What is the exact cause of the crash? about interactive-deep-colorization

[mrlzc]

@SleepProgger
Use the parameter --cpu_mode for that.But still crashes,it show the message:

I0526 16:03:39.424075 5657 net.cpp:744] Ignoring source layer loss_class_SoftmaxLossPred_0_split
I0526 16:03:39.424103 5657 net.cpp:744] Ignoring source layer loss_log
Setting ab cluster centers in layer: pred_ab
Setting upsampling layer kernel: pred_313_us
test_imgs/mortar_pestle.jpg
scale = 2.000000
Has been killed

How can i solve this problem?

[SleepProgger]

Use the parameter --cpu_mode for that.
That was added 2 days ago so you might need to update.
But it will be pretty slow.

[SleepProgger]

It looks like you used the caffe-cpu packages.
You can only have caffe-cpu OR caffe-gpu installed at the same time.
This error will occur if you try to use the GPU mode with caffe-cpu.

[vlasenkov]

But ideepcolor.py uses caffe-gpu by default. Is there a way to run it with caffe-cpu?

[vlasenkov]

--cpu_mode option worked for me

[junyanz]

@mrlzc Have you tried to compile the Caffe with the python layer support? See this post for more details.

[BRUCE6]

same as @mrlzc , also I have compiled the caffe with the python layer support

[mrlzc]

I have solved this problem by changing the configuration of the virtual machine,can not compiled before because the virtual machine memory is too small,you can try it.
good luck for you.

[BRUCE6]

Thanks for your tip! How much memory does it need? And how long does it need to process until the qt window shows up?

[junyanz]

I can run the program on a GTX 1080 with 8 GB memory. The program consumes 4.5 GB GPU memory for the default test image mortar_pestle.jpg.

[mrlzc]

The beginning of the virtual machine is the use of 4G memory,and then appeared above the kind of problem,then changed the memory from 4G to 8G,wait for a few minutes to complete all the operations.