I new in qgis and i have error when trying to polygonize raster layer in vector. I dont understand - why its not working.
Image from photoshop in 2 colors - black and transparent.
Can somebody help me?
Thx!
QGIS version: 3.8.2-Zanzibar
QGIS code revision: 4470baa1a3
Qt version: 5.11.2
GDAL version: 2.4.1
GEOS version: 3.7.2-CAPI-1.11.0 b55d2125
PROJ version: Rel. 5.2.0, September 15th, 2018
Processing algorithm…
Algorithm 'Polygonize (raster to vector)' starting…
Input parameters:
{ 'BAND' : 1, 'EIGHT_CONNECTEDNESS' : False, 'FIELD' : 'DN', 'INPUT' : 'C:/Users/Ya/Desktop/youdrive_countur_modified.tif', 'OUTPUT' : 'TEMPORARY_OUTPUT' }
GDAL command:
python3 -m gdal_polygonize C:/Users/Ya/Desktop/youdrive_countur_modified.tif C:/Users/Ya/AppData/Local/Temp/processing_10b1eb77e9d647d793fbad6baec49774/30543f2183314e709d1b01c30ffa56ab/OUTPUT.shp -b 1 -f "ESRI Shapefile" OUTPUT DN
GDAL command output:
0...10...20...30...40...50...60...70...80...90...Creating output C:/Users/Ya/AppData/Local/Temp/processing_10b1eb77e9d647d793fbad6baec49774/30543f2183314e709d1b01c30ffa56ab/OUTPUT.shp of format ESRI Shapefile.
100 - done.
Execution completed in 6.84 seconds
Results:
{'OUTPUT': 'C:/Users/Ya/AppData/Local/Temp/processing_10b1eb77e9d647d793fbad6baec49774/30543f2183314e709d1b01c30ffa56ab/OUTPUT.shp'}
Loading resulting layers
The following layers were not correctly generated.<ul><li>C:/Users/Ya/AppData/Local/Temp/processing_10b1eb77e9d647d793fbad6baec49774/30543f2183314e709d1b01c30ffa56ab/OUTPUT.shp</li></ul>You can check the 'Log Messages Panel' in QGIS main window to find more information about the execution of the algorithm.
I dont know why, but after reinstall qgis all works fine. Before i used qgis 3.8. Now install 3.4 and all fine. System Win 10.
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I am trying to run some code with pybullet. I am on windows 10, have the latest vscode, and I am using WSL remote on vscode with ubuntu 18.04 LTS. I have a GTX 2070 graphics card. I just want to see this work, I've been trying to fix it for the last 3 hours.
First, here is the code I am trying to run in WSL:
import numpy as np
import pybullet as pb
physicsClient = pb.connect (pb.GUI)
#load plane
import pybullet_data
pb.setAdditionalSearchPath(pybullet_data.getDataPath())
planeId = pb.loadURDF('plane.urdf')
#load visual shape
visualShapeId = pb.createVisualShape(
shapeType=pb.GEOM_MESH,
fileName='random_urdfs/000/000.obj',
rgbaColor=None,
meshScale=[0.1, 0.1, 0.1])
collisionShapeId = pb.createCollisionShape(
shapeType=pb.GEOM_MESH,
fileName='random_urdfs/000/000_coll.obj',
meshScale=[0.1, 0.1, 0.1])
multiBodyId = pb.createMultiBody(
baseMass=1.0,
baseCollisionShapeIndex=collisionShapeId,
baseVisualShapeIndex=visualShapeId,
basePosition=[0, 0, 1],
baseOrientation=pb.getQuaternionFromEuler([0, 0, 0]))
I get no errors, but the X server window will pop up (black) and close immediately. I read that you need to disable your GPU with WSL, but I am scared of messing up my PC. I would only want to disable it for when I need to see graphics / use the X server, not for all WSL applications.
Here is what shows in my bash script:
user#DESKTOP-######:~/program$ python3 openAI.py
pybullet build time: Sep 22 2020 00:54:31
startThreads creating 1 threads.
starting thread 0
started thread 0
argc=2
argv[0] = --unused
argv[1] = --start_demo_name=Physics Server
ExampleBrowserThreadFunc started
X11 functions dynamically loaded using dlopen/dlsym OK!
X11 functions dynamically loaded using dlopen/dlsym OK!
Creating context
Failed to create GL 3.3 context ... using old-style GLX context
Indirect GLX rendering context obtained
Making context current
GL_VENDOR=NVIDIA Corporation
GL_RENDERER=GeForce RTX 2070 SUPER/PCIe/SSE2
GL_VERSION=1.4 (4.6.0 NVIDIA 451.67)
GL_SHADING_LANGUAGE_VERSION=(null)
pthread_getconcurrency()=0
Version = 1.4 (4.6.0 NVIDIA 451.67)
Vendor = NVIDIA Corporation
Renderer = GeForce RTX 2070 SUPER/PCIe/SSE2
Segmentation fault (core dumped)
user#DESKTOP-######:~/program$
#Emilio, I have got this working without any changes to the GPU, using the following process:
I used the VcXsrv application set up in the same way as this tutorial : https://jack-kawell.com/2020/06/12/ros-wsl2/ where crucially Native openGL is unchecked.
