mirror of
https://github.com/iperov/DeepFaceLab.git
synced 2025-07-06 13:02:15 -07:00
7b70e7eec1
removed AVATAR - useless model was just for demo removed MIAEF128 - use UFM insted removed LIAEF128YAW - use model option sort by yaw on start for any model All models now ask some options on start. Session options (such as target epoch, batch_size, write_preview_history etc) can be overrided by special command arg. Converter now always ask options and no more support to define options via command line. fix bug when ConverterMasked always used not predicted mask. SampleGenerator now always generate samples with replicated border, exclude mask samples. refactorings
46 lines
1.4 KiB
Python
46 lines
1.4 KiB
Python
from models import ConverterBase
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from facelib import LandmarksProcessor
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from facelib import FaceType
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import cv2
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import numpy as np
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from utils import image_utils
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'''
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predictor:
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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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class ConverterImage(ConverterBase):
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#override
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def __init__(self, predictor,
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predictor_input_size=0,
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output_size=0,
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**in_options):
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super().__init__(predictor)
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self.predictor_input_size = predictor_input_size
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self.output_size = output_size
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#override
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def get_mode(self):
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return ConverterBase.MODE_IMAGE
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#override
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def dummy_predict(self):
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self.predictor ( 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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predictor_input_bgr = cv2.resize ( img_bgr, (self.predictor_input_size, self.predictor_input_size), cv2.INTER_LANCZOS4 )
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predicted_bgr = self.predictor ( predictor_input_bgr )
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output = cv2.resize ( predicted_bgr, (self.output_size, self.output_size), cv2.INTER_LANCZOS4 )
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if debug:
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return (predictor_input_bgr,output,)
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return output
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