Not able run RingNet in colab.

[abhinavsp0730]

Hi, @soubhiksanyal I'm able to install all the requirements in order to run RingNet but while executing
!python -m demo --img_path ./input_images/000013.jpg --out_folder ./RingNet_output --save_obj_file=True --save_flame_parameters=True --neutralize_expression=True in colab I'm getting below error:

2021-03-31 13:24:50.767600: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:998] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2021-03-31 13:24:50.768631: I tensorflow/compiler/xla/service/service.cc:150] XLA service 0x561fc0f11a20 executing computations on platform CUDA. Devices:
2021-03-31 13:24:50.768682: I tensorflow/compiler/xla/service/service.cc:158]   StreamExecutor device (0): Tesla K80, Compute Capability 3.7
2021-03-31 13:24:50.771425: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2200000000 Hz
2021-03-31 13:24:50.771652: I tensorflow/compiler/xla/service/service.cc:150] XLA service 0x561fc0f118c0 executing computations on platform Host. Devices:
2021-03-31 13:24:50.771690: I tensorflow/compiler/xla/service/service.cc:158]   StreamExecutor device (0): <undefined>, <undefined>
2021-03-31 13:24:50.771943: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1433] Found device 0 with properties: 
name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235
pciBusID: 0000:00:04.0
totalMemory: 11.17GiB freeMemory: 11.12GiB
2021-03-31 13:24:50.772031: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1512] Adding visible gpu devices: 0
2021-03-31 13:24:50.773555: I tensorflow/core/common_runtime/gpu/gpu_device.cc:984] Device interconnect StreamExecutor with strength 1 edge matrix:
2021-03-31 13:24:50.773587: I tensorflow/core/common_runtime/gpu/gpu_device.cc:990]      0 
2021-03-31 13:24:50.773614: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1003] 0:   N 
2021-03-31 13:24:50.773947: W tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:42] Overriding allow_growth setting because the TF_FORCE_GPU_ALLOW_GROWTH environment variable is set. Original config value was 0.
2021-03-31 13:24:50.774094: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10813 MB memory) -> physical GPU (device: 0, name: Tesla K80, pci bus id: 0000:00:04.0, compute capability: 3.7)
./model/ring_6_68641 couldnt find..
[TerminalIPythonApp] WARNING | GUI event loop or pylab initialization failed

UnknownBackendTraceback (most recent call last)
/usr/local/lib/python2.7/dist-packages/IPython/core/interactiveshell.pyc in enable_matplotlib(self, gui)
   2953         # Now we must activate the gui pylab wants to use, and fix %run to take
   2954         # plot updates into account
-> 2955         self.enable_gui(gui)
   2956         self.magics_manager.registry['ExecutionMagics'].default_runner = \
   2957             pt.mpl_runner(self.safe_execfile)

/usr/local/lib/python2.7/dist-packages/IPython/terminal/interactiveshell.pyc in enable_gui(self, gui)
    512         if gui:
    513             self.active_eventloop, self._inputhook =\
--> 514                 get_inputhook_name_and_func(gui)
    515         else:
    516             self.active_eventloop = self._inputhook = None

/usr/local/lib/python2.7/dist-packages/IPython/terminal/pt_inputhooks/__init__.pyc in get_inputhook_name_and_func(gui)
     36 
     37     if gui not in backends:
---> 38         raise UnknownBackend(gui)
     39 
     40     if gui in aliases:

UnknownBackend: No event loop integration for u'inline'. Supported event loops are: qt, qt4, qt5, gtk, gtk2, gtk3, tk, wx, pyglet, glut, osx
> /content/RingNet/run_RingNet.py(45)__init__()
     44         # Data
---> 45         self.batch_size = config.batch_size
     46         self.img_size = config.img_size

[Fsajjad99]

Did you download, extract and place the pre trained model from the project site? https://ringnet.is.tue.mpg.de/

The log says " 2021-03-31 13:24:50.774094: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10813 MB memory) -> physical GPU (device: 0, name: Tesla K80, pci bus id: 0000:00:04.0, compute capability: 3.7) ./model/ring_6_68641 couldnt find.."

Try confirming that pretrained model is correctly placed.