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Fix modules/ typos

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Found using `codespell -q 3 -S ./3rdparty -L activ,amin,ang,atleast,childs,dof,endwhile,halfs,hist,iff,nd,od,uint`

backporting of commit: ec43292e1e
This commit is contained in:
luz.paz
2019-08-15 18:02:09 -04:00
committed by Alexander Alekhin
parent 7df3141bbc
commit fcc7d8dd4e
67 changed files with 83 additions and 83 deletions
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modules/dnn/include/opencv2/dnn/all_layers.hpp
+1 -1
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@@ -104,7 +104,7 @@ CV__DNN_EXPERIMENTAL_NS_BEGIN
h_t &= o_t \odot tanh(c_t), \\
c_t &= f_t \odot c_{t-1} + i_t \odot g_t, \\
@f}
where @f$\odot@f$ is per-element multiply operation and @f$i_t, f_t, o_t, g_t@f$ is internal gates that are computed using learned wights.
where @f$\odot@f$ is per-element multiply operation and @f$i_t, f_t, o_t, g_t@f$ is internal gates that are computed using learned weights.
Gates are computed as follows:
@f{eqnarray*}{
modules/dnn/include/opencv2/dnn/dnn.hpp
+1 -1
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@@ -428,7 +428,7 @@ CV__DNN_EXPERIMENTAL_NS_BEGIN
* @param inpPin descriptor of the second layer input.
*
* Descriptors have the following template <DFN>&lt;layer_name&gt;[.input_number]</DFN>:
* - the first part of the template <DFN>layer_name</DFN> is sting name of the added layer.
* - the first part of the template <DFN>layer_name</DFN> is string name of the added layer.
* If this part is empty then the network input pseudo layer will be used;
* - the second optional part of the template <DFN>input_number</DFN>
* is either number of the layer input, either label one.