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import os | |
import h5py | |
import io | |
import matplotlib.pyplot as plt | |
import numpy as np | |
from PIL import Image | |
def JpegToNumpy(jpeg): | |
stream = io.BytesIO(jpeg) |
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Homebrew build logs for glog on macOS 10.11.6 | |
Build date: 2017-08-01 03:28:15 |
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Homebrew build logs for osrf/simulation/sdformat5 on macOS 10.11.6 | |
Build date: 2017-06-05 20:38:01 |
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Homebrew build logs for bullet on macOS 10.11.6 | |
Build date: 2017-05-08 23:34:01 |
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import tensorflow as tf | |
import numpy as np | |
dim = 256 | |
kernel_dim = 3 | |
dilation_rate = np.array([2, 2]) | |
input_img_np = np.random.random((1, dim, dim, 1)).astype(np.float32) | |
kernel = np.random.random((kernel_dim,kernel_dim,1,1)).astype(np.float32) | |
with tf.Session() as sess: |
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cmake_minimum_required (VERSION 3.5) | |
project (HELLO) | |
find_package(Boost COMPONENTS log_setup log) | |
ADD_DEFINITIONS(-DBOOST_LOG_DYN_LINK) | |
add_executable(main main.cpp) | |
target_link_libraries(main ${Boost_LOG_SETUP_LIBRARY} ${Boost_LOG_LIBRARY}) |
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Xt_ std::__1::vector<sva::PTransform<double>, std::__1::allocator<sva::PTransform<double> > > size=10 | |
[0] sva::PTransform<double> | |
E_ sva::PTransform<double>::matrix3_t | |
Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 3, 0, 3, 3> > Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 3, 0, 3, 3> > | |
m_storage Eigen::DenseStorage<double, 9, 3, 3, 0> | |
m_data Eigen::internal::plain_array<double, 9, 0, 0> | |
array double [9] | |
[0] double -0.99999999931219463 -0.99999999931219463 | |
[1] double -0.000026226043692152668 -0.000026226043692152668 | |
[2] double 0 0 |
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Homebrew build logs for ahundt/robotics/cmake-basis on macOS 10.11.6 | |
Build date: 2016-10-26 01:55:15 |
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Homebrew build logs for ahundt/robotics/tasks on macOS 10.11.6 | |
Build date: 2016-05-19 17:14:36 |
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Homebrew build logs for ahundt/robotics/tasks on Mac OS X 10.11.4 | |
Build date: 2016-05-19 17:14:36 |
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