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TFUG Okinawa val.2
ΞΠύʔୂ@ླྀٿେֶ
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औΓʹདྷͨ
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ຊ͓͢Δ͜ͱ
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ຊ͓͔ͨͬͨ͜͠ͱ
• YOLOͱ
• TensorflowͰΜͰΈͨ
• ΜͰΈͨYOLOΛֶशͤͯ͞Έͨ
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ຊ͓͔ͨͬͨ͢͠Δ͜ͱ
• YOLOͱ
• TensorflowͰΜͰΈͨ
• ΜͰΈͨYOLOΛֶशͤͯ͞Έͨ
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ࣗݾհ
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ࣗݾհ
• ΞΠύʔୂ
• ͪΎΒσʔλגࣜձࣾ
• PyData.OkinawaڞಉΦʔΨφΠβʔ
• Pythonͱո्ͱΫιΈ͍ͨͳөը͕͖Ͱ͢
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ͷϨϕϧ
• ֶΘ͔ΒΜ
• TensorflowΘ͔ΒΜ
• σΟʔϓϥʔχϯάઙ͍ཧղ
• ͭ·Γॳ৺ऀ
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(YOLOΛબͨ͠)
ܦҢ
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ܦҢ
Ϙεʣը૾ೝࣝͷҊ݅͘ΔΑʂ
ʣ͓ɺ͕ΜΔ͍ͧ
Ϙεʣ·ͩΘ͔ΒΜ͚ͲObject DetectionͬΆ͍Αʂʂ
ʣ;͊ʔʔʔ
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ษڧͤͶʢਅإʣ
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YOLO(v3)
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YOLOͱ
• ϦΞϧλΠϜΦϒδΣΫτݕग़ΞϧΰϦζϜ
• YOLO(You Look Only Onse)
• darknetͱ͍͏ϑϨʔϜϫʔΫͰಈ͔ͤΔ
• σϞ͕͋Δ
• ʢݕग़͕ʣ͍
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darknet
https://pjreddie.com/darknet/
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YOLOͱ
• ը૾ೖྗ͢ΔͱӈԼͷΑ͏ͳ݁ՌʹͳΔ
• ʮͷʯͷݕग़͢Δ͚ͩ
Ͱͳ͘ɺΫϥεྨ
͢Δɻ͠Ύ͍͝
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YOLOͱ
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YOLOͷΈ
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YOLOͷΈ
• ʢ·ʹ͋Θͳ͔ͬͨ͝ΊΜʣ
• ͕ͬͪ͜Θ͔Γ͍͢ͷͰ֬ೝ͍ͯͩ͘͠͞
• https://github.com/leetenki/YOLOv2/blob/
master/YOLOv2.md
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YOLOͷΈ
• ʢ·ʹ͋Θͳ͔ͬͨ͝ΊΜʣ
• ͕ͬͪ͜Θ͔Γ͍͢ͷͰ֬ೝ͍ͯͩ͘͠͞
• https://github.com/leetenki/YOLOv2/blob/
master/YOLOv2.md
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No content
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ֶͼͷಓΛΓସ͑Δ
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पΓͷऀͷֶͼํ
1. จಡΉ
2. هࣄΛړΔ
3. ཧղͨ͠ɻΑ࣮͠͠Α͏
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΅͘ʢLv.1ʣ
1. ਆ༷ʢ࣮͍ͯ͠ΔਓɾίʔυʣΛݟ͚ͭΔ
2. ࣸܦ͢Δ
3. ͬ͘͟Γཧղͨ͠ -> هࣄړΔ
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ਆ༷ʢ࣮ʣΛ୳͢
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ਆ͍ͨ
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ਆͷهࣄ
https://itnext.io/implementing-yolo-v3-in-tensorflow-tf-slim-c3c55ff59dbe
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ࣸܦ͢Δ
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ͦͷલʹڥͷ
• Ubuntu 16.04(Docker)
• Python 3.7(Anaconda)
• Tensorflow 1.12
