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import os
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from os import path
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import numpy as np
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import PIL
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from PIL import Image
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from packaging import version
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import sys
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import torch
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if version.parse(version.parse(PIL.__version__).base_version) >= version.parse("9.1.0"):
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PIL_INTERPOLATION = {
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"linear": PIL.Image.Resampling.BILINEAR,
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"bilinear": PIL.Image.Resampling.BILINEAR,
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"bicubic": PIL.Image.Resampling.BICUBIC,
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"lanczos": PIL.Image.Resampling.LANCZOS,
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"nearest": PIL.Image.Resampling.NEAREST,
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}
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else:
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PIL_INTERPOLATION = {
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"linear": PIL.Image.LINEAR,
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"bilinear": PIL.Image.BILINEAR,
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"bicubic": PIL.Image.BICUBIC,
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"lanczos": PIL.Image.LANCZOS,
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"nearest": PIL.Image.NEAREST,
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}
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ROOT = '/projects/katefgroup/datasets/gs_kubric/InpaintingFormat_Set50'
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OUT_ROOT = os.path.join(ROOT)
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RESOLUTION = 512
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mask_dir = path.join(ROOT, 'Annotations')
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image_dir = path.join(ROOT, 'JPEGImages')
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videos = []
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num_frames = {}
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num_objects = {}
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vid_names = os.listdir(image_dir)
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for _video in vid_names:
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videos.append(_video)
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num_frames[_video] = len(os.listdir(path.join(image_dir, _video)))
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num_objects[_video] = len(os.listdir(path.join(mask_dir, _video)))
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for index in range(len(videos)):
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video = videos[index]
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num_objs = num_objects[video]
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os.makedirs(os.path.join(os.path.join(OUT_ROOT, 'MergedAnnotations', video)), exist_ok=True)
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img_file_names = os.listdir(path.join(image_dir, video))
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for f in range(num_frames[video]):
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file_name = img_file_names[f]
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img_file = path.join(image_dir, video, file_name)
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img = Image.open(img_file).convert('RGB')
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img = img.resize((RESOLUTION, RESOLUTION))
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binary_masks = np.zeros((2, RESOLUTION, RESOLUTION))
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for i in range(num_objs):
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mask_file = path.join(mask_dir, video, str(i).zfill(3), file_name[:-4]+".png")
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mask = Image.open(mask_file).convert("RGB")
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mask = mask.resize((RESOLUTION, RESOLUTION), PIL_INTERPOLATION["nearest"])
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mask = np.array(mask)[:, :, 0]
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if i != 0:
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binary_masks[1] += (mask > 128)
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binary_masks[1] = np.clip(binary_masks[1], 0, 1)
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else:
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binary_masks[i] = (mask > 128)
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obj_id = 0
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for _ in range(2):
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os.makedirs(os.path.join(os.path.join(OUT_ROOT, 'MergedAnnotations', video, str(obj_id).zfill(3))), exist_ok=True)
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Image.fromarray(binary_masks[obj_id].astype(np.uint8) * 255).save(os.path.join(OUT_ROOT, 'MergedAnnotations', video, str(obj_id).zfill(3), file_name[:-4]+".png"))
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obj_id += 1 |
