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# The MIT License (MIT)
#
# Copyright (c) 2021, NVIDIA CORPORATION.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy of
# this software and associated documentation files (the "Software"), to deal in
# the Software without restriction, including without limitation the rights to
# use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of
# the Software, and to permit persons to whom the Software is furnished to do so,
# subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in all
# copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS
# FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
# COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER
# IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
import numpy as np
# This is the bridge between an argparse based approach and a non-argparse one
def setparam(args, param, paramstr):
argsparam = getattr(args, paramstr, None)
if param is not None or argsparam is None:
return param
else:
return argsparam
class BaseTracer(object):
"""Virtual base class for tracer"""
def __init__(self,
args = None,
camera_clamp : list = None,
step_size : float = None,
grad_method : str = None,
num_steps : int = None, # samples for raymaching, iterations for sphere trace
min_dis : float = None):
self.args = args
self.camera_clamp = setparam(args, camera_clamp, 'camera_clamp')
self.step_size = setparam(args, step_size, 'step_size')
self.grad_method = setparam(args, grad_method, 'grad_method')
self.num_steps = setparam(args, num_steps, 'num_steps')
self.min_dis = setparam(args, min_dis, 'min_dis')
self.inv_num_steps = 1.0 / self.num_steps
self.diagonal = np.sqrt(3) * 2.0
def __call__(self, *args, **kwargs):
return self.forward(*args, **kwargs)
def forward(self, net, ray_o, ray_d):
"""Base implementation for forward"""
raise NotImplementedError