301f593e6d80712315ec965996cdccb9a20b54c0,examples/pretrained_cnn/tutorial_models_squeezenetv1.py,,,#,13
Before Change
import tensorlayer as tl
from tensorlayer.models.imagenet_classes import class_names
tf.logging.set_verbosity(tf.logging.DEBUG)
tl.logging.set_verbosity(tl.logging.DEBUG)
x = tf.placeholder(tf.float32, [None, 224, 224, 3])
After Change
img1 = tl.vis.read_image("data/tiger.jpeg")
img1 = tl.prepro.imresize(img1, (224, 224)) / 255
img1 = img1.astype(np.float32)[np.newaxis, ...]
start_time = time.time()
output = squeezenet(img1, is_train=False)
prob = tf.nn.softmax(output)[0].numpy()
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 5
Instances
Project Name: tensorlayer/tensorlayer
Commit Name: 301f593e6d80712315ec965996cdccb9a20b54c0
Time: 2019-04-24
Author: rundi_wu@pku.edu.cn
File Name: examples/pretrained_cnn/tutorial_models_squeezenetv1.py
Class Name:
Method Name:
Project Name: tensorlayer/tensorlayer
Commit Name: 301f593e6d80712315ec965996cdccb9a20b54c0
Time: 2019-04-24
Author: rundi_wu@pku.edu.cn
File Name: examples/pretrained_cnn/tutorial_models_squeezenetv1.py
Class Name:
Method Name:
Project Name: tensorlayer/tensorlayer
Commit Name: 13ed139f539684bf39919963241bf37ab2967d77
Time: 2019-04-23
Author: rundi_wu@pku.edu.cn
File Name: examples/pretrained_cnn/tutorial_models_mobilenetv1.py
Class Name:
Method Name:
Project Name: tensorlayer/tensorlayer
Commit Name: 91db4bbcb611bacb1c5f615efaaf5b9b91252d6f
Time: 2019-03-21
Author: rundi_wu@pku.edu.cn
File Name: tests/layers/test_layernode.py
Class Name:
Method Name: