badge badge-v3'></i> the minimal quality imgproxy can use per format, comma divided. Example: `jpeg=70,avif=40,webp=60`. When value for the resulting format is not set, `IMGPROXY_AUTOQUALITY_MIN` value is used. Default: `avif=40`
-* `IMGPROXY_AUTOQUALITY_MAX`: <i class='badge badge-pro'></i> <i class='badge badge-v3'></i> the maximum quality imgproxy can use. Default: 80
-* `IMGPROXY_AUTOQUALITY_FORMAT_MAX`: <i class='badge badge-pro'></i> <i class='badge badge-v3'></i> the maximum quality imgproxy can use per format, comma divided. Example: `jpeg=70,avif=40,webp=60`. When a value for the resulting format is not set, the `IMGPROXY_AUTOQUALITY_MAX` value is used. Default: `avif=50`
-* `IMGPROXY_AUTOQUALITY_ALLOWED_ERROR`: <i class='badge badge-pro'></i> <i class='badge badge-v3'></i> the allowed `IMGPROXY_AUTOQUALITY_TARGET` error. Applicable only to `dssim` and `ml` methods. Default: 0.001
-* `IMGPROXY_AUTOQUALITY_MAX_RESOLUTION`: <i class='badge badge-pro'></i> <i class='badge badge-v3'></i> when this value is greater then zero and the resultant resolution exceeds the value, autoquality won't be used. Default: 0
-* `IMGPROXY_AUTOQUALITY_JPEG_NET`: <i class='badge badge-pro'></i> <i class='badge badge-v3'></i> the path to the neural network for JPEG.
-* `IMGPROXY_AUTOQUALITY_WEBP_NET`: <i class='badge badge-pro'></i> <i class='badge badge-v3'></i> the path to the neural network for WebP.
-* `IMGPROXY_AUTOQUALITY_AVIF_NET`: <i class='badge badge-pro'></i> <i class='badge badge-v3'></i> the path to the neural network for AVIF.
+* `IMGPROXY_AUTOQUALITY_METHOD`: <i class='badge badge-pro'></i> the method of quality calculation. Default: `none`
+* `IMGPROXY_AUTOQUALITY_TARGET`: <i class='badge badge-pro'></i> desired value of the autoquality method metric. Default: 0.02
+* `IMGPROXY_AUTOQUALITY_MIN`: <i class='badge badge-pro'></i> minimal quality imgproxy can use. Default: 70
+* `IMGPROXY_AUTOQUALITY_FORMAT_MIN`: <i class='badge badge-pro'></i> the minimal quality imgproxy can use per format, comma divided. Example: `jpeg=70,avif=40,webp=60`. When value for the resulting format is not set, `IMGPROXY_AUTOQUALITY_MIN` value is used. Default: `avif=40`
+* `IMGPROXY_AUTOQUALITY_MAX`: <i class='badge badge-pro'></i> the maximum quality imgproxy can use. Default: 80
+* `IMGPROXY_AUTOQUALITY_FORMAT_MAX`: <i class='badge badge-pro'></i> the maximum quality imgproxy can use per format, comma divided. Example: `jpeg=70,avif=40,webp=60`. When a value for the resulting format is not set, the `IMGPROXY_AUTOQUALITY_MAX` value is used. Default: `avif=50`
+* `IMGPROXY_AUTOQUALITY_ALLOWED_ERROR`: <i class='badge badge-pro'></i> the allowed `IMGPROXY_AUTOQUALITY_TARGET` error. Applicable only to `dssim` and `ml` methods. Default: 0.001
+* `IMGPROXY_AUTOQUALITY_MAX_RESOLUTION`: <i class='badge badge-pro'></i> when this value is greater then zero and the resultant resolution exceeds the value, autoquality won't be used. Default: 0
+* `IMGPROXY_AUTOQUALITY_JPEG_NET`: <i class='badge badge-pro'></i> the path to the neural network for JPEG.
+* `IMGPROXY_AUTOQUALITY_WEBP_NET`: <i class='badge badge-pro'></i> the path to the neural network for WebP.
+* `IMGPROXY_AUTOQUALITY_AVIF_NET`: <i class='badge badge-pro'></i> the path to the neural network for AVIF.
 
