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#! /bin/bash | |
# Written by Mark Lee (github.com/minhoolee), August 9, 2018 | |
set -e | |
# Define the directory that contains specific file structure | |
# Must be DEFECTS > SAMPLES > MODEL_IMAGES | |
test_dir=./data | |
# Define the model names |
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#! /bin/sh | |
# Install script for the latest version of OpenCV with python support and the extra modules added | |
# If installing with python, make sure to start the virtualenv before running the script | |
# Tested on Ubuntu 16.04 LTS, x64 | |
# Written by Min Hoo Lee | |
# December 28, 2016 (12/28/2016) | |
# Exit script on failure | |
set -e |
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from __future__ import print_function | |
import imageio | |
from PIL import Image | |
import numpy as np | |
import keras | |
from keras.layers import Input, Dense, Conv2D, MaxPooling2D, AveragePooling2D, ZeroPadding2D, Dropout, Flatten, Concatenate, Reshape, Activation | |
from keras.models import Model | |
from keras.regularizers import l2 | |
from keras.optimizers import SGD |
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#! /bin/sh | |
# Install script for mjpg-streamer | |
# Written by Min Hoo Lee | |
# March 27, 2016 (3/27/16) | |
# Install dependencies | |
sudo apt-get install imagemagick libv4l-dev libjpeg-dev | |
git clone https://github.com/codewithpassion/mjpg-streamer.git | |
cd mjpg-streamer/mjpg-streamer |
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## Refer to http://caffe.berkeleyvision.org/installation.html | |
# Contributions simplifying and improving our build system are welcome! | |
# cuDNN acceleration switch (uncomment to build with cuDNN). | |
USE_CUDNN := 1 | |
# CPU-only switch (uncomment to build without GPU support). | |
# CPU_ONLY := 1 | |
# uncomment to disable IO dependencies and corresponding data layers |
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" Settings | |
"set nohud | |
set smoothscroll | |
set typelinkhints | |
set cncpcompletion | |
set autoupdategist | |
set nochangelog | |
let searchlimit = 45 | |
let scrollstep = 150 |