I am using openAI gym on windows 10 x64, with python 3.6.7 through windows remote desktop
and i succeeded in installing atari-py and mujoco-py, but when i tried running this code.
import gym
env = gym.make('Humanoid-v2')
for i_episode in range(100):
env.reset()
for t in range(100):
env.render()
action = env.action_space.sample()
observation, reward, done, info = env.step(action)
if done:
print("Episode finished after {} timesteps".format(t+1))
break
I got this error:
GLFW error (code %d): %s 65544 b'Vulkan: Failed to query instance extension count: The requested version of Vulkan is not supported by the driver or is otherwise incompatible'
Creating window glfw
GLFW error (code %d): %s 65542 b'WGL: The driver does not appear to support OpenGL'
Traceback (most recent call last):
File "test.py", line 7, in <module>
env.render()
File "D:\ReinforceLearning\RLenv\lib\site-packages\gym\core.py", line 275, in render
return self.env.render(mode, **kwargs)
File "D:\ReinforceLearning\RLenv\lib\site-packages\gym\envs\mujoco\mujoco_env.py", line 118, in render
self._get_viewer(mode).render()
File "D:\ReinforceLearning\RLenv\lib\site-packages\gym\envs\mujoco\mujoco_env.py", line 130, in _get_viewer
self.viewer = mujoco_py.MjViewer(self.sim)
File "D:\ReinforceLearning\RLenv\lib\site-packages\mujoco_py-1.50.1.0-py3.6.egg\mujoco_py\mjviewer.py", line 130, in __init__
super().__init__(sim)
File "D:\ReinforceLearning\RLenv\lib\site-packages\mujoco_py-1.50.1.0-py3.6.egg\mujoco_py\mjviewer.py", line 25, in __init__
super().__init__(sim)
File "RLenv\lib\site-packages\mujoco_py-1.50.1.0-py3.6.egg\mujoco_py\mjrendercontext.pyx", line 244, in mujoco_py.cymj.MjRenderContextWindow.__init__
super().__init__(sim, offscreen=False)
File "RLenv\lib\site-packages\mujoco_py-1.50.1.0-py3.6.egg\mujoco_py\mjrendercontext.pyx", line 43, in mujoco_py.cymj.MjRenderContext.__init__
self._setup_opengl_context(offscreen)
File "RLenv\lib\site-packages\mujoco_py-1.50.1.0-py3.6.egg\mujoco_py\mjrendercontext.pyx", line 92, in mujoco_py.cymj.MjRenderContext._setup_opengl_context
self._opengl_context = GlfwContext(offscreen=offscreen)
File "RLenv\lib\site-packages\mujoco_py-1.50.1.0-py3.6.egg\mujoco_py\opengl_context.pyx", line 48, in mujoco_py.cymj.GlfwContext.__init__
self.window = self._create_window(offscreen)
File "RLenv\lib\site-packages\mujoco_py-1.50.1.0-py3.6.egg\mujoco_py\opengl_context.pyx", line 97, in mujoco_py.cymj.GlfwContext._create_window
raise GlfwError("Failed to create GLFW window")
mujoco_py.cymj.GlfwError: Failed to create GLFW window
OpenGL over WindowsRemote is not supported on NVIDIA GPUs for OpenGL Versions after 1.1.
Did a writeup on what workaround exist:
Current state and solutions for OpenGL over Windows Remote
For extra salt into the wound: You can launch the an opengl context and then connect via WindowsRemote. But launching inside the session directly is impossible without workarounds.
Related
I have installed robotframework and robotframework-ride using pip. All the other required components are also updated. I am using Python 3.7.6 and Windows 10.
