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postprocess.py
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postprocess.py
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#!/usr/bin/python
# -*- encoding: utf-8 -*-
import cv2
import numpy as np
from PIL import Image
import torch
class PostProcess:
def __init__(self, config):
self.denoise = config.POSTPROCESS.WILL_DENOISE
self.img_size = config.DATA.IMG_SIZE
def __call__(self, source: Image, result: Image):
# TODO: Refract -> name, resize
source = np.array(source)
result = np.array(result)
height, width = source.shape[:2]
small_source = cv2.resize(source, (self.img_size, self.img_size))
laplacian_diff = source.astype(
np.float) - cv2.resize(small_source, (width, height)).astype(np.float)
result = (cv2.resize(result, (width, height)) +
laplacian_diff).round().clip(0, 255).astype(np.uint8)
if self.denoise:
result = cv2.fastNlMeansDenoisingColored(result)
result = Image.fromarray(result).convert('RGB')
return result