peiyunh

num_proc = 8

procs = []
running = []
for command in commands: 
  while (sum(running) >= num_proc): 
    for i, proc in enumerate(procs): 
      running[i] = (proc.poll() is None)
    time.sleep(1.0)
  procs.append(subprocess.Popen(command, shell=True))

peiyunh

name: "vgg16_sbdd"
layer {
  name: "data"
  type: "Python"
  top: "data"
  top: "label"
  top: "inter"
  python_param {
    module: "voc_layers"
    layer: "SBDDInterSegDataLayer"

peiyunh

#
input: "data"
input_dim: 1
input_dim: 3
input_dim: 713
input_dim: 713

layer {
  name: "conv1_1_3x3_s2"
  type: "Convolution"

peiyunh

#
input: "data"
input_dim: 1
input_dim: 3
input_dim: 473
input_dim: 473

layer {
  name: "conv1_1_3x3_s2"
  type: "Convolution"

peiyunh

pdfs=`ls val/*/*_crop.pdf`
for pdf in $pdfs; do
    png=${pdf//_crop.pdf/.png}
    convert -quiet $pdf $png
    echo "$pdf => $png"
done

peiyunh

types="easy medium hard"
for t in $types; do
    pngs=`ls val/*/*_${t}.png | sort -k2 -th -n`
    montage -tile 10x5 -mode Concatenate $pngs prec_rec_${t}_summary.png
    echo "export summary of $t done"
done

peiyunh

files=`ls val/*/*.pdf`
for f in $files; do
    fnew=${f//.pdf/_crop.pdf}
    if [ ! -f $fnew ]; then
        pdfcrop --noverbose $f $fnew
        echo "$f done"
    fi
done

peiyunh

vl_compilenn('enableImreadJpeg', true, 'enableGpu', true, 'cudaRoot', '/usr/local/cuda',...
             'cudaMethod', 'nvcc', 'enableCudnn', true, 'cudnnRoot', '/home/peiyunh/cudnn',...
             'ImageLibraryCompileFlags',{'-I/home/peiyunh/.local/include/'},...
             'ImageLibraryLinkFlags',{'-L/home/peiyunh/.local/lib/','-ljpeg'});

peiyunh

convert favicon.png -define icon:auto-resize=64,48,32,16 favicon.ico

peiyunh

defaults write -app Skim SKAutoReloadFileUpdate -boolean true