Please guide install step by step

[manhmanh189]

I download Caffe and Interactive zip ..
But i can't run them?

i use mac os please guide step by step

Thanks

[sg-s]

you have to be more clear -- what did you do? what interactive zip? did you follow the instructions on the caffe website?

[manhmanh189]

Hi sg-s,
I'm not coder.
Can you make video guide install soft ?
Thank so much :)

[sg-s]

it's fine if you're not a coder -- but please be clear about what you did, and what error you got, otherwise no one can help you effectively.

[omniomi]

@sg-s, I'm not the person who opened this but there are multiple requests for a proper install guide/pre-configed VM/issues with requirements. #14 #3 #7 and #6 and they have not been answered.

There are a large number of dependencies for this project (the short list in the readme is extended when you include the requirements for Caffe and OpenCV) and those requirements are poorly stated in the readme. For one, there is an incomplete prerequisites sections AND a requirements section; However, the real problem is Caffe which has a real mess of an installation guide. Instead of "Install Caffe and Python libraries (OpenCV)" in the getting started section it would be nice if someone who has successfully installed all of the prereqs from scratch would list out the whole process:

1. Install x,y,z sudo apt-get install x,y,z (Debian/Ubuntu)
2. Download x wget x
3. Unzip x unzip x
4. ...Run make/config...
   etc etc etc.

Literal step by step instructions where someone starting without Python or any of the other dependencies could be up without needing anything but the readme. Not just "install Caffe" but "Install Caffe following these steps: 1,2,3,4,5." It's also not clear how to switch to CPU mode and other config type things. Granted it's complicated due to the different package managers and Linux versions but I think a Ubuntu install guide would be a safe choice to cover most people.

[sg-s]

@omniomi you should direct this towards @junyanz

[SleepProgger]

In case it helps someone here is what i did to get it running on debian stretch with python 3 (debians repository only has the caffe python module for python3).
If you want to use the notebooks you need some other stuff, but ideepcolor.py should work with this.

Install caffe

Make sure that your /etc/apt/sources.list contains contrib and non-free sections if you want to install the CUDA version, for instance:
deb http://ftp2.cn.debian.org/debian sid main contrib non-free
Then we update APT cache and directly install Caffe. Note, the cpu version and the cuda version cannot coexist.

sudo apt update
sudo apt install [ caffe-cpu | caffe-cuda ]

Install PyQt and sklearn

sudo apt-get install python3-pyqt4 python3-sklearn python3-skimage

In case you don't have git, pip3 or wget already installed:

sudo apt-get install git python3-pip wget

Install qdarkstyle package

sudo pip3 install qdarkstyle

Install Opencv

sudo pip3 install opencv-python

Download and start ideepcolor

mkdir ideepcolor
cd ideepcolor
# Use a patched version compatible with python3
git clone -b python3 https://github.com/SleepProgger/interactive-deep-colorization
cd interactive-deep-colorization/
# Fetch models
sh models/fetch_models.sh

Start ideepcolor.py for CPU usage
python3 ideepcolor.py --cpu_mode
For gpu usage you probably don't need any parameter at all.

If you are running the caffe-cuda version and see an error complaining about TypeError: 'float' object cannot be interpreted as an integer you might need to downgrade your numpy version.
I am not sure if the cause of this is in this project or in sklearn but so far i was too lazy to check.
pip3 install -U numpy==1.11.0

If you see an out of memory error like this:
F0601 05:42:15.847261 12169 syncedmem.cpp:71] Check failed: error == cudaSuccess (2 vs. 0) out of memory
Your graphics card has not enough memory.
There might be a proper way to solve this (use smaller batches somehow) but what i did and what worked for me is:
Set the --load_size to something smaller. This will lead to worse results but at least it will work and run reasonably fast (compared to using the CPU).
You will need to set the same value in the models/.../.prototxt files input layer.
A (really) dirty script which handles this for you is located here.
Put it in the same place the ideepcolor.py file is and run it like sh ./run_ideepcolor.py.
Set the XLEN variable inside to the highest value which doesn't produce the memory error.

[sidorencu]

sidorencu@sidorencu-K52F:~/ideepcolor/interactive-deep-colorization$ python3 ideepcolor.py
Traceback (most recent call last):
File "ideepcolor.py", line 12, in
from ui import gui_design
File "/home/sidorencu/ideepcolor/interactive-deep-colorization/ui/gui_design.py", line 3, in
from . import gui_draw
File "/home/sidorencu/ideepcolor/interactive-deep-colorization/ui/gui_draw.py", line 12, in
from data import lab_gamut
File "/home/sidorencu/ideepcolor/interactive-deep-colorization/data/lab_gamut.py", line 4, in
from skimage import color
ImportError: No module named 'skimage'

[SleepProgger]

Something else seem to have installed skimage in my container.
Install it by:
sudo apt-get install python3-skimage

