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# Benchmarks for images with 6 channels. | |
# Full command line: | |
# bazel run -c opt --copt=-mavx --copt=-mavx2 --copt=-mfma --copt=-mfpmath=both --copt=-msse4.2 --config=cuda tensorflow/core/kernels:resize_benchmark_test_gpu -- --benchmarks=.. | |
BEFORE | |
Benchmark Time(ns) Iterations | |
-------------------------------------------------------------------- | |
BM_Resize_ResizeNearestNeighbor_cpu_10_499_499 50546710 100 295.6M items/s | |
BM_Resize_ResizeNearestNeighbor_gpu_10_499_499 9572830 100 1560.7M items/s | |
BM_Resize_ResizeBilinear_cpu_10_499_499 64680780 100 231.0M items/s | |
BM_Resize_ResizeBilinear_gpu_10_499_499 11350100 100 1316.3M items/s |
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/usr/bin/cmake -H/home/panmari/oiio -B/home/panmari/oiio/build --check-build-system CMakeFiles/Makefile.cmake 0 | |
/usr/bin/cmake -E cmake_progress_start /home/panmari/oiio/build/CMakeFiles /home/panmari/oiio/build/CMakeFiles/progress.marks | |
make -f CMakeFiles/Makefile2 all | |
make[1]: Entering directory '/home/panmari/oiio/build' | |
make -f src/libutil/CMakeFiles/OpenImageIO_Util.dir/build.make src/libutil/CMakeFiles/OpenImageIO_Util.dir/depend | |
make[2]: Entering directory '/home/panmari/oiio/build' | |
cd /home/panmari/oiio/build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /home/panmari/oiio /home/panmari/oiio/src/libutil /home/panmari/oiio/build /home/panmari/oiio/build/src/libutil /home/panmari/oiio/build/src/libutil/CMakeFiles/OpenImageIO_Util.dir/DependInfo.cmake --color= | |
make[2]: Leaving directory '/home/panmari/oiio/build' | |
make -f src/libutil/CMakeFiles/OpenImageIO_Util.dir/build.make src/libutil/CMakeFiles/OpenImageIO_Util.dir/build | |
make[2]: Entering directory '/home/panmari/oiio/build' |
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# This is the CMakeCache file. | |
# For build in directory: /home/panmari/oiio/build | |
# It was generated by CMake: /usr/bin/cmake | |
# You can edit this file to change values found and used by cmake. | |
# If you do not want to change any of the values, simply exit the editor. | |
# If you do want to change a value, simply edit, save, and exit the editor. | |
# The syntax for the file is as follows: | |
# KEY:TYPE=VALUE | |
# KEY is the name of a variable in the cache. | |
# TYPE is a hint to GUIs for the type of VALUE, DO NOT EDIT TYPE!. |
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import tensorflow as tf | |
import copy | |
epochs = 5 | |
filename_seed = 4 | |
capacity = 32 | |
batch_size = 255 | |
import string | |
import random |
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channels = 32 | |
img_size = 128 | |
W_conv1 = weight_variable([5, 5, 1, channels]) | |
h_conv1 = tf.nn.relu(conv2d(x_image, W_conv1)) | |
# Produces a tensor of size [-1, img_size, img_size, channels] | |
## Prepare for visualization | |
# Take only convolutions of first image, discard convolutions for other images. | |
V = tf.slice(h_conv1, (0, 0, 0, 0), (1, -1, -1, -1), name='slice_first_input') |
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# Using opencv for borderless cloning. | |
import cv2 | |
import numpy as np | |
# Read images : src image will be cloned into dst | |
im_filename = "wolf.jpg" | |
im = cv2.imread(im_filename) | |
obj= cv2.flip(cv2.imread("hamster.jpg"), 1) | |
mask = cv2.flip(cv2.imread("hamster_mask.png"), 1) | |
mask = cv2.cvtColor(mask, cv2.COLOR_RGB2GRAY) |
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OpenCV version: 3.0.0-dev | |
OpenCV VCS version: 3.0.0-556-g33f5ac5 | |
Build type: release | |
Parallel framework: pthreads | |
CPU features: mmx sse sse2 sse3 | |
OpenCL Platforms: | |
NVIDIA CUDA | |
dGPU: GeForce GTX TITAN (OpenCL 1.2 CUDA) | |
Current OpenCL device: | |
Type = dGPU |
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0.0015717675, 3.1868962E-4, 1.1206594, 0.5 | |
-3.1435353E-4, 0.0015503819, 0.5213502, 0.5 | |
5.2392254E-5, -2.58397E-4, 0.92690206, 3.0 | |
0.0, 0.0, 0.0, 1.0 |
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2.2.1 :001 > I18n.locale = :'pt-BR' | |
=> :"pt-BR" | |
2.2.1 :002 > I18n.l(Date.new, format: :very_long) | |
=> "Segunda, 01 de Janeiro de -4712, 00:00 h" | |
2.2.1 :003 > Date.new.strftime("%A, %d de %B de %Y, %H:%M h") | |
=> "Monday, 01 de January de -4712, 00:00 h" |
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# /etc/init/sidekiq.conf - Sidekiq config | |
# This example config should work with Ubuntu 12.04+. It | |
# allows you to manage multiple Sidekiq instances with | |
# Upstart, Ubuntu's native service management tool. | |
# | |
# See workers.conf for how to manage all Sidekiq instances at once. | |
# | |
# Save this config as /etc/init/sidekiq.conf then manage sidekiq with: | |
# sudo start sidekiq index=0 |
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