def execute(self, context):
assert len(self.files) == 1
ofp = os.path.join(self.directory, self.files[0].name)
cameras, points = export_selected_cameras_and_vertices_of_meshes(
self, "")
for cam in cameras:
assert cam.get_calibration_mat() is not None
NVMFileHandler.write_nvm_file(self, ofp, cameras, points)
return {'FINISHED'}
def execute(self, context):
paths = [
os.path.join(self.directory, name.name)
for name in self.selected_files
]
if not paths:
paths.append(self.filepath)
self.report({'INFO'}, 'paths: ' + str(paths))
for path in paths:
# by default search for the images in the nvm directory
if self.path_to_images == '':
self.path_to_images = os.path.dirname(path)
cameras, points = NVMFileHandler.parse_nvm_file(path, self)
self.report({'INFO'}, 'Number cameras: ' + str(len(cameras)))
self.report({'INFO'}, 'Number points: ' + str(len(points)))
self.import_photogrammetry_cameras(cameras)
self.import_photogrammetry_points(points)
return {'FINISHED'}
def execute(self, context):
path = os.path.join(self.directory, self.filepath)
self.report({'INFO'}, 'path: ' + str(path))
self.image_dp = get_default_image_path(path, self.image_dp)
self.report({'INFO'}, 'image_dp: ' + str(self.image_dp))
cameras, points = NVMFileHandler.parse_nvm_file(
path, self.image_dp, self.image_fp_type, self)
self.report({'INFO'}, 'Number cameras: ' + str(len(cameras)))
self.report({'INFO'}, 'Number points: ' + str(len(points)))
reconstruction_collection = add_collection('Reconstruction Collection')
self.import_photogrammetry_cameras(cameras, reconstruction_collection)
self.import_photogrammetry_points(points, reconstruction_collection)
return {'FINISHED'}
def execute(self, context):
path = os.path.join(self.directory, self.filepath)
self.report({'INFO'}, 'path: ' + str(path))
# by default search for the images in the nvm directory
if self.path_to_images == '':
self.path_to_images = os.path.dirname(path)
cameras, points = NVMFileHandler.parse_nvm_file(path, self)
self.report({'INFO'}, 'Number cameras: ' + str(len(cameras)))
self.report({'INFO'}, 'Number points: ' + str(len(points)))
reconstruction_collection = add_collection('Reconstruction Collection')
self.import_photogrammetry_cameras(cameras, reconstruction_collection)
self.import_photogrammetry_points(points, reconstruction_collection)
return {'FINISHED'}
def enhance_camera_with_images(self, cameras):
# Overwrites CameraImportProperties.enhance_camera_with_images()
cameras, success = NVMFileHandler.parse_camera_image_files(
cameras, self.path_to_images, self.default_width, self.default_height, self)
return cameras, success
def enhance_camera_with_images(self, cameras):
cameras, success = NVMFileHandler.parse_camera_image_files(
cameras, self.path_to_images, self.default_width,
self.default_height, self)
return cameras, success