#!/usr/bin/python3
import argparse
import os
from lib import project
# initialize a new project workspace
parser = argparse.ArgumentParser(description='Create an empty project.')
parser.add_argument('--project',
required=True,
help='Directory with a set of aerial images.')
args = parser.parse_args()
# test if images directory exists
if not os.path.isdir(args.project):
print("Images directory doesn't exist:", args.project)
quit()
# create an empty project
proj = project.ProjectMgr(args.project, create=True)
# and save what we have so far ...
proj.save()
mesh_steps = 8 # 1 = corners only
r2d = 180 / math.pi
tolerance = 0.5
parser = argparse.ArgumentParser(description='Set the initial camera poses.')
parser.add_argument('project', help='project directory')
parser.add_argument('--group', type=int, default=0, help='group index')
parser.add_argument('--texture-resolution', type=int, default=512, help='texture resolution (should be 2**n, so numbers like 256, 512, 1024, etc.')
parser.add_argument('--srtm', action='store_true', help='use srtm elevation')
parser.add_argument('--ground', type=float, help='force ground elevation in meters')
parser.add_argument('--direct', action='store_true', help='use direct pose')
args = parser.parse_args()
proj = project.ProjectMgr(args.project)
proj.load_images_info()
# lookup ned reference
ref_node = getNode("/config/ned_reference", True)
ref = [ ref_node.getFloat('lat_deg'),
ref_node.getFloat('lon_deg'),
ref_node.getFloat('alt_m') ]
# setup SRTM ground interpolator
srtm.initialize( ref, 6000, 6000, 30 )
width, height = proj.cam.get_image_params()
print("Loading optimized match points ...")
matches = pickle.load( open( os.path.join(proj.analysis_dir, "matches_grouped"), "rb" ) )
print(x, y, r)
deets = val["details"]
density = deets[0]["value"]
if len(deets) >= 2:
confidence = deets[1]["value"]
if len(deets) >= 3:
comment = deets[2]["value"]
if len(comment):
print("comment:", comment)
u = base_w + x
v = base_h + y
by_image[srcname].append([u, v])
for project_path in by_project:
print("project:", project_path)
proj = project.ProjectMgr(project_path)
proj.load_images_info()
# lookup ned reference
ref_node = getNode("/config/ned_reference", True)
ref = [
ref_node.getFloat('lat_deg'),
ref_node.getFloat('lon_deg'),
ref_node.getFloat('alt_m')
]
ned_list = []
print("Loading optimized match points ...")
matches = pickle.load(
open(os.path.join(proj.analysis_dir, "matches_grouped"), "rb"))
