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| def __init__(self, image_shape, cycle_lambda, image_hepler): | |
| self.optimizer = Adam(0.0002, 0.5) | |
| self.cycle_lambda = cycle_lambda | |
| self.id_lambda = 0.1 * self.cycle_lambda | |
| self._image_helper = image_hepler | |
| self.img_shape = image_shape | |
| # Calculate output shape | |
| patch = int(self.img_shape[0] / 2**4) | |
| self.disc_patch = (patch, patch, 1) | |
| print("Build Discriminators...") | |
| self._discriminatorX = self._build_discriminator_model() | |
| self._compile_discriminator_model(self._discriminatorX) | |
| self._discriminatorY = self._build_discriminator_model() | |
| self._compile_discriminator_model(self._discriminatorY) | |
| print("Build Generators...") | |
| self._generatorXY = self._build_generator_model() | |
| self._generatorYX = self._build_generator_model() | |
| print("Build GAN...") | |
| self._build_and_compile_gan() |
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