When I run RIDE, I get the following error:
Traceback (most recent call last):
File "C:\Python37-32\lib\site-packages\robotide\application\application.py", line 62, in OnInit
self._plugin_loader.enable_plugins()
File "C:\Python37-32\lib\site-packages\robotide\application\pluginloader.py", line 43, in enable_plugins
p.enable_on_startup()
File "C:\Python37-32\lib\site-packages\robotide\application\pluginconnector.py", line 52, in enable_on_startup
self.enable()
File "C:\Python37-32\lib\site-packages\robotide\application\pluginconnector.py", line 57, in enable
self._plugin.enable()
File "C:\Python37-32\lib\site-packages\robotide\recentfiles\recentfiles.py", line 44, in enable
self._add_recent_files_to_menu()
File "C:\Python37-32\lib\site-packages\robotide\recentfiles\recentfiles.py", line 114, in _add_recent_files_to_menu
self.register_action(action)
File "C:\Python37-32\lib\site-packages\robotide\pluginapi\plugin.py", line 204, in register_action
action = self.__frame.actions.register_action(action_info)
File "C:\Python37-32\lib\site-packages\robotide\ui\mainframe.py", line 751, in register_action
self._menubar.register(action)
File "C:\Python37-32\lib\site-packages\robotide\ui\actiontriggers.py", line 60, in register
menu.add_menu_item(action)
File "C:\Python37-32\lib\site-packages\robotide\ui\actiontriggers.py", line 98, in add_menu_item
menu_item = self._construct_menu_item(action)
File "C:\Python37-32\lib\site-packages\robotide\ui\actiontriggers.py", line 107, in _construct_menu_item
menu_item = self._create_menu_item(action)
File "C:\Python37-32\lib\site-packages\robotide\ui\actiontriggers.py", line 139, in _create_menu_item
pos = action.get_insertion_index(self.wx_menu)
File "C:\Python37-32\lib\site-packages\robotide\action\action.py", line 40, in get_insertion_index
return self._insertion_point.get_index(menu)
File "C:\Python37-32\lib\site-packages\robotide\action\actioninfo.py", line 286, in get_index
index = self._find_position_in_menu(menu)
File "C:\Python37-32\lib\site-packages\robotide\action\actioninfo.py", line 296, in _find_position_in_menu
if self._get_menu_item_name(item).lower() == self._item.lower():
File "C:\Python37-32\lib\site-packages\robotide\action\actioninfo.py", line 301, in _get_menu_item_name
return self._shortcut_remover.split(item.GetLabel())[0]
AttributeError: 'MenuItem' object has no attribute 'GetLabel'
OnInit returned false, exiting...
Error in atexit._run_exitfuncs:
wx._core.wxAssertionError: C++ assertion "GetEventHandler() == this" failed at ..\..\src\common\wincmn.cpp(475) in wxWindowBase::~wxWindowBase(): any pushed event handlers must have been removed
I can't deduce whether I am doing something wrong. I have installed RIDE previously on this PC and others as well and this is the first time I am running into this error.
Kindly help.
To use newest wxPython version 4.1.0, you will have to install the current development version of RIDE (2.0b1.dev1) from source code, Otherwise, you should install version 4.0.7.post2.
See project page at https://github.com/robotframework/RIDE
I was using a pre-trained Yolo model for my object detection project. I have downloaded the weight from someone else google drive and using the "YOLOv2" model from this GitHub repo.
My conda environment configuration:
Python 3.6.7 :: Anaconda, Inc.
keras 2.2.4
Tensorflow 1.13.1 backend
While running the program, I got the below error:
EDIT: Complete traceback
/home/anubh/anaconda3/envs/cMLdev/bin/python /snap/pycharm-professional/121/helpers/pydev/pydevconsole.py --mode=client --port=42727
import sys; print('Python %s on %s' % (sys.version, sys.platform))
sys.path.extend(['/home/anubh/PycharmProjects/add_projects/blendid_data_challenge'])
PyDev console: starting.
Python 3.6.7 |Anaconda, Inc.| (default, Oct 23 2018, 19:16:44)
[GCC 7.3.0] on linux
runfile('/home/anubh/PycharmProjects/codingforfun/machine_learning/deepLearningAI-ANG/week3/car_detection_for_autonomous_driving/pretrain_yolo_model_car_detection.py', wdir='/home/anubh/PycharmProjects/codingforfun/machine_learning/deepLearningAI-ANG/week3/car_detection_for_autonomous_driving')
Using TensorFlow backend.
