Struct cv::dnn::Conv2Int8Params#

#include <opencv2/dnn/all_layers.hpp>

Collaboration diagram for cv::dnn::Conv2Int8Params:

cv::dnn::Conv2Int8Params Node1 cv::dnn::Conv2Int8Params     Node2 std::string     Node2->Node1 +name Node3 std::basic_string< Char >     Node3->Node2 Node4 std::vector< int >     Node4->Node1 +dilations +pads +strides Node5 int     Node5->Node1 +input_zp +ngroups +output_zp Node5->Node4 +elements Node11 cv::Mat   + Mat() + Mat() + Mat() + Mat() + Mat() + Mat() + Mat() + Mat() + Mat() + Mat() and 152 more... + diag() + eye() + eye() + getDefaultAllocator() + getStdAllocator() + ones() + ones() + ones() + ones() + setDefaultAllocator() + zeros() + zeros() + zeros() + zeros() # forEach_impl() Node5->Node11 +cols +dims +dummy +flags +rows Node6 std::vector< T >     Node6->Node4 < int > Node7 T     Node7->Node6 +elements Node8 AutoPadding     Node8->Node1 +auto_pad Node9 bool     Node9->Node1 +ceil_mode +float_input +input_is_u8 +per_channel Node10 float     Node10->Node1 +input_sc +output_sc Node11->Node1 +bias +outputMultiplier +weights Node12 uint8_t     Node12->Node11 +data +dataend +datalimit +datastart Node13 cv::MatAllocator   + MatAllocator() + ~MatAllocator() + allocate() + allocate() + copy() + deallocate() + download() + getBufferPoolController() + map() + unmap() + upload() Node13->Node11 +allocator Node14 UMatData *     Node14->Node11 +u Node15 MatSize     Node15->Node11 +size Node16 MatStep     Node16->Node11 +step

cv::dnn::Conv2Int8Params Node1 cv::dnn::Conv2Int8Params     Node2 std::string     Node2->Node1 +name Node3 std::basic_string< Char >     Node3->Node2 Node4 std::vector< int >     Node4->Node1 +dilations +pads +strides Node5 int     Node5->Node1 +input_zp +ngroups +output_zp Node5->Node4 +elements Node11 cv::Mat   + Mat() + Mat() + Mat() + Mat() + Mat() + Mat() + Mat() + Mat() + Mat() + Mat() and 152 more... + diag() + eye() + eye() + getDefaultAllocator() + getStdAllocator() + ones() + ones() + ones() + ones() + setDefaultAllocator() + zeros() + zeros() + zeros() + zeros() # forEach_impl() Node5->Node11 +cols +dims +dummy +flags +rows Node6 std::vector< T >     Node6->Node4 < int > Node7 T     Node7->Node6 +elements Node8 AutoPadding     Node8->Node1 +auto_pad Node9 bool     Node9->Node1 +ceil_mode +float_input +input_is_u8 +per_channel Node10 float     Node10->Node1 +input_sc +output_sc Node11->Node1 +bias +outputMultiplier +weights Node12 uint8_t     Node12->Node11 +data +dataend +datalimit +datastart Node13 cv::MatAllocator   + MatAllocator() + ~MatAllocator() + allocate() + allocate() + copy() + deallocate() + download() + getBufferPoolController() + map() + unmap() + upload() Node13->Node11 +allocator Node14 UMatData *     Node14->Node11 +u Node15 MatSize     Node15->Node11 +size Node16 MatStep     Node16->Node11 +step

Member Data Documentation#

auto_pad#

AutoPadding cv::dnn::Conv2Int8Params::auto_pad = AUTO_PAD_NONE

bias#

Mat cv::dnn::Conv2Int8Params::bias

ceil_mode#

bool cv::dnn::Conv2Int8Params::ceil_mode = false

dilations#

std::vector< int > cv::dnn::Conv2Int8Params::dilations

float_input#

bool cv::dnn::Conv2Int8Params::float_input = false

input_is_u8#

bool cv::dnn::Conv2Int8Params::input_is_u8 = false

input_sc#

float cv::dnn::Conv2Int8Params::input_sc = 1.f

input_zp#

int cv::dnn::Conv2Int8Params::input_zp = 0

name#

String cv::dnn::Conv2Int8Params::name

ngroups#

int cv::dnn::Conv2Int8Params::ngroups = 1

output_sc#

float cv::dnn::Conv2Int8Params::output_sc = 1.f

output_zp#

int cv::dnn::Conv2Int8Params::output_zp = 0

outputMultiplier#

Mat cv::dnn::Conv2Int8Params::outputMultiplier

pads#

std::vector< int > cv::dnn::Conv2Int8Params::pads

per_channel#

bool cv::dnn::Conv2Int8Params::per_channel = true

strides#

std::vector< int > cv::dnn::Conv2Int8Params::strides

weights#

Mat cv::dnn::Conv2Int8Params::weights

Source file#

The documentation for this struct was generated from the following file: