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Class Cambridge2

dataset_loaders/cambridge_scenes.py:112–255  ·  view source on GitHub ↗

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110 return target_pose.reshape(poses.shape[0],12)
111
112class Cambridge2(data.Dataset):
113 def __init__(self, scene, data_path, train, transform=None,
114 target_transform=None, mode=0, seed=7,
115 skip_images=False, df=2., trainskip=1, testskip=1, hwf=[480,854,744.],
116 ret_idx=False, fix_idx=False, ret_hist=False, hist_bin=10):
117 """
118 :param scene: scene name ['chess', 'pumpkin', ...]
119 :param data_path: root 7scenes data directory.
120 Usually '../data/deepslam_data/7Scenes'
121 :param train: if True, return the training images. If False, returns the
122 testing images
123 :param transform: transform to apply to the images
124 :param target_transform: transform to apply to the poses
125 :param mode: (Obsolete) 0: just color image, 1: color image in NeRF 0-1 and resized
126 :param skip_images: If True, skip loading images and return None instead
127 :param df: downscale factor
128 :param trainskip: due to 7scenes are so big, now can use less training sets # of trainset = 1/trainskip
129 :param testskip: skip part of testset, # of testset = 1/testskip
130 :param hwf: H,W,Focal from COLMAP
131 """
132
133 self.transform = transform
134 self.target_transform = target_transform
135 self.df = df
136
137 self.H, self.W, self.focal = hwf
138 self.H = int(self.H)
139 self.W = int(self.W)
140 np.random.seed(seed)
141
142 self.train = train
143 self.ret_idx = ret_idx
144 self.fix_idx = fix_idx
145 self.ret_hist = ret_hist
146 self.hist_bin = hist_bin # histogram bin size
147
148 if self.train:
149 root_dir = osp.join(data_path, scene) + '/train'
150 else:
151 root_dir = osp.join(data_path, scene) + '/test'
152
153 rgb_dir = root_dir + '/rgb/'
154
155 pose_dir = root_dir + '/poses/'
156
157 world_setup_fn = osp.join(data_path, scene) + '/world_setup.json'
158
159 # collect poses and image names
160 self.rgb_files = os.listdir(rgb_dir)
161 self.rgb_files = [rgb_dir + f for f in self.rgb_files]
162 self.rgb_files.sort()
163
164 self.pose_files = os.listdir(pose_dir)
165 self.pose_files = [pose_dir + f for f in self.pose_files]
166 self.pose_files.sort()
167
168 # remove some abnormal data, need to fix later
169 if scene == 'ShopFacade' and self.train:

Callers 3

mainFunction · 0.85

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