2019-03-20 11:08:41.522694: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA
XXX lineno: 31, opcode: 0
Traceback (most recent call last):
File "<input>", line 1, in <module>
File "/snap/pycharm-professional/121/helpers/pydev/_pydev_bundle/pydev_umd.py", line 197, in runfile
pydev_imports.execfile(filename, global_vars, local_vars) # execute the script
File "/snap/pycharm-professional/121/helpers/pydev/_pydev_imps/_pydev_execfile.py", line 18, in execfile
exec(compile(contents+"\n", file, 'exec'), glob, loc)
File "/home/anubh/PycharmProjects/codingforfun/machine_learning/deepLearningAI-ANG/week3/car_detection_for_autonomous_driving/pretrain_yolo_model_car_detection.py", line 89, in <module>
main()
File "/home/anubh/PycharmProjects/codingforfun/machine_learning/deepLearningAI-ANG/week3/car_detection_for_autonomous_driving/pretrain_yolo_model_car_detection.py", line 86, in main
out_scores, out_boxes, out_classes = predict(sess, "test.jpg")
File "/home/anubh/PycharmProjects/codingforfun/machine_learning/deepLearningAI-ANG/week3/car_detection_for_autonomous_driving/pretrain_yolo_model_car_detection.py", line 66, in predict
yolo_model,class_names, scores, boxes,classes = build_graph(summary_needed=1)
File "/home/anubh/PycharmProjects/codingforfun/machine_learning/deepLearningAI-ANG/week3/car_detection_for_autonomous_driving/pretrain_yolo_model_car_detection.py", line 30, in build_graph
yolo_model = load_model("model_data/yolo.h5") # (m, 19, 19, 5, 85) tensor
File "/home/anubh/anaconda3/envs/cMLdev/lib/python3.6/site-packages/keras/engine/saving.py", line 419, in load_model
model = _deserialize_model(f, custom_objects, compile)
File "/home/anubh/anaconda3/envs/cMLdev/lib/python3.6/site-packages/keras/engine/saving.py", line 225, in _deserialize_model
model = model_from_config(model_config, custom_objects=custom_objects)
File "/home/anubh/anaconda3/envs/cMLdev/lib/python3.6/site-packages/keras/engine/saving.py", line 458, in model_from_config
return deserialize(config, custom_objects=custom_objects)
File "/home/anubh/anaconda3/envs/cMLdev/lib/python3.6/site-packages/keras/layers/__init__.py", line 55, in deserialize
printable_module_name='layer')
File "/home/anubh/anaconda3/envs/cMLdev/lib/python3.6/site-packages/keras/utils/generic_utils.py", line 145, in deserialize_keras_object
list(custom_objects.items())))
File "/home/anubh/anaconda3/envs/cMLdev/lib/python3.6/site-packages/keras/engine/network.py", line 1032, in from_config
process_node(layer, node_data)
File "/home/anubh/anaconda3/envs/cMLdev/lib/python3.6/site-packages/keras/engine/network.py", line 991, in process_node
layer(unpack_singleton(input_tensors), **kwargs)
File "/home/anubh/anaconda3/envs/cMLdev/lib/python3.6/site-packages/keras/engine/base_layer.py", line 457, in __call__
output = self.call(inputs, **kwargs)
File "/home/anubh/anaconda3/envs/cMLdev/lib/python3.6/site-packages/keras/layers/core.py", line 687, in call
return self.function(inputs, **arguments)
File "/home/don/tensorflow/yad2k/yad2k/models/keras_yolo.py", line 31, in space_to_depth_x2
SystemError: unknown opcode
I found 2 threads 1 & 2 that tries to answer
How to get the TensorFlow binary compiled to support my CPU instructions.
I also found an easy get around at someone's GitHub issue, but the reasoning wasn't clear at all. They are just trying hit & trial.
but, My question is,
In the same environment configuration, I have used ResNet-50 & VGG-16 models for the image classification task, and much other functionality of keras as tensorflow backend and directly with tensorflow. All works with no such error!
