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Document histogram_equalization image input parameter #18

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Document histogram_equalization image input parameter #18

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3 changes: 2 additions & 1 deletion source/index.md
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Expand Up @@ -576,6 +576,7 @@ 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)
histogram_equalization | bool | yes | false | apply histogram equalization of input image
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)
Expand Down Expand Up @@ -982,6 +983,7 @@ height | int | yes | 227 | Resize images to height (`image` only)
crop_width | int | yes | 0 | Center crop images to width (`image` only)
crop_height | int | yes | 0 | Center crop images to height (`image` only)
bw | bool | yes | false | Treat images as black & white (Caffe only)
histogram_equalization | bool | yes | false | apply histogram equalization of input image
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)
Expand Down Expand Up @@ -1099,4 +1101,3 @@ Parameter | Type | Optional | Default | Description
--------- | ---- | -------- | ------- | -----------
inputblob | string | yes | data | network input blob name
outputblob | string | yes | depends on network type (ie prob or rnn_pred or probs or detection_out) | network output blob name