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      Tema: prvi put Linux, jel može ovo u vmware da se instalira? grayscale u obojeno

      1. #1
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      3. Cool prvi put Linux, jel može ovo u vmware da se instalira? grayscale u obojeno

        https://github.com/junyanz/interacti...p-colorization
        pre svega molim nekog iskusnijeg da proba ovaj program, vredi li truda...
        imam gomilu starih porodičnih fotografija koje bih "obojio"
        pratio sam uputstvo ali nisam uspeo da pokrenem program na ubuntu...
        hvala, drugari


        edit: spreman sam i da platim za video tutorial ) za virtuelku
        konfiguracija iz profila
        Menjao pmb : 22.04.2018. u 08:52

      4. #2
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      6. milan@ubuntu:~/Desktop/interactive-deep-colorization-master/interactive-deep-colorization-master$ python ideepcolor.py --0 [GPU_ID]
        /home/milan/Desktop/interactive-deep-colorization-master/interactive-deep-colorization-master/ui/gui_draw.py:22: UserWarning:
        This call to matplotlib.use() has no effect because the backend has already
        been chosen; matplotlib.use() must be called *before* pylab, matplotlib.pyplot,
        or matplotlib.backends is imported for the first time.

        The backend was *originally* set to 'TkAgg' by the following code:
        File "ideepcolor.py", line 8, in <module>
        from ui import gui_design
        File "/home/milan/Desktop/interactive-deep-colorization-master/interactive-deep-colorization-master/ui/gui_design.py", line 3, in <module>
        from . import gui_draw
        File "/home/milan/Desktop/interactive-deep-colorization-master/interactive-deep-colorization-master/ui/gui_draw.py", line 19, in <module>
        import matplotlib.pyplot as plt
        File "/home/milan/.local/lib/python2.7/site-packages/matplotlib/pyplot.py", line 71, in <module>
        from matplotlib.backends import pylab_setup
        File "/home/milan/.local/lib/python2.7/site-packages/matplotlib/backends/__init__.py", line 16, in <module>
        line for line in traceback.format_stack()


        mpl.use('Qt4Agg')
        Traceback (most recent call last):
        File "ideepcolor.py", line 9, in <module>
        from data import colorize_image as CI
        File "/home/milan/Desktop/interactive-deep-colorization-master/interactive-deep-colorization-master/data/colorize_image.py", line 6, in <module>
        import caffe


        uradim sve korake u terminalu i prijavi mi


        kontam da me ovo zeza:
        Run the UI: python ideepcolor.py --gpu [GPU_ID]. Arguments are described below:

        --win_size [512] GUI window size
        --gpu [0] GPU number
        --image_file ['./test_imgs/mortar_pestle.jpg'] path to the image file


        ok, kad pokušam preko cpua da pokrenem, prateći
        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/inte...p-colorization
        cd interactive-deep-colorization/
        # Fetch models
        sh models/fetch_models.sh
        Start ideepcolor.py for CPU usage
        python3 ideepcolor.py --cpu_mode
        milan@ubuntu:~/Desktop/interactive-deep-colorization-master/interactive-deep-colorization-master$ python3 ideepcolor.py --cpu_mode
        /usr/lib/python3/dist-packages/matplotlib/__init__.py:1403: UserWarning: This call to matplotlib.use() has no effect
        because the backend has already been chosen;
        matplotlib.use() must be called *before* pylab, matplotlib.pyplot,
        or matplotlib.backends is imported for the first time.

        warnings.warn(_use_error_msg)
        [win_size] = 512
        [image_file] = test_imgs/mortar_pestle.jpg
        [gpu] = 0
        [cpu_mode] = True
        [color_prototxt] = ./models/reference_model/deploy_nodist.prototxt
        [color_caffemodel] = ./models/reference_model/model.caffemodel
        [dist_prototxt] = ./models/reference_model/deploy_nopred.prototxt
        [dist_caffemodel] = ./models/reference_model/model.caffemodel
        [load_size] = 256
        ColorizeImageCaffe instantiated
        gpu_id = -1, net_path = ./models/reference_model/deploy_nodist.prototxt, model_path = ./models/reference_model/model.caffemodel
        WARNING: Logging before InitGoogleLogging() is written to STDERR
        W0422 01:02:05.291738 15655 _caffe.cpp:139] DEPRECATION WARNING - deprecated use of Python interface
        W0422 01:02:05.291760 15655 _caffe.cpp:140] Use this instead (with the named "weights" parameter):
        W0422 01:02:05.291764 15655 _caffe.cpp:142] Net('./models/reference_model/deploy_nodist.prototxt', 1, weights='./models/reference_model/model.caffemodel')
        Traceback (most recent call last):
        File "ideepcolor.py", line 53, in <module>
        colorModel.prep_net(args.gpu, args.color_prototxt, args.color_caffemodel)
        File "/home/milan/Desktop/interactive-deep-colorization-master/interactive-deep-colorization-master/data/colorize_image.py", line 235, in prep_net
        self.net = caffe.Net(prototxt_path, caffemodel_path, caffe.TEST)
        RuntimeError: Could not open file ./models/reference_model/model.caffemodel

        svaka pomoć dobrodošla!
        Menjao pmb : 22.04.2018. u 10:17

      7. #3
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      9. kad probam preko nvidia cuda
        Attached Thumbnails Attached Thumbnails Click image for larger version. 

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      10. #4
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        Pa ne znam da li si ranije probao i G'MIC za Gimp? Instalacija jednostavna a ne verujem da je ovaj program nešto posebno bolji.

        Menjao dolmen : 22.04.2018. u 12:26

      11. #5
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      13. pokrenuh ga ja preko cpua, preko cuda nije moglo...hvala na interesovanju

      14. #6
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      15. Moja mašina
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      16. ipak je MNOGO brži i bolji od ovog gimica
        doduše instalirao sam ubuntu na drugu particiju
        cuda caffe


        leti ko zmaj...rezultati zapanjujući....i u par klikova, ne treba nikakva nauka

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