Then, what's so special incompatibility Tensorflow issue is with Yolo_v2 model? Could anyone help in this regards as well why and which tensorflow versions would work and how you decide it before working with any model?
I am trying to get pyttsx3 up and running on my computer. I did pip install pyttsx3 and pip install pypiwin32 I can see both of them in my python directory.
I type this code in to test it:
import pyttsx3
engine = pyttsx3.init()
engine.say("I will speak this text")
engine.runAndWait()
This is what comes out:
Traceback (most recent call last):
File "C:\Users\Danny\AppData\Local\Programs\Python\Python36\lib\site-packages\pyttsx3__init__.py", line 44, in init
eng = _activeEngines[driverName]
File "C:\Users\Danny\AppData\Local\Programs\Python\Python36\lib\weakref.py", line 131, in getitem
o = self.datakey
KeyError: None
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "C:\Users\Danny\Desktop\python text to speech.py", line 9, in
engine = pyttsx3.init()
File "C:\Users\Danny\AppData\Local\Programs\Python\Python36\lib\site-packages\pyttsx3__init__.py", line 46, in init
eng = Engine(driverName, debug)
File "C:\Users\Danny\AppData\Local\Programs\Python\Python36\lib\site-packages\pyttsx3\engine.py", line 52, in init
self.proxy = driver.DriverProxy(weakref.proxy(self), driverName, debug)
File "C:\Users\Danny\AppData\Local\Programs\Python\Python36\lib\site-packages\pyttsx3\driver.py", line 77, in init
self._driver = self._module.buildDriver(weakref.proxy(self))
File "C:\Users\Danny\AppData\Local\Programs\Python\Python36\lib\site-packages\pyttsx3\drivers\sapi5.py", line 22, in buildDriver
return SAPI5Driver(proxy)
File "C:\Users\Danny\AppData\Local\Programs\Python\Python36\lib\site-packages\pyttsx3\drivers\sapi5.py", line 41, in init
self.setProperty('voice', self.getProperty('voice'))
File "C:\Users\Danny\AppData\Local\Programs\Python\Python36\lib\site-packages\pyttsx3\drivers\sapi5.py", line 83, in setProperty
self._tts.Voice = token
File "C:\Users\Danny\AppData\Local\Programs\Python\Python36\lib\site-packages\win32com\client\dynamic.py", line 549, in setattr
self.oleobj.Invoke(entry.dispid, 0, invoke_type, 0, value)
pywintypes.com_error: (-2147352573, 'Member not found.', None, None)
I tried the same thing on another computer that already had both installed, and got the same output. Any idea what is going on with the win32com? I have no experience with it and am pretty lost. Thanks.
Ok, so I found the answer looking at other problems that were related to the win32com module. Basically what you need to do is navigate to your python scripts folder (in my case: C:\Users\Danny\AppData\Local\Programs\Python\Python36\Scripts) and run pywin32_postinstall. Upon running that script, it works perfectly!
Cheers!
I'm trying to load the package StanfordCoreNLP to get the correct parsing for the movie reviews presented in their page (https://nlp.stanford.edu/sentiment/treebank.html): (I'm using MAC)
nlp = StanfordCoreNLP("/Users//NLP_models/stanford-corenlp-full-2018-01-31")
But get the error:
Traceback (most recent call last):
File "/Users/anaconda3/lib/python3.6/site-packages/psutil/_psosx.py", line 295, in wrapper
return fun(self, *args, **kwargs)
File "/Users/anaconda3/lib/python3.6/site-packages/psutil/_psosx.py", line 480, in connections
rawlist = cext.proc_connections(self.pid, families, types)
PermissionError: [Errno 1] Operation not permitted
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/Applications/PyCharm CE.app/Contents/helpers/pydev/pydevd.py", line 2411, in <module>
globals = debugger.run(setup['file'], None, None, is_module)
File "/Applications/PyCharm CE.app/Contents/helpers/pydev/pydevd.py", line 1802, in run
launch(file, globals, locals) # execute the script
File "/Applications/PyCharm CE.app/Contents/helpers/pydev/_pydev_imps/_pydev_execfile.py", line 18, in execfile
exec(compile(contents+"\n", file, 'exec'), glob, loc)
...
