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import glob |
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import rawpy |
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import cv2 |
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import os |
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import numpy as np |
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import colour_demosaicing |
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from tqdm import tqdm |
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def process_raw(args, path, w_new, h_new): |
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raw = rawpy.imread(str(path)).raw_image_visible |
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if '_00200_' in str(path) or '_00100_' in str(path): |
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raw = np.clip(raw.astype('float32') - 512, 0, 65535) |
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else: |
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raw = np.clip(raw.astype('float32') - 2048, 0, 65535) |
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img = colour_demosaicing.demosaicing_CFA_Bayer_bilinear(raw, 'RGGB').astype('float32') |
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img = np.clip(img, 0, 16383) |
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if args.histeq: |
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img2 = np.zeros_like(img) |
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for i in range(3): |
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hist,bins = np.histogram(img[..., i].flatten(),16384,[0,16384]) |
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cdf = hist.cumsum() |
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cdf_normalized = cdf * float(hist.max()) / cdf.max() |
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cdf_m = np.ma.masked_equal(cdf,0) |
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cdf_m = (cdf_m - cdf_m.min())*16383/(cdf_m.max()-cdf_m.min()) |
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cdf = np.ma.filled(cdf_m,0).astype('uint16') |
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img2[..., i] = cdf[img[..., i].astype('int16')] |
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img[..., i] = img2[..., i].astype('float32') |
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m = img.mean() |
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d = np.abs(img - img.mean()).mean() |
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img = (img - m + 2*d) / 4/d * 255 |
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image = np.clip(img, 0, 255) |
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image = cv2.resize(image.astype('float32'), (w_new, h_new), interpolation=cv2.INTER_AREA) |
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if args.histeq: |
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path=str(path) |
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os.makedirs('/'.join(path.split('/')[:-2]+[path.split('/')[-2]+'-npy']), exist_ok=True) |
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np.save('/'.join(path.split('/')[:-2]+[path.split('/')[-2]+'-npy']+[path.split('/')[-1].replace('cr2','npy')]), image) |
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else: |
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path=str(path) |
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os.makedirs('/'.join(path.split('/')[:-2]+[path.split('/')[-2]+'-npy-nohisteq']), exist_ok=True) |
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np.save('/'.join(path.split('/')[:-2]+[path.split('/')[-2]+'-npy-nohisteq']+[path.split('/')[-1].replace('cr2','npy')]), image) |
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if __name__ == '__main__': |
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import argparse |
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parser = argparse.ArgumentParser() |
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parser.add_argument('--H', type=int, default=int(640)) |
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parser.add_argument('--W', type=int, default=int(960)) |
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parser.add_argument('--histeq', action='store_true') |
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parser.add_argument('--dataset_dir', type=str, default='/data/hyz/MID/') |
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args = parser.parse_args() |
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path_ls = glob.glob(args.dataset_dir + '/*/pair*/?????/*') |
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for path in tqdm(path_ls): |
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process_raw(args, path, args.W, args.H) |
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