hezar.models.text_detection.craft.craft_text_detection module¶
- class hezar.models.text_detection.craft.craft_text_detection.CraftTextDetection(config: CraftTextDetectionConfig, **kwargs)[source]¶
Bases:
Model
CRAFT for text detection. Copied from the original implementation at https://github.com/clovaai/CRAFT-pytorch
- basenet¶
U network
- post_process(model_outputs: dict, text_threshold: float | None = None, link_threshold: float | None = None, low_text: float | None = None, poly: bool = False)[source]¶
Process model outputs and return human-readable results. Called in self.predict()
- Parameters:
model_outputs – model outputs to process
**kwargs – extra arguments specific to the derived class
- Returns:
Processed model output values and converted to human-readable results
- class hezar.models.text_detection.craft.craft_text_detection.DoubleConv(in_ch, mid_ch, out_ch)[source]¶
Bases:
Module
- forward(x)[source]¶
Define the computation performed at every call.
Should be overridden by all subclasses.
Note
Although the recipe for forward pass needs to be defined within this function, one should call the
Module
instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.
- class hezar.models.text_detection.craft.craft_text_detection.VGG16BN[source]¶
Bases:
Module
- forward(x)[source]¶
Define the computation performed at every call.
Should be overridden by all subclasses.
Note
Although the recipe for forward pass needs to be defined within this function, one should call the
Module
instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.