geohot

guess = np.concatenate([np.array(map(lambda x: np.array(x[:,3]).ravel(), rts)), fpts[:, 0:3]], axis=0)
selects = []
xys  = []
for i, trk in enumerate(good_good_tracks):
  for shot, kp in trk:
    xy = G.node[(shot,kp)]['kp']/0.81412059
    xys.append(xy)
    select = np.zeros((len(frms)+len(good_good_tracks),))
    select[shot] = 1
    select[len(frms)+i] = 1

geohot

from keras.models import Sequential, Model
from keras.layers import Dense, Input, BatchNormalization as BN

input_img1 = Input(shape=(4,), name="input_img1")

vision_model = Sequential()
vision_model.add(Dense(4, input_shape=(4,)))
vision_model.add(BN(axis=1))
vision_model.add(Dense(4))

geohot

# extract ILSVRC2012 without killing your SSD

import tarfile
import os
import sys

def mkdir(x):
  try:
    os.makedirs(x)
  except OSError, e: