#if os.path.exists(args.disp_path) is False:
# raise OSError('Path for disparity image: {0} does not exist'.format(args.disp_path))
#if os.path.exists(args.config_path) is False:
# raise OSError('Path for configuration (.xml) file: {0} does not exist'.format(args.config_path))
max_ps = int(args.max_ps)
layers = int(args.layers)
patch_shape = int(args.patch_shape)
min_ps = max_ps - layers
#pdb.set_trace()
print("\n******************\n")
print("Loading the scene: colored image and disparity..")
print("\ncolored image: found at {0}..".format(args.colorimage_path))
print("disparity map: found at {0}..".format(args.disp_path))
lenses = xmlio.load_with_disp(args.colorimage_path, args.disp_path,
args.config_path)
lens_imgs = dict()
disp_imgs = dict()
min_d = lenses[0, 0].col_img.shape[0] * 2 # just a high number
max_d = 0
for key in lenses:
lens_imgs[key] = lenses[key].col_img
disp_imgs[key] = lenses[key].disp_img
if np.min(np.asarray(disp_imgs[key])) < min_d:
min_d = np.min(np.asarray(disp_imgs[key]))
if np.max(np.asarray(disp_imgs[key])) > max_d:
max_d = np.max(np.asarray(disp_imgs[key]))
isReal = True
args = parser.parse_args()
if os.path.exists(args.output_path) is False:
raise OSError('Path {0} does not exist'.format(args.output_path))
if os.path.exists(args.disp_path) is False:
raise OSError('Path for disparity image: {0} does not exist'.format(
args.output_path))
if os.path.exists(args.config_path) is False:
raise OSError(
'Path for configuration (.xml) file: {0} does not exist'.format(
args.output_path))
max_ps = int(args.max_ps)
layers = int(args.layers)
min_ps = max_ps - layers
lenses = xmlio.load_with_disp(args.input_filename[0], args.disp_path,
args.config_path)
lens_imgs = dict()
disp_imgs = dict()
min_d = lenses[0, 0].col_img.shape[0] * 2 # just a high number
max_d = 0
for key in lenses:
lens_imgs[key] = lenses[key].col_img
disp_imgs[key] = lenses[key].disp_img
if np.min(np.asarray(disp_imgs[key])) < min_d:
min_d = np.min(np.asarray(disp_imgs[key]))
if np.max(np.asarray(disp_imgs[key])) > max_d:
max_d = np.max(np.asarray(disp_imgs[key]))
isReal = True