fix: input image transforms in API doc

docs/api.md

@@ -180,10 +180,15 @@ Parameter      | Type         | Optional | Default | Description
 ---------      | ----         | -------- | ------- | -----------
 width          | int          | yes      | 227     | Resize images to width (`image` only)
 height         | int          | yes      | 227     | Resize images to height (`image` only)
-bw             | bool         | yes      | false   | Treat images as black & white (Caffe only)
-mean           | float        | yes      | 128     | mean pixel value to be subtracted to input image (`tensorflow` only)
-mean           | array of int | yes      | N/A     | mean pixel value per channel to be subtracted to input image (`caffe` only)
-std            | float        | yes      | 128     | standard pixel value deviation to be applied to input image (`tensorflow` only)
+bw             | bool         | yes      | false   | Treat images as black & white
+rgb	       | bool	      | yes 	 | false   | Use RGB images
+histogram_equalization | bool | yes      | false   | Whether to equalize the image histogram
+mean           | float        | yes      | 128     | mean pixel value to be subtracted to input image
+mean           | array of int | yes      | N/A     | mean pixel value per channel to be subtracted to input image
+std            | float        | yes      | 128     | standard pixel value deviation to be applied to input image
+scale	       | float	      | yes	 | 1.0	   | whether to scale the size of an image
+scale_min      | float        | yes	 | 600     | min scaling dim size
+scale_max      | float        | yes      | 1000    | max scaling dim size
 segmentation   | bool         | yes      | false   | whether to setup an image connector for a segmentation task (`caffe` only)
 multi_label    | bool         | yes      | false   | whether to setup a multi label image task (`caffe` only)
 root_folder    | string       | yes      | false   | root folder for image data layer (i.e multi label image service for training with `caffe`)
@@ -561,6 +566,14 @@ Parameter    | Type | Optional | Default | Description
 width        | int  | yes      | 227     | Resize images to width (`image` only)
 height       | int  | yes      | 227     | Resize images to height (`image` only)
 bw           | bool | yes      | false   | Treat images as black & white (Caffe only)
+rgb	     | bool	       | yes 	 | false   | Use RGB images
+histogram_equalization | bool | yes      | false   | Whether to equalize the image histogram
+mean           | float        | yes      | 128     | mean pixel value to be subtracted to input image
+mean           | array of int | yes      | N/A     | mean pixel value per channel to be subtracted to input image
+std            | float        | yes      | 128     | standard pixel value deviation to be applied to input image
+scale	       | float	      | yes	 | 1.0	   | whether to scale the size of an image
+scale_min      | float        | yes	 | 600     | min scaling dim size
+scale_max      | float        | yes      | 1000    | max scaling dim size
 test_split   | real | yes      | 0       | Test split part of the dataset
 shuffle      | bool | yes      | false   | Whether to shuffle the training set (prior to splitting)
 seed         | int  | yes      | -1      | Shuffling seed for reproducible results (-1 for random seeding)