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    def to_pillow(img):
        # https://github.com/imageio/imageio/blob/master/imageio/plugins/pillowmulti.py#L371
        # img = np.concatenate((img,255*np.ones(list(img.shape[:2])+[1],dtype='uint8')),axis=-1)
        # img = Image.fromarray(img.astype('uint8'), 'RGBA')
        img = Image.fromarray(img.astype('uint8'), 'RGB')
        # a_channel = Image.new('L', img.size, 255)  # 'L' 8-bit pixels, black and white
        # img.putalpha(a_channel)
        # p = img.getpalette()
        # img = img.convert('P', dither=None,colors=1024)
        # #img.putpalette

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KCL Medical Imaging CDT partnerships

• Philips Healthcare - Research
• Theragnostics Ltd
• ABL
• Perspectum Diagnostics
Unilever

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UCL Medical Imaging CDT partnerships

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Big players

• Siemens (see Dorin Comaniciu's webpage)
• GE
• Philips
• Microsoft Research Cambridge (see Antonio Crimisi's webpage)

Game changers

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pip install RISE --user
jupyter-nbextension install rise --py --user
jupyter nbextension enable rise --user --py

from http://stackoverflow.com/questions/18770504/resize-ipython-notebook-output-window :

%%html
<style>

.input {

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Notes for MacOSX

• Anaconda installer:

    wget http://09c8d0b2229f813c1b93-c95ac804525aac4b6dba79b00b39d1d3.r79.cf1.rackcdn.com/Anaconda-2.1.0-MacOSX-x86_64.sh
  

• When installing opencv:

conda install opencv

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cmake -D OpenMP_CXX_FLAGS:STRING=-fopenmp -D OpenMP_C_FLAGS:STRING=-fopenmp -D CMAKE_CXX_COMPILER:FILEPATH=/usr/local/bin/clang-omp++ -D CMAKE_C_COMPILER:FILEPATH=/usr/local/bin/clang-omp ..

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brew install graphviz
pip install theano pydot-ng keras h5py

Bleeding edge:

pip install git+https://github.com/fchollet/keras.git --upgrade

OpenMP support

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git clone https://github.com/BioMedIA/MIRTK.git
cd MIRTK/
git submodule update --init
mkdir build
cd build/
cmake ..
ccmake ..

make -j 8

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Cython documentation on parallelism

http://docs.cython.org/src/userguide/parallelism.html

Using OpenMP on Mac OS X

https://clang-omp.github.io/