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removing trailing spaces
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parent
fa4e579b95
commit
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61 changed files with 2110 additions and 2103 deletions
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@ -7,25 +7,25 @@ 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 convert_face (self, img_bgr, img_face_landmarks, debug):
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#return float32 image
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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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#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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@ -33,8 +33,8 @@ class Converter(object):
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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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return result
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@ -7,7 +7,7 @@ import numpy as np
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from utils import image_utils
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'''
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predictor_func:
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predictor_func:
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input: [predictor_input_size, predictor_input_size, BGR]
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output: [predictor_input_size, predictor_input_size, BGR]
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'''
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@ -16,18 +16,18 @@ class ConverterImage(Converter):
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#override
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def __init__(self, predictor_func,
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predictor_input_size=0,
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predictor_input_size=0,
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output_size=0):
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super().__init__(predictor_func, Converter.TYPE_IMAGE)
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self.predictor_input_size = predictor_input_size
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self.output_size = output_size
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self.output_size = output_size
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#override
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def dummy_predict(self):
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self.predictor_func ( np.zeros ( (self.predictor_input_size, self.predictor_input_size,3), dtype=np.float32) )
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#override
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def convert_image (self, img_bgr, img_landmarks, debug):
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img_size = img_bgr.shape[1], img_bgr.shape[0]
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