[−][src]Type Definition opencv::types::PtrOfEM
type PtrOfEM = Ptr<dyn EM>;
Implementations
impl PtrOfEM
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pub fn as_raw_PtrOfEM(&self) -> *const c_void
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pub fn as_raw_mut_PtrOfEM(&mut self) -> *mut c_void
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Trait Implementations
impl AlgorithmTrait for PtrOfEM
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pub fn as_raw_Algorithm(&self) -> *const c_void
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pub fn as_raw_mut_Algorithm(&mut self) -> *mut c_void
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pub fn clear(&mut self) -> Result<()>
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pub fn write(&self, fs: &mut FileStorage) -> Result<()>
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pub fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>
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pub fn read(&mut self, fn_: &FileNode) -> Result<()>
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pub fn empty(&self) -> Result<bool>
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pub fn save(&self, filename: &str) -> Result<()>
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pub fn get_default_name(&self) -> Result<String>
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impl EM for PtrOfEM
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pub fn as_raw_EM(&self) -> *const c_void
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pub fn as_raw_mut_EM(&mut self) -> *mut c_void
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pub fn get_clusters_number(&self) -> Result<i32>
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pub fn set_clusters_number(&mut self, val: i32) -> Result<()>
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pub fn get_covariance_matrix_type(&self) -> Result<i32>
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pub fn set_covariance_matrix_type(&mut self, val: i32) -> Result<()>
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pub fn get_term_criteria(&self) -> Result<TermCriteria>
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pub fn set_term_criteria(&mut self, val: TermCriteria) -> Result<()>
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pub fn get_weights(&self) -> Result<Mat>
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pub fn get_means(&self) -> Result<Mat>
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pub fn get_covs(&self, covs: &mut Vector<Mat>) -> Result<()>
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pub fn predict(
&self,
samples: &dyn ToInputArray,
results: &mut dyn ToOutputArray,
flags: i32
) -> Result<f32>
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&self,
samples: &dyn ToInputArray,
results: &mut dyn ToOutputArray,
flags: i32
) -> Result<f32>
pub fn predict2(
&self,
sample: &dyn ToInputArray,
probs: &mut dyn ToOutputArray
) -> Result<Vec2d>
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&self,
sample: &dyn ToInputArray,
probs: &mut dyn ToOutputArray
) -> Result<Vec2d>
pub fn train_em(
&mut self,
samples: &dyn ToInputArray,
log_likelihoods: &mut dyn ToOutputArray,
labels: &mut dyn ToOutputArray,
probs: &mut dyn ToOutputArray
) -> Result<bool>
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&mut self,
samples: &dyn ToInputArray,
log_likelihoods: &mut dyn ToOutputArray,
labels: &mut dyn ToOutputArray,
probs: &mut dyn ToOutputArray
) -> Result<bool>
pub fn train_e(
&mut self,
samples: &dyn ToInputArray,
means0: &dyn ToInputArray,
covs0: &dyn ToInputArray,
weights0: &dyn ToInputArray,
log_likelihoods: &mut dyn ToOutputArray,
labels: &mut dyn ToOutputArray,
probs: &mut dyn ToOutputArray
) -> Result<bool>
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&mut self,
samples: &dyn ToInputArray,
means0: &dyn ToInputArray,
covs0: &dyn ToInputArray,
weights0: &dyn ToInputArray,
log_likelihoods: &mut dyn ToOutputArray,
labels: &mut dyn ToOutputArray,
probs: &mut dyn ToOutputArray
) -> Result<bool>
pub fn train_m(
&mut self,
samples: &dyn ToInputArray,
probs0: &dyn ToInputArray,
log_likelihoods: &mut dyn ToOutputArray,
labels: &mut dyn ToOutputArray,
probs: &mut dyn ToOutputArray
) -> Result<bool>
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&mut self,
samples: &dyn ToInputArray,
probs0: &dyn ToInputArray,
log_likelihoods: &mut dyn ToOutputArray,
labels: &mut dyn ToOutputArray,
probs: &mut dyn ToOutputArray
) -> Result<bool>
impl StatModel for PtrOfEM
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pub fn as_raw_StatModel(&self) -> *const c_void
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pub fn as_raw_mut_StatModel(&mut self) -> *mut c_void
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pub fn get_var_count(&self) -> Result<i32>
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pub fn empty(&self) -> Result<bool>
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pub fn is_trained(&self) -> Result<bool>
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pub fn is_classifier(&self) -> Result<bool>
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pub fn train_with_data(
&mut self,
train_data: &Ptr<dyn TrainData>,
flags: i32
) -> Result<bool>
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&mut self,
train_data: &Ptr<dyn TrainData>,
flags: i32
) -> Result<bool>
pub fn train(
&mut self,
samples: &dyn ToInputArray,
layout: i32,
responses: &dyn ToInputArray
) -> Result<bool>
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&mut self,
samples: &dyn ToInputArray,
layout: i32,
responses: &dyn ToInputArray
) -> Result<bool>
pub fn calc_error(
&self,
data: &Ptr<dyn TrainData>,
test: bool,
resp: &mut dyn ToOutputArray
) -> Result<f32>
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&self,
data: &Ptr<dyn TrainData>,
test: bool,
resp: &mut dyn ToOutputArray
) -> Result<f32>
pub fn predict(
&self,
samples: &dyn ToInputArray,
results: &mut dyn ToOutputArray,
flags: i32
) -> Result<f32>
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&self,
samples: &dyn ToInputArray,
results: &mut dyn ToOutputArray,
flags: i32
) -> Result<f32>