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49 lines
1.4 KiB
Python
49 lines
1.4 KiB
Python
import copy
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'''
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You can implement your own Converter, check example ConverterMasked.py
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'''
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class Converter(object):
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TYPE_FACE = 0 #calls convert_face
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TYPE_IMAGE = 1 #calls convert_image without landmarks
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TYPE_IMAGE_WITH_LANDMARKS = 2 #calls convert_image with landmarks
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#overridable
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def __init__(self, predictor_func, type):
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self.predictor_func = predictor_func
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self.type = type
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#overridable
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def on_cli_initialize(self):
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#cli initialization
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pass
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#overridable
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def on_host_tick(self):
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pass
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#overridable
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def cli_convert_face (self, img_bgr, img_face_landmarks, debug):
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#return float32 image
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#if debug , return tuple ( images of any size and channels, ...)
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return image
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#overridable
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def convert_image (self, img_bgr, img_landmarks, debug):
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#img_landmarks not None, if input image is png with embedded data
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#return float32 image
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#if debug , return tuple ( images of any size and channels, ...)
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return image
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#overridable
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def dummy_predict(self):
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#do dummy predict here
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pass
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def copy(self):
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return copy.copy(self)
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def copy_and_set_predictor(self, predictor_func):
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result = self.copy()
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result.predictor_func = predictor_func
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return result
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