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c_src/modules/evision_backend/from_binary.h

#ifndef EVISION_BACKEND_FROM_BINARY_H
#define EVISION_BACKEND_FROM_BINARY_H
#include <erl_nif.h>
#include "../../ArgInfo.hpp"
#include "../evision_mat_utils.hpp"
// @evision c: mat_from_binary,evision_cv_mat_from_binary,1
// @evision nif: def mat_from_binary(_opts \\ []), do: :erlang.nif_error(:undefined)
static ERL_NIF_TERM evision_cv_mat_from_binary(ErlNifEnv *env, int argc, const ERL_NIF_TERM argv[]) {
using namespace cv;
ERL_NIF_TERM error_term = 0;
std::map<std::string, ERL_NIF_TERM> erl_terms;
int nif_opts_index = 0;
evision::nif::parse_arg(env, nif_opts_index, argv, erl_terms);
{
std::string t;
int l = 0;
int img_cols = 0;
int img_rows = 0;
int img_channels = 0;
Mat retval;
if (evision_to_safe(env, evision_get_kw(env, erl_terms, "t"), t, ArgInfo("t", 0)) &&
evision_to_safe(env, evision_get_kw(env, erl_terms, "l"), l, ArgInfo("l", 0)) &&
evision_to_safe(env, evision_get_kw(env, erl_terms, "cols"), img_cols, ArgInfo("cols", 0)) &&
evision_to_safe(env, evision_get_kw(env, erl_terms, "rows"), img_rows, ArgInfo("rows", 0)) &&
evision_to_safe(env, evision_get_kw(env, erl_terms, "channels"), img_channels, ArgInfo("channels", 0)))
{
ERL_NIF_TERM erl_binary = evision_get_kw(env, erl_terms, "binary");
ErlNifBinary data;
if (enif_inspect_binary(env, erl_binary, &data)) {
// validate binary data
int type = 0;
if (!get_binary_type(t, l, img_channels, type)) return evision::nif::error(env, "not implemented for the given type");
size_t declared_size = img_rows * img_cols * img_channels * (l/8);
if (declared_size != data.size) return evision::nif::error(env, "size mismatch");
evision_res<cv::Mat *> * res;
if (alloc_resource(&res)) {
if (_evision_binary_ref(erl_binary, res)) {
enif_release_resource(res);
return enif_make_badarg(env);
}
// https://docs.opencv.org/4.5.5/d3/d63/classcv_1_1Mat.html#a51615ebf17a64c968df0bf49b4de6a3a
// ...
// @param data Pointer to the user data.
// Matrix constructors that take data and step parameters do not allocate matrix data.
// Instead, they just initialize the matrix header that points to the specified data,
// which means that no data is copied. This operation is very efficient and can be used
// to process external data using OpenCV functions. The external data is not automatically
// deallocated, so you should take care of it.
res->val = new Mat(img_rows, img_cols, type, (void *)res->in_buf);
// transfer ownership to ERTS
ERL_NIF_TERM term = enif_make_resource(env, res);
enif_release_resource(res);
return _evision_make_mat_resource_into_map(env, *res->val, term);
} else {
return evision::nif::error(env, "no memory");
}
} else {
// invalid binary data
return enif_make_badarg(env);
}
}
}
if (error_term != 0) return error_term;
else return enif_make_badarg(env);
}
// @evision c: mat_from_binary_by_shape,evision_cv_mat_from_binary_by_shape,1
// @evision nif: def mat_from_binary_by_shape(_opts \\ []), do: :erlang.nif_error(:undefined)
static ERL_NIF_TERM evision_cv_mat_from_binary_by_shape(ErlNifEnv *env, int argc, const ERL_NIF_TERM argv[]) {
using namespace cv;
ERL_NIF_TERM error_term = 0;
std::map<std::string, ERL_NIF_TERM> erl_terms;
int nif_opts_index = 0;
evision::nif::parse_arg(env, nif_opts_index, argv, erl_terms);
{
std::string t;
int l = 0;
std::vector<int> shape;
if (evision_to_safe(env, evision_get_kw(env, erl_terms, "t"), t, ArgInfo("t", 0)) &&
evision_to_safe(env, evision_get_kw(env, erl_terms, "l"), l, ArgInfo("l", 0)) &&
evision_to_safe(env, evision_get_kw(env, erl_terms, "shape"), shape, ArgInfo("shape", 0))) {
ERL_NIF_TERM erl_binary = evision_get_kw(env, erl_terms, "binary");
ErlNifBinary data;
if (enif_inspect_binary(env, erl_binary, &data)) {
// validate binary data
int type = 0;
int ndims = (int)shape.size();
if (!get_binary_type(t, l, 0, type)) return evision::nif::error(env, "not implemented for the given type");
evision_res<cv::Mat *> * res;
if (alloc_resource(&res)) {
if (_evision_binary_ref(erl_binary, res)) {
enif_release_resource(res);
return enif_make_badarg(env);
}
// Mat(int ndims, const int* sizes, int type, void* data, const size_t* steps=0);
int * sizes = (int *)enif_alloc(sizeof(int) * ndims);
for (int i = 0; i < ndims; i++) {
sizes[i] = shape[i];
}
// https://docs.opencv.org/4.5.5/d3/d63/classcv_1_1Mat.html#a5fafc033e089143062fd31015b5d0f40
// ...
// @param data Pointer to the user data.
// Matrix constructors that take data and step parameters do not allocate matrix data.
// Instead, they just initialize the matrix header that points to the specified data,
// which means that no data is copied. This operation is very efficient and can be used
// to process external data using OpenCV functions. The external data is not automatically
// deallocated, so you should take care of it.
res->val = new Mat(ndims, sizes, type, (void *)res->in_buf);
enif_free((void *)sizes);
// transfer ownership to ERTS
ERL_NIF_TERM term = enif_make_resource(env, res);
enif_release_resource(res);
return _evision_make_mat_resource_into_map(env, *res->val, term);
} else {
return evision::nif::error(env, "no memory");
}
} else {
// invalid binary data
return enif_make_badarg(env);
}
}
}
if (error_term != 0) return error_term;
else return enif_make_badarg(env);
}
#endif // EVISION_BACKEND_FROM_BINARY_H