#!/usr/bin/env python import os import random import argparse import numpy as np from PIL import Image from pathlib import Path from skimage import color from tqdm.auto import tqdm from lib.lime import LIME from lib.fog_gen import fogAttenuation from lib.rain_gen import RainGenUsingNoise from lib.gen_utils import ( illumination2opacity, layer_blend, alpha_blend, reduce_lightHSV, scale_depth, ) def parse_arguments(): parser = argparse.ArgumentParser() parser.add_argument( "--clear_path", type=str, required=True, help="path to the file or the folder" ) parser.add_argument( "--depth_path", type=str, required=True, help="path to the file or the folder" ) parser.add_argument( "--save_folder", type=str, default="./generated/", help="path to the folder" ) parser.add_argument("--txt_file", default=None, help="path to the folder") parser.add_argument("--show", action="store_true") parser.add_argument("--fog", action="store_true") return parser.parse_args() class RainEffectGenerator: def __init__(self, fog=True): self._lime = LIME(iterations=25, alpha=1.0) # self._illumination2darkness = {0: 1, 1: 0.75, 2: 0.65, 3: 0.5} self._illumination2darkness = {0: 1, 1: 0.95, 2: 0.85, 3: 0.8} self._weather2visibility = (1000, 2000) # self._weather2visibility = {'fog': (100,250), 'rain': (1000,2000), 'snow': (500, 1000)} # self._illumination2fogcolor = {0: (80, 120), 1: (120, 160), 2: (160, 200), 3: (200, 240)} self._illumination2fogcolor = { 0: (150, 180), 1: (180, 200), 2: (200, 240), 3: (200, 240), } self._rain_layer_gen = RainGenUsingNoise() self._fog = fog def getIlluminationMap(self, img: np.ndarray) -> np.ndarray: self._lime.load(img) T = self._lime.illumMap() return T def getIlluminationMapCheat(self, img: np.ndarray) -> np.ndarray: T = color.rgb2gray(img) return T def genRainLayer(self, h=720, w=1280): blur_angle = random.choice([-1, 1]) * random.randint(60, 90) layer_large = self._rain_layer_gen.genRainLayer( h=720, w=1280, noise_scale=random.uniform(0.35, 0.55), noise_amount=0.2, zoom_layer=random.uniform(1.0, 3.5), blur_kernel_size=random.choice([15, 17, 19, 21, 23]), blur_angle=blur_angle, ) # large layer_small = self._rain_layer_gen.genRainLayer( h=720, w=1280, noise_scale=random.uniform(0.35, 0.55), noise_amount=0.15, zoom_layer=random.uniform(1.0, 3.5), blur_kernel_size=random.choice([7, 9, 11, 13]), blur_angle=blur_angle, ) # small layer = layer_blend(layer_small, layer_large) hl, wl = layer.shape if h != hl or w != wl: layer = np.asarray(Image.fromarray(layer).resize((w, h))) return layer def genEffect(self, img_path: str, depth_path: str): I = np.array(Image.open(img_path)) D = np.load(depth_path) return self.genEffect_(I, D) def genEffect_(self, I, D): hI, wI, _ = I.shape hD, wD = D.shape if hI != hD or wI != wD: D = scale_depth(D, hI, wI) T = self.getIlluminationMap(I) illumination_array = np.histogram(T, bins=4, range=(0, 1))[0] / (T.size) illumination = illumination_array.argmax() if self._fog: if illumination > 0: visibility = visibility = random.randint( self._weather2visibility[0], self._weather2visibility[1] ) fog_color = random.randint( self._illumination2fogcolor[illumination][0], self._illumination2fogcolor[illumination][1], ) I_dark = reduce_lightHSV( I, sat_red=self._illumination2darkness[illumination], val_red=self._illumination2darkness[illumination], ) I_fog = fogAttenuation( I_dark, D, visibility=visibility, fog_color=fog_color ) else: fog_color = 75 visibility = D.max() * 0.75 if D.max() < 1000 else 750 I_fog = fogAttenuation(I, D, visibility=visibility, fog_color=fog_color) else: I_fog = I alpha = illumination2opacity(I, illumination) * random.uniform(0.3, 0.5) rain_layer = self.genRainLayer(h=hI, w=wI) I_rain = alpha_blend(I_fog, rain_layer, alpha) return I_rain.astype(np.uint8) def main(): args = parse_arguments() raingen = RainEffectGenerator(fog=args.fog) clearP = Path(args.clear_path) depthP = Path(args.depth_path) if clearP.is_file() and (depthP.is_file() and depthP.suffix == ".npy"): rainy = raingen.genEffect(clearP, depthP) if args.show: Image.fromarray(rainy).show() if clearP.is_dir() and depthP.is_dir(): if args.txt_file: with open(args.txt_file, "r") as f: files = f.read().split("\n") image_files = [clearP / f for f in files] else: image_files = sorted(Path(clearP).glob("*")) depth_files = [ Path(depthP) / (imgf.name.split(".")[0] + ".npy") for imgf in image_files ] valid_files = [idx for idx, f in enumerate(depth_files) if f.exists()] image_files = [image_files[idx] for idx in valid_files] depth_files = [depth_files[idx] for idx in valid_files] save_folder = Path(args.save_folder) if not save_folder.exists(): os.makedirs(str(save_folder)) for imgp, depthp in tqdm(zip(image_files, depth_files), total=len(image_files)): rainy = raingen.genEffect(imgp, depthp) Image.fromarray(rainy).save(save_folder / (imgp.stem + ".jpg")) if __name__ == "__main__": main()