Updated post above

[sidorencu]

sidorencu@sidorencu-K52F:/ideepcolor/interactive-deep-colorization$ python3 ideepcolor.py --cpu_mode
[dist_prototxt] = ./models/reference_model/deploy_nopred.prototxt
[dist_caffemodel] = ./models/reference_model/model.caffemodel
[color_caffemodel] = ./models/reference_model/model.caffemodel
[ui_time] = 60
[cpu_mode] = True
[image_file] = test_imgs/mortar_pestle.jpg
[load_size] = 256
[win_size] = 512
[no_dist] = False
[user_study] = False
[color_prototxt] = ./models/reference_model/deploy_nodist.prototxt
[gpu] = 0
ColorizeImageCaffe instantiated
gpu_id = -1, net_path = ./models/reference_model/deploy_nodist.prototxt, model_path = ./models/reference_model/model.caffemodel
Traceback (most recent call last):
File "ideepcolor.py", line 57, in
colorModel.prep_net(args.gpu,args.color_prototxt,args.color_caffemodel)
File "/home/sidorencu/ideepcolor/interactive-deep-colorization/data/colorize_image.py", line 243, in prep_net
caffe.set_mode_cpu()
AttributeError: module 'caffe' has no attribute 'set_mode_cpu'sidorencu@sidorencu-K52F:/ideepcolor/interactive-deep-colorization$ python3 ideepcolor.py --cpu_mode
[dist_prototxt] = ./models/reference_model/deploy_nopred.prototxt
[dist_caffemodel] = ./models/reference_model/model.caffemodel
[color_caffemodel] = ./models/reference_model/model.caffemodel
[ui_time] = 60
[cpu_mode] = True
[image_file] = test_imgs/mortar_pestle.jpg
[load_size] = 256
[win_size] = 512
[no_dist] = False
[user_study] = False
[color_prototxt] = ./models/reference_model/deploy_nodist.prototxt
[gpu] = 0
ColorizeImageCaffe instantiated
gpu_id = -1, net_path = ./models/reference_model/deploy_nodist.prototxt, model_path = ./models/reference_model/model.caffemodel
Traceback (most recent call last):
File "ideepcolor.py", line 57, in
colorModel.prep_net(args.gpu,args.color_prototxt,args.color_caffemodel)
File "/home/sidorencu/ideepcolor/interactive-deep-colorization/data/colorize_image.py", line 243, in prep_net
caffe.set_mode_cpu()
AttributeError: module 'caffe' has no attribute 'set_mode_cpu'

[sabrinawallner]

I've set up a docker with ideepcolor, building on https://github.com/floydhub/dl-docker, maybe that will be helpful for some of you.

GUI version

docker run -ti --rm \
-e DISPLAY=unix$DISPLAY \
-v /tmp/.X11-unix:/tmp/.X11-unix \
swallner/ideepcolor /bin/sh -c 'cd ideepcolor; python ideepcolor.py --cpu_mode'

only works if you've done xhost +local:root before

I've kind of tested this, but it's terribly slow and basically unusable on my laptop, so I cannot guarantee that everything works the way it should.

Notebook

docker run -it -p 8888:8888 -p 6006:6006 swallner/ideepcolor jupyter notebook

access the notebook using your browser at http://localhost:8888
I haven't really tested the notebook apart from checking that it's accessible, so I cannot guarantee that it works, it might still need some adjustments.

Based on @SleepProgger 's instructions, I've also built a Docker container which runs ideepcolor on Debian Stretch. You can run the GUI version with the following command:

docker run -ti --rm -e DISPLAY=unix$DISPLAY -v /tmp/.X11-unix:/tmp/.X11-unix swallner/ideepcolor_debian /bin/sh -c 'cd ideepcolor/interactive-deep-colorization; python3 ideepcolor.py --cpu_mode'

With this, I unfortunately see this issue: #2

[junyanz]

Thank @SleepProgger for providing the installation guidelines. I updated the installation with more details. Let me know if I missed something.

[vbisbest]

@SleepProgger that is a nice step by step guide for Ubuntu. How about the same for OSX? I am stuck on this error:

MBP:ideepcolor2 vb$ python ideepcolor.py --cpu_mode
Traceback (most recent call last):
File "ideepcolor.py", line 8, in
from ui import gui_design
File "/Users/vbisbest/Documents/Projects/ideepcolor2/ui/gui_design.py", line 3, in
from . import gui_draw
File "/Users/vbisbest/Documents/Projects/ideepcolor2/ui/gui_draw.py", line 12, in
from data import lab_gamut
File "/Users/vbisbest/Documents/Projects/ideepcolor2/data/lab_gamut.py", line 4, in
from skimage import color
ImportError: No module named skimage

I have run 'pip install --user scikit-image' successfully and still getting this error.
Thank you

[SleepProgger]

@vbisbest Are you sure you installed the 'scikit-image' for the correct python version (python 3 in the case of my "tutorial") ?
Otherwise try to install it with the pip3 command.

[vbisbest]

@SleepProgger I did get it installed and it fixed that issue. Now I am stuck on another one, I opened a new issue for that.