from __future__ import absolute_import, division, print_function
import os
import skimage.transform
import numpy as np
import PIL.Image as pil
from kitti_utils import generate_depth_map
from .mono_dataset import MonoDataset
class EsophagusDataset(MonoDataset):
def __init__(self, *args, **kwargs):
super(EsophagusDataset, self).__init__(*args, **kwargs)
self.K = np.array([[229.909354, 0, 232.628838, 0],
[0, 223.048278, 177.914264, 0],
[0, 0, 1, 0],
[0, 0, 0, 1]], dtype=np.float32)
self.full_res_shape = (480, 352)
def check_depth(self):
line = self.filenames[0].split()
scene_name = line[0]
frame_index = int(line[1])
velo_filename = os.path.join(
self.data_path,
scene_name,
"velodyne_points/data/{:010d}.bin".format(int(frame_index)))
return os.path.isfile(velo_filename)
def get_color(self, folder, frame_index, seq_num, do_flip):
color = self.loader(self.get_image_path(folder, frame_index, seq_num))
if do_flip:
color = color.transpose(pil.FLIP_LEFT_RIGHT)
return color
class EsophagusRAWDataset(EsophagusDataset):
def __init__(self, *args, **kwargs):
super(EsophagusRAWDataset, self).__init__(*args, **kwargs)
def get_image_path(self, folder, frame_index, seq_num):
f_str = "{:08d}{}".format(frame_index, self.img_ext)
image_path = os.path.join(self.data_path, folder, "seq_{}".format(seq_num), f_str)
return image_path
# ここは適当
def get_depth(self, folder, frame_index, side, do_flip):
calib_path = os.path.join(self.data_path, folder.split("/")[0])
velo_filename = os.path.join(
self.data_path,
folder,
"velodyne_points/data/{:010d}.bin".format(int(frame_index)))
depth_gt = generate_depth_map(calib_path, velo_filename, self.side_map[side])
depth_gt = skimage.transform.resize(
depth_gt, self.full_res_shape[::-1], order=0, preserve_range=True, mode='constant')
if do_flip:
depth_gt = np.fliplr(depth_gt)
return depth_gt