 ## AVIF/WebP support detection
 
@@ -227,12 +227,12 @@ imgproxy Pro can apply an unsharpening mask to your images.
 
 imgproxy can detect objects on the image and use them to perform smart cropping, to blur the detections, or to draw the detections.
 
-* `IMGPROXY_OBJECT_DETECTION_CONFIG`: <i class='badge badge-pro'></i> <i class='badge badge-v3'></i> the path to the neural network config. Default: blank
-* `IMGPROXY_OBJECT_DETECTION_WEIGHTS`: <i class='badge badge-pro'></i> <i class='badge badge-v3'></i> the path to the neural network weights. Default: blank
-* `IMGPROXY_OBJECT_DETECTION_CLASSES`: <i class='badge badge-pro'></i> <i class='badge badge-v3'></i> the path to the text file with the classes names, one per line. Default: blank
-* `IMGPROXY_OBJECT_DETECTION_NET_SIZE`: <i class='badge badge-pro'></i> <i class='badge badge-v3'></i> the size of the neural network input. The width and the heights of the inputs should be the same, so this config value should be a single number. Default: 416
-* `IMGPROXY_OBJECT_DETECTION_CONFIDENCE_THRESHOLD`: <i class='badge badge-pro'></i> <i class='badge badge-v3'></i> detections with confidences below this value will be discarded. Default: 0.2
-* `IMGPROXY_OBJECT_DETECTION_NMS_THRESHOLD`: <i class='badge badge-pro'></i> <i class='badge badge-v3'></i> non-max supression threshold. Don't change this if you don't know what you're doing. Default: 0.4
+* `IMGPROXY_OBJECT_DETECTION_CONFIG`: <i class='badge badge-pro'></i> the path to the neural network config. Default: blank
+* `IMGPROXY_OBJECT_DETECTION_WEIGHTS`: <i class='badge badge-pro'></i> the path to the neural network weights. Default: blank
+* `IMGPROXY_OBJECT_DETECTION_CLASSES`: <i class='badge badge-pro'></i> the path to the text file with the classes names, one per line. Default: blank
+* `IMGPROXY_OBJECT_DETECTION_NET_SIZE`: <i class='badge badge-pro'></i> the size of the neural network input. The width and the heights of the inputs should be the same, so this config value should be a single number. Default: 416
+* `IMGPROXY_OBJECT_DETECTION_CONFIDENCE_THRESHOLD`: <i class='badge badge-pro'></i> detections with confidences below this value will be discarded. Default: 0.2
+* `IMGPROXY_OBJECT_DETECTION_NMS_THRESHOLD`: <i class='badge badge-pro'></i> non-max supression threshold. Don't change this if you don't know what you're doing. Default: 0.4
 
 ## Fallback image
 
@@ -241,8 +241,8 @@ You can set up a fallback image that will be used in case imgproxy is unable to
 * `IMGPROXY_FALLBACK_IMAGE_DATA`: Base64-encoded image data. You can easily calculate it with `base64 tmp/fallback.png | tr -d '\n'`.
 * `IMGPROXY_FALLBACK_IMAGE_PATH`: the path to the locally stored image
 * `IMGPROXY_FALLBACK_IMAGE_URL`: the fallback image URL
-* `IMGPROXY_FALLBACK_IMAGE_HTTP_CODE`: the <i class='badge badge-v3'></i> HTTP code for the fallback image response. When set to zero, imgproxy will respond with the usual HTTP code. Default: `200`
-* `IMGPROXY_FALLBACK_IMAGES_CACHE_SIZE`: <i class='badge badge-pro'></i> <i class='badge badge-v3'></i> the size of custom fallback images cache. When set to `0`, the fallback image cache is disabled. 256 fallback images are cached by default.
+* `IMGPROXY_FALLBACK_IMAGE_HTTP_CODE`: the HTTP code for the fallback image response. When set to zero, imgproxy will respond with the usual HTTP code. Default: `200`
+* `IMGPROXY_FALLBACK_IMAGES_CACHE_SIZE`: <i class='badge badge-pro'></i> the size of custom fallback images cache. When set to `0`, the fallback image cache is disabled. 256 fallback images are cached by default.
 
