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filename = "vector_strip2_256x256_over32/vector_strip2_8790.TIF"

file1 = "Fold_0/"+filename
file2 = "Gts/"+filename

from skimage import io
import numpy as np
import matplotlib.pyplot as plt

# The prediction

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# Train NN on some specific task (perhaps looking at some type of data)
# starts with ImageNet weights, but these are changed accordingly to what your task needs.
# later we can load these weights into the SiameseUnet model as a specific encoder (instead of using the Imagenet defaults).

import matplotlib, os, glob, fnmatch
if not('DISPLAY' in os.environ):
    matplotlib.use("Agg") # when running over ssh on server

# FORCE CPU
#import os

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mogrify -font Liberation-Sans -fill white -undercolor '#00000080' -pointsize 26 -gravity NorthEast -annotate +10+10 %t *.jpg

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# [SETUP, get these:]
# built_graph/yolo.meta
# built_graph/yolo.pb
# (using # flow --model cfg/yolo.cfg --load bin/yolo.weights --savepb)

from darkflow.net.build import TFNet

import numpy
import os, fnmatch, random
import cv2

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from keras.models import Sequential
from keras.layers import Dense, Conv2D, MaxPooling2D, Flatten

model = Sequential()
model.add(Conv2D(32, (3,3), activation='relu', input_shape=input_shape))
model.add(Flatten())
model.add(Dense(10))

model.summary()

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# link https://github.com/platanus/openface-api
(had this before)
(installed docker)
docker pull bamos/openface

git clone https://github.com/platanus/openface-api.git
cd openface-api

git init
git add --all

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import os, fnmatch, random
import json
from pprint import pprint

def load(path, keywords_find, keywords_exclude):
    # Frames to crops
    files = sorted(os.listdir(path))
    #print("files",len(files), files[0:10])
    files = fnmatch.filter(files, '*.json')
    random.shuffle(files)

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ctrl + z    = will suspend the currently foregrounded program
jobs        = see suspended / running jobs with number
bg          = will run in background (the most recently suspended program)
              (use bg %2 with the job number, which you can check with jobs)
fg          = will bring to foreground the most recently suspended program

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# thanks to https://github.com/bapoczos/ArtML/blob/master/fast-style-transfer/transform_video.py
# thanks to Barnabas Poczos and Gene Kogan

import subprocess, shutil
import os, fnmatch

        in_args = [
            'ffmpeg',
            '-i', in_path,
            '%s/frame_%%d.png' % in_dir

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#when facing similar issue to the one mentioned at https://github.com/tensorflow/tensorflow/issues/1439

    import tensorflow as tf
    print("Count of global variables", len(tf.global_variables()))
    print("Count of graph elements",len(tf.get_default_graph().get_operations()))