...
...
File "/Users/anaconda3/lib/python3.6/site-packages/stanfordcorenlp/corenlp.py", line 79, in __init__
if port_candidate not in [conn.laddr[1] for conn in psutil.net_connections()]:
File "/Users/anaconda3/lib/python3.6/site-packages/psutil/__init__.py", line 2191, in net_connections
return _psplatform.net_connections(kind)
File "/Users/anaconda3/lib/python3.6/site-packages/psutil/_psosx.py", line 229, in net_connections
cons = Process(pid).connections(kind)
File "/Users/anaconda3/lib/python3.6/site-packages/psutil/_psosx.py", line 300, in wrapper
raise AccessDenied(self.pid, self._name)
psutil.AccessDenied: psutil.AccessDenied (pid=5488)
I tried
conda update conda
conda update anaconda-navigator
conda update navigator-updater
But it didn't help.
Any ideas??
Thanks!!
I have the same problem, and I got it work by running the code using sudo like below:
sudo /Users/edamame/workspace/git/chinese_nlp/venv/bin/python3 chinese_segmenter1.py
Hope this works for you as well.
Same problem here.
A lot of discussion of this points to https://github.com/ContinuumIO/anaconda-issues/issues/1984, which suggests updating to the latest Navigator, and running as root (via sudo).
I've tried both and see no change at all (you may be more fortunate).
https://github.com/Lynten/stanford-corenlp/issues/26 references a tweaked version of corenlp.py that claims to avoid the problem, though I haven't gotten it to work either.
This problem seems to be specific to Mac OS X which would not allow Python to check the current port.
Comment this portion of code of corenlp.py file:
if self.port is None:
for port_candidate in range(9000, 65535):
if port_candidate not in [conn.laddr[1] for conn in psutil.net_connections()]:
self.port = port_candidate
break
if self.port in [conn.laddr[1] for conn in psutil.net_connections()]:
raise IOError('Port ' + str(self.port) + ' is already in use.')
Replace by this line:
self.port = 9999
Source: https://github.com/Lynten/stanford-corenlp/issues/26#issuecomment-445507811
Another solution is to run StanfordCoreNLP with a sudo command line.
I am struggling to setup pymunk on my Ubuntu 16.04. I am using virtualenv, I have Python 3.5.2, pymunk 5.3.0 and cffi 1.11.0 installed.
I tried a very simple code first; basically, I created an empty Space and called step on it and everything worked smoothly. However, when I try to visualize it and create DrawOptions instance, I get strange errors, which I can't decipher. Also, I tried matplotlib_util and pygame_util, but both failed to create DrawOptions.
This is the code snippet I used:
import pymunk
import pyglet
import pymunk.pyglet_util
s = pymunk.Space()
options = pymunk.pyglet_util.DrawOptions()
s.debug_draw(options)
# s.step(0.02)
This is the output I get:
Loading chipmunk for Linux (64bit) [/home/wm/.virtualenvs/cv/lib/python3.5/site-packages/pymunk/libchipmunk.so]
Traceback (most recent call last):
File "/home/wm/.virtualenvs/cv/lib/python3.5/site-packages/cffi-1.11.0-py3.5-linux-x86_64.egg/cffi/api.py", line 167, in _typeof
result = self._parsed_types[cdecl]
KeyError: 'typedef void (*cpSpaceDebugDrawCircleImpl)(cpVect pos, cpFloat angle, cpFloat radius, cpSpaceDebugColor outlineColor, cpSpaceDebugColor fillColor, cpDataPointer data)'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/wm/.virtualenvs/cv/lib/python3.5/site-packages/cffi-1.11.0-py3.5-linux-x86_64.egg/cffi/cparser.py", line 276, in _parse
