is there anyone have successfully load the pretrained model in code?

[Yiman-GO]

is there anyone have successfully load the pretrained model in code?
I have no idea about it.
I have tried :
saver1 = tf.train.import_meta_graph(pretrained_meta)
saver1.restore(sess, pretrained_ckpt)
but it tells me that "At least two variables have the same name"
if you have loaded successfully, please tell me your method. I will appreciate it.

[GabrielXia]

Hi @Yiman-GO, I tried something just like you did

with tf.Session() as sess:
    saver = tf.train.import_meta_graph('ResNet-L152.meta')
    saver.restore(sess, "ResNet-L152.ckpt")

And it worked fine, hope it helps !

[Yiman-GO]

@GabrielXia I tried but it doesn't work. Can I have a look at your code？ I am confused where to add the code.
Also, have you had an implementation on your own data successfully? I abandoned the pretrained model but! it doesn't work. it said that loss is nan. I have no idea about it.
Thank you very much.

[cardwing]

The following code works for me where I load the weight of 2D ResNet-50 model into 3D ResNet-50 model:
with tf.Session() as sess:
# build 3D ResNet-50
saver = tf.train.import_meta_graph('/DATA/houyn/pre-trained-models/models/ResNet-L50.meta')
saver.restore(sess, '/DATA/houyn/pre-trained-models/models/ResNet-L50.ckpt')
var_list = saver._var_list
value=[]
for i in range(265):
tmp = sess.run(var_list[i], feed_dict={})
if tmp.shape[0] < 10:
tmp = [tmp / 1.0 / tmp.shape[0] for _ in range(tmp.shape[0])]
tmp = np.stack(tmp, axis=0)
value.append(tmp)
You can use PyCharm to view the variable values and its names in the debug mode.

[SongleChen2015]

@cardwing can you tell me where i can download 3D ResNet-50 model, thanks.

[cardwing]

@SongleChen2015, the following URL stores the model of 3d resnet-50, please check.
https://drive.google.com/open?id=1WkNtPNqf7-O1-RvXj4auWTH6OYqA2QKG

[SongleChen2015]

@cardwing I have downloaded the 3d resnet-50 model, thanks. Can you show me an example about how to define a 3d renset-50 network by using tensorflow ? Thanks again.

[berylyellow]

Hi @Yiman-GO, I tried something just like you did

with tf.Session() as sess:
    saver = tf.train.import_meta_graph('ResNet-L152.meta')
    saver.restore(sess, "ResNet-L152.ckpt")

And it worked fine, hope it helps !

When I do this, get:
ValueError: At least two variables have the same name: fc/biases
How to solve it?