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database.py
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database.py
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# This script is based on an original implementation by True Price.
# Created by liminghao
import sys
import numpy as np
import sqlite3
IS_PYTHON3 = sys.version_info[0] >= 3
def array_to_blob(array):
if IS_PYTHON3:
return array.tostring()
else:
return np.getbuffer(array)
def blob_to_array(blob, dtype, shape=(-1,)):
if IS_PYTHON3:
return np.fromstring(blob, dtype=dtype).reshape(*shape)
else:
return np.frombuffer(blob, dtype=dtype).reshape(*shape)
class COLMAPDatabase(sqlite3.Connection):
@staticmethod
def connect(database_path):
return sqlite3.connect(database_path, factory=COLMAPDatabase)
def __init__(self, *args, **kwargs):
super(COLMAPDatabase, self).__init__(*args, **kwargs)
self.create_tables = lambda: self.executescript(CREATE_ALL)
self.create_cameras_table = \
lambda: self.executescript(CREATE_CAMERAS_TABLE)
self.create_descriptors_table = \
lambda: self.executescript(CREATE_DESCRIPTORS_TABLE)
self.create_images_table = \
lambda: self.executescript(CREATE_IMAGES_TABLE)
self.create_two_view_geometries_table = \
lambda: self.executescript(CREATE_TWO_VIEW_GEOMETRIES_TABLE)
self.create_keypoints_table = \
lambda: self.executescript(CREATE_KEYPOINTS_TABLE)
self.create_matches_table = \
lambda: self.executescript(CREATE_MATCHES_TABLE)
self.create_name_index = lambda: self.executescript(CREATE_NAME_INDEX)
def update_camera(self, model, width, height, params, camera_id):
params = np.asarray(params, np.float64)
cursor = self.execute(
"UPDATE cameras SET model=?, width=?, height=?, params=?, prior_focal_length=True WHERE camera_id=?",
(model, width, height, array_to_blob(params),camera_id))
return cursor.lastrowid
def camTodatabase():
import os
import argparse
camModelDict = {'SIMPLE_PINHOLE': 0,
'PINHOLE': 1,
'SIMPLE_RADIAL': 2,
'RADIAL': 3,
'OPENCV': 4,
'FULL_OPENCV': 5,
'SIMPLE_RADIAL_FISHEYE': 6,
'RADIAL_FISHEYE': 7,
'OPENCV_FISHEYE': 8,
'FOV': 9,
'THIN_PRISM_FISHEYE': 10}
parser = argparse.ArgumentParser()
parser.add_argument("--database_path", type=str, default="database.db")
parser.add_argument("--txt_path", type=str, default="colmap/sparse_cameras.txt")
# breakpoint()
args = parser.parse_args()
if os.path.exists(args.database_path)==False:
print("ERROR: database path dosen't exist -- please check database.db.")
return
# Open the database.
db = COLMAPDatabase.connect(args.database_path)
idList=list()
modelList=list()
widthList=list()
heightList=list()
paramsList=list()
# Update real cameras from .txt
with open(args.txt_path, "r") as cam:
lines = cam.readlines()
for i in range(0,len(lines),1):
if lines[i][0]!='#':
strLists = lines[i].split()
cameraId=int(strLists[0])
cameraModel=camModelDict[strLists[1]] #SelectCameraModel
width=int(strLists[2])
height=int(strLists[3])
paramstr=np.array(strLists[4:12])
params = paramstr.astype(np.float64)
idList.append(cameraId)
modelList.append(cameraModel)
widthList.append(width)
heightList.append(height)
paramsList.append(params)
camera_id = db.update_camera(cameraModel, width, height, params, cameraId)
# Commit the data to the file.
db.commit()
# Read and check cameras.
rows = db.execute("SELECT * FROM cameras")
for i in range(0,len(idList),1):
camera_id, model, width, height, params, prior = next(rows)
params = blob_to_array(params, np.float64)
assert camera_id == idList[i]
assert model == modelList[i] and width == widthList[i] and height == heightList[i]
assert np.allclose(params, paramsList[i])
# Close database.db.
db.close()
if __name__ == "__main__":
import sys,os
camTodatabase()