Open constructor-igor opened 7 years ago
source https://www.youtube.com/watch?v=cSKfRcEDGUs https://codelabs.developers.google.com/codelabs/tensorflow-for-poets/?utm_campaign=chrome_series_machinelearning_063016
download data curl -O http://download.tensorflow.org/example_images/flower_photos.tgz
download training code curl -O https://raw.githubusercontent.com/tensorflow/tensorflow/r1.1/tensorflow/examples/image_retraining/retrain.py
training python retrain.py \ --bottleneck_dir=bottlenecks \ --how_many_training_steps=500 \ --model_dir=inception \ --summaries_dir=training_summaries/basic \ --output_graph=retrained_graph.pb \ --output_labels=retrained_labels.txt \ --image_dir=flower_photos
board run 'tensorboard --logdir=training_summaries/basic' open http://localhost:6006/#graphs
test download test program curl -L https://goo.gl/3lTKZs > label_image.py run 'python label_image.py flower_photos/daisy/21652746_cc379e0eea_m.jpg'
file 'label_image.py' content
import os, sys
import tensorflow as tf
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
# change this as you see fit
image_path = sys.argv[1]
# Read in the image_data
image_data = tf.gfile.FastGFile(image_path, 'rb').read()
# Loads label file, strips off carriage return
label_lines = [line.rstrip() for line
in tf.gfile.GFile("retrained_labels.txt")]
# Unpersists graph from file
with tf.gfile.FastGFile("retrained_graph.pb", 'rb') as f:
graph_def = tf.GraphDef()
graph_def.ParseFromString(f.read())
tf.import_graph_def(graph_def, name='')
with tf.Session() as sess:
# Feed the image_data as input to the graph and get first prediction
softmax_tensor = sess.graph.get_tensor_by_name('final_result:0')
predictions = sess.run(softmax_tensor, \
{'DecodeJpeg/contents:0': image_data})
# Sort to show labels of first prediction in order of confidence
top_k = predictions[0].argsort()[-len(predictions[0]):][::-1]
for node_id in top_k:
human_string = label_lines[node_id]
score = predictions[0][node_id]
print('%s (score = %.5f)' % (human_string, score))
https://www.youtube.com/watch?v=cSKfRcEDGUs&list=PLOU2XLYxmsIIuiBfYad6rFYQU_jL2ryal&index=6 https://codelabs.developers.google.com/codelabs/tensorflow-for-poets/?utm_campaign=chrome_series_machinelearning_063016#5