[−][src]Struct opencv::dnn::TextDetectionModel
Base class for text detection networks
Implementations
impl TextDetectionModel
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pub fn as_raw_TextDetectionModel(&self) -> *const c_void
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pub fn as_raw_mut_TextDetectionModel(&mut self) -> *mut c_void
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Trait Implementations
impl Boxed for TextDetectionModel
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pub unsafe fn from_raw(ptr: *mut c_void) -> Self
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pub fn into_raw(self) -> *mut c_void
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pub fn as_raw(&self) -> *const c_void
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pub fn as_raw_mut(&mut self) -> *mut c_void
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impl Drop for TextDetectionModel
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impl ModelTrait for TextDetectionModel
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pub fn as_raw_Model(&self) -> *const c_void
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pub fn as_raw_mut_Model(&mut self) -> *mut c_void
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pub fn set_input_size(&mut self, size: Size) -> Result<Model>
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pub fn set_input_size_1(&mut self, width: i32, height: i32) -> Result<Model>
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pub fn set_input_mean(&mut self, mean: Scalar) -> Result<Model>
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pub fn set_input_scale(&mut self, scale: f64) -> Result<Model>
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pub fn set_input_crop(&mut self, crop: bool) -> Result<Model>
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pub fn set_input_swap_rb(&mut self, swap_rb: bool) -> Result<Model>
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pub fn set_input_params(
&mut self,
scale: f64,
size: Size,
mean: Scalar,
swap_rb: bool,
crop: bool
) -> Result<()>
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&mut self,
scale: f64,
size: Size,
mean: Scalar,
swap_rb: bool,
crop: bool
) -> Result<()>
pub fn predict(
&self,
frame: &dyn ToInputArray,
outs: &mut dyn ToOutputArray
) -> Result<()>
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&self,
frame: &dyn ToInputArray,
outs: &mut dyn ToOutputArray
) -> Result<()>
pub fn set_preferable_backend(&mut self, backend_id: Backend) -> Result<Model>
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pub fn set_preferable_target(&mut self, target_id: Target) -> Result<Model>
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pub fn get_network_(&self) -> Result<Net>
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pub fn get_network__1(&mut self) -> Result<Net>
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impl Send for TextDetectionModel
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impl TextDetectionModelTrait for TextDetectionModel
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pub fn as_raw_TextDetectionModel(&self) -> *const c_void
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pub fn as_raw_mut_TextDetectionModel(&mut self) -> *mut c_void
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pub fn detect(
&self,
frame: &dyn ToInputArray,
detections: &mut Vector<Vector<Point>>,
confidences: &mut Vector<f32>
) -> Result<()>
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&self,
frame: &dyn ToInputArray,
detections: &mut Vector<Vector<Point>>,
confidences: &mut Vector<f32>
) -> Result<()>
pub fn detect_1(
&self,
frame: &dyn ToInputArray,
detections: &mut Vector<Vector<Point>>
) -> Result<()>
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&self,
frame: &dyn ToInputArray,
detections: &mut Vector<Vector<Point>>
) -> Result<()>
pub fn detect_text_rectangles(
&self,
frame: &dyn ToInputArray,
detections: &mut Vector<RotatedRect>,
confidences: &mut Vector<f32>
) -> Result<()>
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&self,
frame: &dyn ToInputArray,
detections: &mut Vector<RotatedRect>,
confidences: &mut Vector<f32>
) -> Result<()>
pub fn detect_text_rectangles_1(
&self,
frame: &dyn ToInputArray,
detections: &mut Vector<RotatedRect>
) -> Result<()>
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&self,
frame: &dyn ToInputArray,
detections: &mut Vector<RotatedRect>
) -> Result<()>
Auto Trait Implementations
impl RefUnwindSafe for TextDetectionModel
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impl !Sync for TextDetectionModel
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impl Unpin for TextDetectionModel
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impl UnwindSafe for TextDetectionModel
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Blanket Implementations
impl<T> Any for T where
T: 'static + ?Sized,
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T: 'static + ?Sized,
impl<T> Borrow<T> for T where
T: ?Sized,
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T: ?Sized,
impl<T> BorrowMut<T> for T where
T: ?Sized,
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T: ?Sized,
pub fn borrow_mut(&mut self) -> &mut T
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impl<T> From<T> for T
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impl<T, U> Into<U> for T where
U: From<T>,
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U: From<T>,
impl<T, U> TryFrom<U> for T where
U: Into<T>,
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U: Into<T>,
type Error = Infallible
The type returned in the event of a conversion error.
pub fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>
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impl<T, U> TryInto<U> for T where
U: TryFrom<T>,
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U: TryFrom<T>,