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Tensorflow Πϯετʔϧ
$ pip3 install --upgrade tensorflow
Collecting tensorflow
Could not find a version that satisfies the requirement
tensorflow (from versions: )
No matching distribution found for tensorflow
ݟ͔ͭΒͳ͍ͱɾɾɾɾʁ
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ఘΊͳ͍ؾ࣋ͪ
$ pip3 install —upgrade https://storage.googleapis.com/tensorflow/
mac/cpu/tensorflow-1.10.1-py3-none-any.whl
https://qiita.com/nahshi/items/fcf4898f7c45f11a5c63
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ʗ(^o^)ʘ
Traceback (most recent call last):
File "YOLO_small_tf.py", line 3, in
import tensorflow as tf
File "/opt/conda/lib/python3.7/site-packages/tensorflow/__init__.py",
line 22, in
from tensorflow.python import pywrap_tensorflow # pylint:
disable=unused-import
File "/opt/conda/lib/python3.7/site-packages/tensorflow/python/
__init__.py", line 49, in
from tensorflow.python import pywrap_tensorflow
File "/opt/conda/lib/python3.7/site-packages/tensorflow/python/
pywrap_tensorflow.py", line 58, in
from tensorflow.python.pywrap_tensorflow_internal import *
File "/opt/conda/lib/python3.7/site-packages/tensorflow/python/
pywrap_tensorflow_internal.py", line 114
def TFE_ContextOptionsSetAsync(arg1, async):
^
SyntaxError: invalid syntax
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པΜͩGoogle͞Μ
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ఘΊͨ
• Ubuntu 16.04(Docker)
• Python 3.7 3.6(Anaconda)
• Tensorflow 1.12
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ʢվΊͯʣ
ࣸܦ͢Δ
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ͬͨ͜ͱ
• YOLOv3ͷϞσϧͷఆٛ
• yolov3ͷॏΈΛtensorfowͰಡΈࠐΊΔ༻ɺ
convert͢Δॲཧ
• σϞεΫϦϓτ
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ࡶͳίϝϯτΛͭͭ͠
ࣸܦͰ͖ͨ
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࣮ߦͨ݁͠Ռ
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࣮ߦͨ݁͠Ռ
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ʢͱΓ͋͑ͣʣ
͓k
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͜ͷޙɺࣗͰֶशͤͨ͞Γɺ
FineTuningͱ͔֎Εσʔλͷ
ߟͱ͔ͬͯΈ͔͚ͨͬͨͲ
ཧղ͕ؒʹ߹Θͳ͔ͬͨͷͰ
Tensorflowͷ࣮ͷΛ͠·͢
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࣮ͷ
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• ײతʹɺKerasΈ͍ͨʹॻ͚Δ
• tf.contrib.kerasɾɾɾʁ
• tf.contribtensorflowνʔϜαϙʔτ͠
͍ͯͳ͍͚Ͳɺςετऴ͍͑ͯͣΕϚʔδ
͍ͨ͠ΑͶతͳύοέʔδΒ͍͠
࣮ͷ tf.contrib.slim
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࣮ͷ tf.contrib.slim
with slim.arg_scope([slim.max_pool2d], padding=‘SAME’):
# Layer01
h_conv1 = slim.conv2d(x_image, 32, [5, 5])
h_pool1 = slim.max_pool2d(h_conv1, [2, 2])
# Layer02
h_conv2 = slim.conv2d(h_pool1, 64, [5, 5])
