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dnn: handle 4-channel images in blobFromImage (#9944)

This commit is contained in:
Vladislav Sovrasov
2017-10-27 14:06:53 +03:00
committed by Vadim Pisarevsky
parent e5766513a4
commit 5bf39ceb5d
3 changed files with 34 additions and 4 deletions
+2 -2
View File
@@ -688,7 +688,7 @@ CV__DNN_EXPERIMENTAL_NS_BEGIN
CV_EXPORTS_W Mat readTorchBlob(const String &filename, bool isBinary = true);
/** @brief Creates 4-dimensional blob from image. Optionally resizes and crops @p image from center,
* subtract @p mean values, scales values by @p scalefactor, swap Blue and Red channels.
* @param image input image (with 1- or 3-channels).
* @param image input image (with 1-, 3- or 4-channels).
* @param size spatial size for output image
* @param mean scalar with mean values which are subtracted from channels. Values are intended
* to be in (mean-R, mean-G, mean-B) order if @p image has BGR ordering and @p swapRB is true.
@@ -706,7 +706,7 @@ CV__DNN_EXPERIMENTAL_NS_BEGIN
/** @brief Creates 4-dimensional blob from series of images. Optionally resizes and
* crops @p images from center, subtract @p mean values, scales values by @p scalefactor,
* swap Blue and Red channels.
* @param images input images (all with 1- or 3-channels).
* @param images input images (all with 1-, 3- or 4-channels).
* @param size spatial size for output image
* @param mean scalar with mean values which are subtracted from channels. Values are intended
* to be in (mean-R, mean-G, mean-B) order if @p image has BGR ordering and @p swapRB is true.