Trait opencv::core::prelude::SparseMatTrait[][src]

pub trait SparseMatTrait: SparseMatTraitConst {
Show 21 methods fn as_raw_mut_SparseMat(&mut self) -> *mut c_void; fn set_flags(&mut self, val: i32) { ... }
fn hdr(&mut self) -> SparseMat_Hdr { ... }
fn set_hdr(&mut self, val: &mut SparseMat_Hdr) { ... }
fn create(&mut self, dims: i32, _sizes: &i32, _type: i32) -> Result<()> { ... }
fn clear(&mut self) -> Result<()> { ... }
fn addref(&mut self) -> Result<()> { ... }
fn release(&mut self) -> Result<()> { ... }
fn ptr(
        &mut self,
        i0: i32,
        create_missing: bool,
        hashval: &mut size_t
    ) -> Result<*mut u8> { ... }
fn ptr_1(
        &mut self,
        i0: i32,
        i1: i32,
        create_missing: bool,
        hashval: &mut size_t
    ) -> Result<*mut u8> { ... }
fn ptr_2(
        &mut self,
        i0: i32,
        i1: i32,
        i2: i32,
        create_missing: bool,
        hashval: &mut size_t
    ) -> Result<*mut u8> { ... }
fn ptr_3(
        &mut self,
        idx: &i32,
        create_missing: bool,
        hashval: &mut size_t
    ) -> Result<*mut u8> { ... }
fn erase(&mut self, i0: i32, i1: i32, hashval: &mut size_t) -> Result<()> { ... }
fn erase_1(
        &mut self,
        i0: i32,
        i1: i32,
        i2: i32,
        hashval: &mut size_t
    ) -> Result<()> { ... }
fn erase_2(&mut self, idx: &i32, hashval: &mut size_t) -> Result<()> { ... }
fn begin_mut(&mut self) -> Result<SparseMatIterator> { ... }
fn end_mut(&mut self) -> Result<SparseMatIterator> { ... }
fn node_1(&mut self, nidx: size_t) -> Result<SparseMat_Node> { ... }
fn new_node(&mut self, idx: &i32, hashval: size_t) -> Result<*mut u8> { ... }
fn remove_node(
        &mut self,
        hidx: size_t,
        nidx: size_t,
        previdx: size_t
    ) -> Result<()> { ... }
fn resize_hash_tab(&mut self, newsize: size_t) -> Result<()> { ... }
}

Required methods

Provided methods

reallocates sparse matrix.

If the matrix already had the proper size and type, it is simply cleared with clear(), otherwise, the old matrix is released (using release()) and the new one is allocated.

sets all the sparse matrix elements to 0, which means clearing the hash table.

manually increments the reference counter to the header.

specialized variants for 1D, 2D, 3D cases and the generic_type one for n-D case. return pointer to the matrix element. - if the element is there (it’s non-zero), the pointer to it is returned - if it’s not there and createMissing=false, NULL pointer is returned - if it’s not there and createMissing=true, then the new element is created and initialized with 0. Pointer to it is returned - if the optional hashval pointer is not NULL, the element hash value is not computed, but *hashval is taken instead.

returns pointer to the specified element (1D case)

C++ default parameters
  • hashval: 0

returns pointer to the specified element (2D case)

C++ default parameters
  • hashval: 0

returns pointer to the specified element (3D case)

C++ default parameters
  • hashval: 0

returns pointer to the specified element (nD case)

C++ default parameters
  • hashval: 0

erases the specified element (2D case)

C++ default parameters
  • hashval: 0

erases the specified element (3D case)

C++ default parameters
  • hashval: 0

erases the specified element (nD case)

C++ default parameters
  • hashval: 0

return the sparse matrix iterator pointing to the first sparse matrix element

returns the sparse matrix iterator at the matrix beginning

return the sparse matrix iterator pointing to the element following the last sparse matrix element

returns the sparse matrix iterator at the matrix end

/////////// some internal-use methods ///////////////

Implementors