h_pool2 = slim.max_pool2d(h_conv2, [2, 2])
# Layer03
h_pool2_flat = slim.flatten(h_pool2)
h_fc1 = slim.fully_connected(h_pool2_flat, 1024)
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• with۟ͰϒϩοΫΛ࡞ΓɺϒϩοΫͷؔ
ͷσϑΥϧτҾΛ·ͱΊͯఆٛͰ͖Δ
• ͨͩͨͩศར
࣮ͷ slim.arg_scope()
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࣮ͷ slim.arg_scope()
h_conv1 = slim.conv2d(x_image, 32, [5, 5], activation_fn=tf.nn.relu,
weights_initializer=tf.truncated_normal_initializer(stddev=0.1),
biases_initializer=tf.constant_initializer(0.1))
with slim.arg_scope([slim.conv2d], activation_fn=tf.nn.relu,
weight_initializer=tf.truncated_normal_initializer(stddev=0.1),
biases_initializer=tf.constant_initializer(0.1):
h_conv1 = slim.conv2d(x_image, 32, [5, 5])
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• ఆֶٛͨ͠शάϥϑΛඳըͯ͘͠ΕͨΓɺॏ
ΈΛάϥϑԽͨ͠ΓͱԿ͔ͱศརͳͭ
Tensorboard
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Tensorboard ͏ͨΊͷ࣮
(ఆٛͨ͠άϥϑඳըͷΈ)
with tf.Session() as sess:
# tensorboard
file_writer = tf.summary.FileWriter('./logs/', sess.graph)
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Tensorboard
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ҙ͍ͨ͜͠ͱ
with tf.variable_scope(‘darknet-53'):
route_1, route_2, inputs = darknet53(inputs)
with tf.variable_scope('yolo-v3'):
with tf.variable_scope('detect_1'):
route, inputs = _yolo_block(inputs, 512)
• ఆ͚ٛͨͩ͠Ͱ
άϥϑݟͮΒ͍
• είʔϓΛ
༻ҙ͠·͠ΐ͏
είʔϓແ
είʔϓ༗
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ཧղ͢ΔͨΊʹࢼߦͨ͠
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• ίʔυΛཧղ͠Α͏ͱͨ͠ͱ͖ɺೖྗͱग़ྗ
ΒɺมͷதΛ֬ೝ͠ͳ͕ΒΓ·ͤΜ
͔ʁ
• Γ·͢
• ͱ͍͏͜ͱͰɺ࠷ڧͷprintσόοάΛࢼͦ͏
ͱ͠·ͨ͠
Tensorflowͷσόοά
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• ʗ(^o^)ʘ
• TensorflowάϥϑΛߏͨ͋͠ͱʹσʔλ
Λྲྀͯ͠ॲཧ͢ΔͷͰɺఆ͍ٛͯ͠Δͱ͜Ζ
Λεςοϓͯ͠printͯ͠Θ͔Βͳ͍
࠷ڧͷprintσόοά
Tensor("xxx:0", shape=TensorShape([Dimension(1), Dimension(1)]), dtype=float32)
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tf.print
• ೖྗ͞ΕͨTensorͷ݁ՌΛɺ
stdoutΒɺϩάϨϕϧͰग़ྗͯ͘͠ΕΔ
• ਆ
• ͪͳΈʹ͍͚͜͠Ͳɺtf.PrintҾҧ͏͠ඇਪͰ͢
• ͔͠͠ɺSessionฦ͞ͳ͍ͱ͍͚ͳ͍ͷͰɺϞσϧΛఆٛ͢Δͱ͜ΖʹΈࠐΉ࡞ۀ
ʹϋϚͬͨ
• ·ͨɺTensorflowͰఆٛͨ͠มͷதݟΕ͕ͨɺ࣍ݩΛ֬ೝ͢ΔͨΊʹtf.shape
ͱ͔ڬΉͱ݁Ռ͕ฦͬͯ͜ͳ͘ͳΔɻͳͥ
• ʢ͕࣌ؒͳ͍ͷͰʣఘΊͨ
tensor = tf.range(10)
print_op = tf.print(tensor)
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tfdebug
• Tensorflow༻ͷPythonͷpdbΈ͍ͨͳͭ
• https://www.tensorflow.org/guide/debugger
• λʔϛφϧͰṖͷςΫϊϩδʔUI
• ͍͍͢ʢ͍ͮΒ͍ʣ
• ݟํ͕Θ͔Βͳ͍ͷͰΠϥΠϥͭͭ͠υΩϡϝϯτ
ಡΈͳ͕Β֬ೝதʢʣ
• vimϥΠΫ͡Όͳ͍ͱݏ
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ࡶʢͳʣ
ײʢʣ
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ࡶײ
• Θ͔ΒΜͱ͜Ζ͕Θ͔ͬͨ
• ͍͍ͩͧʂʢܾͯ͠ෛ͚੯͠ΈͰͳ͍ʣ
• จಡ͏
• Tensorflowֶɺͬͱ͕ΜΓ·͠ΐ͏
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