301f593e6d80712315ec965996cdccb9a20b54c0,examples/pretrained_cnn/tutorial_models_squeezenetv1.py,,,#,13
Before Change
img1 = tl.vis.read_image("data/tiger.jpeg")
img1 = tl.prepro.imresize(img1, (224, 224))
_ = sess.run(probs, feed_dict={x: [img1]})[0] // 1st time takes time to compile
start_time = time.time()
prob = sess.run(probs, feed_dict={x: [img1]})[0]
print(" End time : %.5ss" % (time.time() - start_time))
preds = (np.argsort(prob)[::-1])[0:5]
for p in preds:
print(class_names[p], prob[p])
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()
print(" End time : %.5ss" % (time.time() - start_time))
preds = (np.argsort(prob)[::-1])[0:5]
for p in preds:
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 14
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: 64e0b2eece79af2a8ddac24d2d7e024996dc2426
Time: 2019-02-19
Author: 37874862+warshallrho@users.noreply.github.com
File Name: examples/pretrained_cnn/tutorial_models_vgg16.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: