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def augment(images, labels,
            resize=None, # (width, height) tuple or None
            horizontal_flip=False,
            vertical_flip=False,
            rotate=0, # Maximum rotation angle in degrees
            crop_probability=0, # How often we do crops
            crop_min_percent=0.6, # Minimum linear dimension of a crop
            crop_max_percent=1.,  # Maximum linear dimension of a crop
            mixup=0):  # Mixup coeffecient, see https://arxiv.org/abs/1710.09412.pdf
  if resize is not None:

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def get_versions():
  versions = []

  import sys
  versions.append('Python verison: {}.{}.{}'.format(sys.version_info.major, sys.version_info.minor, sys.version_info.micro))

  import cv2
  versions.append('OpenCV: {}'.format(cv2.__version__))

  import numpy as np

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#include <opencv2/highgui.hpp>
#include <opencv2/videoio.hpp>

int main(int argc, char** argv) {
  cv::VideoCapture cap(0);
  // cap.set(cv::CAP_PROP_FRAME_WIDTH, 1280);
  // cap.set(cv::CAP_PROP_FRAME_HEIGHT, 720);

  cv::Mat im;

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/**
 * OpenCV video streaming over TCP/IP
 * Client: Receives video from server and display it
 * by Steve Tuenkam
 */

#include "opencv2/opencv.hpp"
#include <sys/socket.h> 
#include <arpa/inet.h>
#include <unistd.h>

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/**
 * @brief     Image enchancement and Hough transform example
 * @author    Eugene Khvedchenya <[email protected]>
 * @copyright computer-vision-talks.com/articles/how-to-detect-circles-in-noisy-image/
 */



#include <opencv2/opencv.hpp>

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# create new build dir
rm -rf build
cd build
cmake .. # some options
cmake --build . --config release --target install # build install
cmake --build . --config releasee --target clean # cleanup

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cmake -DWITH_CUDA=ON -DWITH_CUFFT=ON -DWITH_CUBLAS=ON -DCMAKE_BUILD_TYPE=Release -DOPENCV_EXTRA_MODULES_PATH=../../opencv_contrib/modules -DBUILD_TESTS=OFF -D BUILD_PERF_TESTS=OFF -D BUILD_DOCS=OFF -DCUDA_ARCH_BIN=3.0 -DCUDA_ARCH_PTX=3.0 -DPYTHON2_LIBRARY=$(python-config --prefix)/lib/libpython2.7.dylib -DPYTHON2_INCLUDE_DIR=$(python-config --prefix)/include/python2.7 ..

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#!/usr/bin/env python
from glob import glob                                                           
import cv2 

jpgs = glob('./*.jpg')
shapes = [cv2.imread(f).shape for f in jpgs]
a = [list(i) for i in shapes]
width = [row[1] for row in a]
height = [row[0] for row in a]
print 'width min:', min(width), ', max:', max(width), '; height min:', min(height), ', max:', max(height)

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#!/usr/bin/env python
from glob import glob                                                           
import cv2 
pngs = glob('./*.png')

for j in pngs:
    img = cv2.imread(j)
    cv2.imwrite(j[:-3] + 'jpg', img)

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// Accept any number of args >= N, but expand to just the Nth one.
// Here, N == 6.
#define _GET_NTH_ARG(_1, _2, _3, _4, _5, N, ...) N

// Define some macros to help us create overrides based on the
// arity of a for-each-style macro.
#define _fe_0(_call, ...)
#define _fe_1(_call, x) _call(x)
#define _fe_2(_call, x, ...) _call(x) _fe_1(_call, __VA_ARGS__)
#define _fe_3(_call, x, ...) _call(x) _fe_2(_call, __VA_ARGS__)