-
Stereo-Based 3D Reconstruction of Dynamic Fluid Surfaces by Global Optimization
- ステレオベースでの動的流体表面の三次元復元
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KillingFusion: Non-Rigid 3D Reconstruction Without Correspondences
- 対応を用いない非剛体の三次元復元
- ※KillingFusion...Killing Vector Field(キリングベクトル場)の融合
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Using Locally Corresponding CAD Models for Dense 3D Reconstructions From a Single Image
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CADモデルとの局所的な相関関係を用いた単一画像からの三次元復元
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import torch | |
from torch.autograd import Variable, Function | |
class Linear(Function): | |
# Note that both forward and backward are @staticmethods | |
@staticmethod | |
# bias is an optional argument | |
def forward(ctx, input, weight, bias=None): | |
ctx.save_for_backward(input, weight, bias) |
As configured in my dotfiles.
start new:
tmux
start new with session name:
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# [filter size, stride, padding] | |
#Assume the two dimensions are the same | |
#Each kernel requires the following parameters: | |
# - k_i: kernel size | |
# - s_i: stride | |
# - p_i: padding (if padding is uneven, right padding will higher than left padding; "SAME" option in tensorflow) | |
# | |
#Each layer i requires the following parameters to be fully represented: | |
# - n_i: number of feature (data layer has n_1 = imagesize ) | |
# - j_i: distance (projected to image pixel distance) between center of two adjacent features |
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import numpy as np | |
import re | |
import sys | |
''' | |
Load a PFM file into a Numpy array. Note that it will have | |
a shape of H x W, not W x H. Returns a tuple containing the | |
loaded image and the scale factor from the file. | |
''' | |
def load_pfm(file): |
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sudo apt-get remove --purge vim vim-runtime vim-gnome vim-tiny vim-gui-common | |
sudo apt-get install liblua5.1-dev luajit libluajit-5.1 python-dev ruby-dev libperl-dev libncurses5-dev libatk1.0-dev libx11-dev libxpm-dev libxt-dev | |
sudo rm -rf /usr/local/share/vim | |
sudo rm /usr/bin/vim | |
sudo mkdir /usr/include/lua5.1/include | |
sudo cp /usr/include/lua5.1/*.h /usr/include/lua5.1/include/ |
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# suppose you have created a ui file called configwin.ui | |
cmake_minimum_required (VERSION 2.6) | |
project(tst) | |
find_package(Qt5Widgets) | |
set(CMAKE_AUTOMOC ON) | |
set(CMAKE_INCLUDE_CURRENT_DIR ON) |
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#include <iostream> | |
#include <lemon/smart_graph.h> | |
#include <lemon/lgf_reader.h> | |
#include <lemon/lgf_writer.h> | |
#include <lemon/capacity_scaling.h> | |
using namespace lemon; | |
int main() { | |
SmartDigraph g; |