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import numpy as np | |
import tensorflow as tf | |
from tensorflow.python.layers import core as layers_core | |
hparams = tf.contrib.training.HParams( | |
batch_size=3, | |
encoder_length=4, | |
decoder_length=5, | |
num_units=6, | |
src_vocab_size=7, |
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sep_len | sep_wid | pet_len | pet_wid | class | |
---|---|---|---|---|---|
5.1 | 3.5 | 1.4 | 0.2 | Iris-setosa | |
4.9 | 3.0 | 1.4 | 0.2 | Iris-setosa | |
4.7 | 3.2 | 1.3 | 0.2 | Iris-setosa | |
4.6 | 3.1 | 1.5 | 0.2 | Iris-setosa | |
5.0 | 3.6 | 1.4 | 0.2 | Iris-setosa | |
5.4 | 3.9 | 1.7 | 0.4 | Iris-setosa | |
4.6 | 3.4 | 1.4 | 0.3 | Iris-setosa | |
5.0 | 3.4 | 1.5 | 0.2 | Iris-setosa | |
4.4 | 2.9 | 1.4 | 0.2 | Iris-setosa |
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Num Floors | R Total Rms | Avg. Av Total | |
---|---|---|---|
3 | 22 | 670400 | |
3 | 21 | 568000 | |
3 | 20 | 523700 | |
3 | 19 | 483800 | |
3 | 18 | 538885.714285714 | |
2 | 18 | 609700 | |
3 | 17 | 497461.111111111 | |
2 | 17 | 491800 | |
3 | 16 | 413650 |
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#!/usr/bin/env python | |
""" Video stabilization with OpenCV (>=2.3) and Hugin | |
Adrien Gaidon | |
INRIA - 2012 | |
TODO: add cropping, clean-up and improve doc-strings | |
""" |