I was following the codelabs tensorflow for poets and the training worked fine but when I runned the script to evaluate a image:
python -m scripts.label_imag
Sorry for late answer. I run python script below with a retrained model. Can you try this one?
Requirements: labels.txt and output.pb(retrained model) should be at same directory with my python scipt. Save code below as test.py And call it as: python test.py xxx.jpg
import sys
import tensorflow as tf
image_path = sys.argv[1]
image_data = tf.gfile.FastGFile(image_path, 'rb').read()
label_lines = [line.rstrip() for line
in tf.gfile.GFile("./labels.txt")]
with tf.gfile.FastGFile("./output.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:
softmax_tensor = sess.graph.get_tensor_by_name('final_result:0')
predictions = sess.run(softmax_tensor, \
{'DecodeJpeg/contents:0': image_data})
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))