ast = _get_parser().parse(fullcsource)
File "/home/wm/.virtualenvs/cv/lib/python3.5/site-packages/pycparser/c_parser.py", line 152, in parse
debug=debuglevel)
File "/home/wm/.virtualenvs/cv/lib/python3.5/site-packages/pycparser/ply/yacc.py", line 331, in parse
return self.parseopt_notrack(input, lexer, debug, tracking, tokenfunc)
File "/home/wm/.virtualenvs/cv/lib/python3.5/site-packages/pycparser/ply/yacc.py", line 1199, in parseopt_notrack
tok = call_errorfunc(self.errorfunc, errtoken, self)
File "/home/wm/.virtualenvs/cv/lib/python3.5/site-packages/pycparser/ply/yacc.py", line 193, in call_errorfunc
r = errorfunc(token)
File "/home/wm/.virtualenvs/cv/lib/python3.5/site-packages/pycparser/c_parser.py", line 1761, in p_error
column=self.clex.find_tok_column(p)))
File "/home/wm/.virtualenvs/cv/lib/python3.5/site-packages/pycparser/plyparser.py", line 66, in _parse_error
raise ParseError("%s: %s" % (coord, msg))
pycparser.plyparser.ParseError: <cdef source string>:2:16: before: cpSpaceDebugDrawCircleImpl
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "pmtest2.py", line 5, in <module>
options = pymunk.pyglet_util.DrawOptions()
File "/home/wm/.virtualenvs/cv/lib/python3.5/site-packages/pymunk/pyglet_util.py", line 89, in __init__
super(DrawOptions, self).__init__()
File "/home/wm/.virtualenvs/cv/lib/python3.5/site-packages/pymunk/space_debug_draw_options.py", line 51, in __init__
#ffi.callback("typedef void (*cpSpaceDebugDrawCircleImpl)"
File "/home/wm/.virtualenvs/cv/lib/python3.5/site-packages/cffi-1.11.0-py3.5-linux-x86_64.egg/cffi/api.py", line 375, in callback
cdecl = self._typeof(cdecl, consider_function_as_funcptr=True)
File "/home/wm/.virtualenvs/cv/lib/python3.5/site-packages/cffi-1.11.0-py3.5-linux-x86_64.egg/cffi/api.py", line 170, in _typeof
result = self._typeof_locked(cdecl)
File "/home/wm/.virtualenvs/cv/lib/python3.5/site-packages/cffi-1.11.0-py3.5-linux-x86_64.egg/cffi/api.py", line 155, in _typeof_locked
type = self._parser.parse_type(cdecl)
File "/home/wm/.virtualenvs/cv/lib/python3.5/site-packages/cffi-1.11.0-py3.5-linux-x86_64.egg/cffi/cparser.py", line 476, in parse_type
return self.parse_type_and_quals(cdecl)[0]
File "/home/wm/.virtualenvs/cv/lib/python3.5/site-packages/cffi-1.11.0-py3.5-linux-x86_64.egg/cffi/cparser.py", line 479, in parse_type_and_quals
ast, macros = self._parse('void __dummy(\n%s\n);' % cdecl)[:2]
File "/home/wm/.virtualenvs/cv/lib/python3.5/site-packages/cffi-1.11.0-py3.5-linux-x86_64.egg/cffi/cparser.py", line 278, in _parse
self.convert_pycparser_error(e, csource)
File "/home/wm/.virtualenvs/cv/lib/python3.5/site-packages/cffi-1.11.0-py3.5-linux-x86_64.egg/cffi/cparser.py", line 307, in convert_pycparser_error
raise CDefError(msg)
cffi.error.CDefError: cannot parse "typedef void (*cpSpaceDebugDrawCircleImpl)(cpVect pos, cpFloat angle, cpFloat radius, cpSpaceDebugColor outlineColor, cpSpaceDebugColor fillColor, cpDataPointer data)"
<cdef source string>:2:16: before: cpSpaceDebugDrawCircleImpl
What do you think is causing that? Is that the python version I use, or maybe cffi compilation is faulty?
This error happens because there was a new version of pycparser (which is used by cffi) released, and that version breaks pymunk 5.3.0 and earlier versions. Yesterday I made a new release of Pymunk, 5.3.1 with a workaround for the problem. If you try to update your Pymunk version to 5.3.1 it should work.