A set of Array objects (usually, used in Computer vision context)
Features
struct is used by computer vision functions to return the outcome of their operation. Typically, such output has the following Arrays:
While sharing this object with other threads, there is no need to wrap this in an Arc object unless only one such object is required to exist. The reason being that ArrayFire's internal details that are pointed to by the features handle are appropriately reference counted in thread safe manner. However, if these features are to be edited, then please do wrap the object using a Mutex or Read-Write lock.
impl Features
[src] impl<T> Any for T where
T: 'static + ?Sized,
[src] impl<T> Borrow<T> for T where
T: ?Sized,
[src] impl<T> BorrowMut<T> for T where
T: ?Sized,
[src] impl<T> From<T> for T
[src] pub fn from(t: T) -> T
[src]
Performs the conversion.
impl<T, U> Into<U> for T where
U: From<T>,
[src] pub fn into(self) -> U
[src]
Performs the conversion.
impl<T> ToOwned for T where
T: Clone,
[src] type Owned = T
The resulting type after obtaining ownership.
pub fn to_owned(&self) -> T
[src]
Creates owned data from borrowed data, usually by cloning. Read more
pub fn clone_into(&self, target: &mut T)
[src]
Uses borrowed data to replace owned data, usually by cloning. Read more
impl<T, U> TryFrom<U> for T where
U: Into<T>,
[src] impl<T, U> TryInto<U> for T where
U: TryFrom<T>,
[src]
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