 ## Skip processing
 
@@ -346,7 +346,7 @@ Check out the [Prometheus](prometheus.md) guide to learn more.
 
 imgproxy can send its metrics to Datadog:
 
-* `IMGPROXY_DATADOG_ENABLE`: <i class='badge badge-v3'></i> when `true`, enables sending metrics to Datadog. Default: false
+* `IMGPROXY_DATADOG_ENABLE`: when `true`, enables sending metrics to Datadog. Default: false
 
 Check out the [Datadog](datadog.md) guide to learn more.
 

docs/datadog.md

@@ -1,4 +1,4 @@
-# Datadog<i class='badge badge-v3'></i>
+# Datadog
 
 imgproxy can send its metrics to Datadog. To use this feature, do the following:
 

docs/generating_the_url.md

@@ -56,7 +56,7 @@ Defines how imgproxy will resize the source image. Supported resizing types are:
 
 * `fit`: resizes the image while keeping aspect ratio to fit a given size.
 * `fill`: resizes the image while keeping aspect ratio to fill a given size and crops projecting parts.
-* `fill-down`: <i class='badge badge-v3'></i> the same as `fill`, but if the resized image is smaller than the requested size, imgproxy will crop the result to keep the requested aspect ratio.
+* `fill-down`: the same as `fill`, but if the resized image is smaller than the requested size, imgproxy will crop the result to keep the requested aspect ratio.
 * `force`: resizes the image without keeping the aspect ratio.
 * `auto`: if both source and resulting dimensions have the same orientation (portrait or landscape), imgproxy will use `fill`. Otherwise, it will use `fit`.
 
@@ -95,7 +95,7 @@ Defines the height of the resulting image. When set to `0`, imgproxy will calcul
 
 Default: `0`
 
-### Min width<i class='badge badge-v3'></i> :id=min-width
+### Min width
 
 ```
 min-width:%width
@@ -108,7 +108,7 @@ Defines the minimum width of the resulting image.
 
 Default: `0`
 
-### Min height<i class='badge badge-v3'></i> :id=min-height
+### Min height
 
 ```
 min-height:%height
@@ -200,7 +200,7 @@ Default: `ce:0:0`
 **Special gravities**:
 
 * `gravity:sm`: smart gravity. `libvips` detects the most "interesting" section of the image and considers it as the center of the resulting image. Offsets are not applicable here.
-* `gravity:obj:%class_name1:%class_name2:...:%class_nameN`: <i class='badge badge-pro'></i> <i class='badge badge-v3'></i> object-oriented gravity. imgproxy [detects objects](object_detection.md) of provided classes on the image and calculates the resulting image center using their positions. If class names are omited, imgproxy will use all the detected objects.
+* `gravity:obj:%class_name1:%class_name2:...:%class_nameN`: <i class='badge badge-pro'></i> object-oriented gravity. imgproxy [detects objects](object_detection.md) of provided classes on the image and calculates the resulting image center using their positions. If class names are omited, imgproxy will use all the detected objects.
 * `gravity:fp:%x:%y`: the gravity focus point . `x` and `y` are floating point numbers between 0 and 1 that define the coordinates of the center of the resulting image. Treat 0 and 1 as right/left for `x` and top/bottom for `y`.
 
 ### Crop
@@ -393,7 +393,7 @@ ush:%mode:%weight:%dividor
 
 Allows redefining unsharpening options. All arguments have the same meaning as [Unsharpening](configuration.md#unsharpening) configs. All arguments are optional and can be omitted.
 
