dnn: fix variance setting bug for PriorBoxLayer
authorWu Zhiwen <zhiwen.wu@intel.com>
Wed, 29 Aug 2018 03:47:13 +0000 (11:47 +0800)
committerWu Zhiwen <zhiwen.wu@intel.com>
Thu, 30 Aug 2018 03:05:38 +0000 (11:05 +0800)
commitca51bbb7ffe2c05379edd2b0078dddf05433b4d8
treedc5c3b514b9e40f3891c40bebfa2be158e0a44e9
parent087e9308eca6799f898ad3779e9307661eb5247f
dnn: fix variance setting bug for PriorBoxLayer

- The size of second channel should be size[2] of output tensor,
- The Scalar should be {variance[0], variance[0], variance[0], variance[0]}
  for _variance.size() == 1 case.

Signed-off-by: Wu Zhiwen <zhiwen.wu@intel.com>
modules/dnn/src/layers/prior_box_layer.cpp