-### Blur detections<i class='badge badge-pro'></i><i class='badge badge-v3'></i> :id=blur-detections
+### Blur detections<i class='badge badge-pro'></i> :id=blur-detections
 
 ```
 blur_detections:%sigma:%class_name1:%class_name2:...:%class_nameN
@@ -404,7 +404,7 @@ imgproxy [detects objects](object_detection.md) of the provided classes and blur
 
 The value of `sigma` defines the size of the mask imgproxy will use.
 
-### Draw detections<i class='badge badge-pro'></i><i class='badge badge-v3'></i> :id=draw-detections
+### Draw detections<i class='badge badge-pro'></i> :id=draw-detections
 
 ```
 draw_detections:%draw:%class_name1:%class_name2:...:%class_nameN
@@ -505,7 +505,7 @@ Redefines quality of the resulting image, as a percentage. When set to `0`, qual
 
 Default: 0.
 
-### Format quality<i class='badge badge-v3'></i> :id=format-quality
+### Format quality
 
 ```
 format_quality:%format1:%quality1:%format2:%quality2:...:%formatN:%qualityN
@@ -514,7 +514,7 @@ fq:%format1:%quality1:%format2:%quality2:...:%formatN:%qualityN
 
 Adds or redefines `IMGPROXY_FORMAT_QUALITY` values.
 
-### Autoquality<i class='badge badge-pro'></i><i class='badge badge-v3'></i> :id=autoquality
+### Autoquality<i class='badge badge-pro'></i> :id=autoquality
 
 ```
 autoquality:%method:%target:%min_quality:%max_quality:%allowed_error
@@ -558,14 +558,14 @@ pngo:%interlaced:%quantize:%quantization_colors
 
 Allows redefining PNG saving options. All arguments have the same meaning as with the [Advanced PNG compression](configuration.md#advanced-png-compression) configs. All arguments are optional and can be omitted.
 
-<!-- ### GIF options<i class='badge badge-pro'></i> :id=gif-options
+### GIF options<i class='badge badge-pro'></i> :id=gif-options
 
 ```
 gif_options:%optimize_frames:%optimize_transparency
 gifo:%optimize_frames:%optimize_transparency
 ```
 
-Allows redefining GIF saving options. All arguments have the same meaning as with the [Advanced GIF compression](configuration.md#advanced-gif-compression) configs. All arguments are optional and can be omitted. -->
+Allows redefining GIF saving options. All arguments have the same meaning as with the [Advanced GIF compression](configuration.md#advanced-gif-compression) configs. All arguments are optional and can be omitted.
 
 ### Format
 
@@ -599,7 +599,7 @@ vts:%second
 
 Allows redefining `IMGPROXY_VIDEO_THUMBNAIL_SECOND` config.
 
-### Fallback image URL<i class='badge badge-pro'></i><i class='badge badge-v3'></i> :id=fallback-image-url
+### Fallback image URL<i class='badge badge-pro'></i> :id=fallback-image-url
 
 You can use a custom fallback image by specifying its URL with the `fallback_image_url` processing option:
 
@@ -612,7 +612,7 @@ The value of `url` is the Base64-encoded URL of the custom fallback image.
 
 Default: blank
 
-### Skip processing<i class='badge badge-v3'></i> :id=skip-processing
+### Skip processing
 
 ```
 skip_processing:%extension1:%extension2:...:%extensionN
@@ -640,7 +640,7 @@ It's highly recommended to prefer the `cachebuster` option over a URL query stri
 
 Default: empty
 
-### Expires<i class='badge badge-v3'></i> :id=expires
+### Expires
 
 ```
 expires:%timestamp

docs/object_detection.md

@@ -1,4 +1,4 @@
-# Object detection<i class='badge badge-pro'></i><i class='badge badge-v3'></i>
+# Object detection<i class='badge badge-pro'></i>
 
 imgproxy can detect objects on the image and use them for smart cropping, bluring the detections, or drawing the detections.