Export your ip address as in the tutorial, however instead of 'export DISPLAY={your_ip_address}:0.0', go to the VcXsrv window (which should be blank at this point) and replace :0.0 with whatever number of display is given. So for Display DESKTOP-1234AB:1.0 you would enter 'export DISPLAY={your_ip_address}:1.0'
In the linux terminal enter: export LIBGL_ALWAYS_INDIRECT=0
You can check that this has made an effect by entering: glxinfo
Which should print out:
direct rendering: yes
When you run your python program it should open up in the VcXsrv window. For me there was no cursor visible but I could still interact with the object as if I did have a cursor.
Scenario:
Ubuntu 17.04
Liquid Soap 1.1.1 installed by apt-get
Liquid Soap 1.3.1 installed by OPAM
On 1.1.1, I cannot use AAC+ encoder. So I've installed 1.3.1 with AAC+ support. But using a same .liq file, both versions act different.
For some reason, 1.1 works, 1.3 not:
def my_request_function() =
# Get the first line of my external process
result = list.hd(get_process_lines("php -q liquid.php"))
# Create and return a request using this result
request.create(result)
end
Error:
At line 17, char 24:
this value has type
(default:_)->_ (inferred at line 15, char 19-58)
but it should be a subtype of
string
I want to read the "next song" from a PHP script. On 1.1.1 works with MP3 (+icecast2), but since I need AAC+, I'm using 1.3.1, that I cannot figure out how to read the external script.
Any ideas? Thank you.
1.3 had another argument added to list.hd and other list functions.
https://github.com/savonet/liquidsoap/blob/master/CHANGES#L52
You can update your code with the new default value argument and it should work.
result = list.hd(default="", get_process_lines("php -q liquid.php"))
OS : Ubuntu 14.04LTS
Language : Python Anaconda 2.7 (keras, theano)
GPU : GTX980Ti
CUDA : CUDA 7.5
I wanna run keras python code on IPython Notebook by using my GPU(GTX980Ti)
But I can't find it.
I want to test below code. When I run it on to Ubuntu terminal,
I command as below (It uses GPU well. It doesn't have any problem)
First I set the path like below
export PATH=/usr/local/cuda/bin:$PATH
export LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH
Second I run the code as below
THEANO_FLAGS='floatX=float32,device=gpu0,nvcc.fastmath=True' python myscript.py
And it runs well.
But when i run the code on pycharm(python IDE) or
When I run it on Ipython Notebook, It doesn't use gpu.
It only uses CPU
myscript.py code is as below.
from theano import function, config, shared, sandbox
import theano.tensor as T
import numpy
import time
vlen = 10 * 30 * 768 # 10 x #cores x # threads per core
iters = 1000
rng = numpy.random.RandomState(22)
x = shared(numpy.asarray(rng.rand(vlen), config.floatX))
f = function([], T.exp(x))
print(f.maker.fgraph.toposort())
t0 = time.time()
for i in xrange(iters):
r = f()
t1 = time.time()
print("Looping %d times took %f seconds" % (iters, t1 - t0))
print("Result is %s" % (r,))
if numpy.any([isinstance(x.op, T.Elemwise) for x in f.maker.fgraph.toposort()]):
print('Used the cpu')
else:
print('Used the gpu')
To solve it, I force the code use gpu as below
(Insert two lines more on myscript.py)
import theano.sandbox.cuda
theano.sandbox.cuda.use("gpu0")
Then It generate the error like below
ERROR (theano.sandbox.cuda): nvcc compiler not found on $PATH. Check your nvcc installation and try again.
how to do it??? I spent two days..
And I surely did the way of using '.theanorc' file at home directory.
I'm using theano on an ipython notebook making use of my system's GPU. This configuration seems to work fine on my system.(Macbook Pro with GTX 750M)
My ~/.theanorc file :
[global]
cnmem = True
floatX = float32
device = gpu0
Various environment variables (I use a virtual environment(macvnev):
echo $LD_LIBRARY_PATH
/opt/local/lib:
echo $PATH
/Developer/NVIDIA/CUDA-7.5/bin:/opt/local/bin:/opt/local/sbin:/Developer/NVIDIA/CUDA-7.0/bin:/Users/Ramana/projects/macvnev/bin:/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin
echo $DYLD_LIBRARY_PATH
/Developer/NVIDIA/CUDA-7.5/lib:/Developer/NVIDIA/CUDA-7.0/lib:
How I run ipython notebook (For me, the device is gpu0) :
$THEANO_FLAGS=mode=FAST_RUN,device=gpu0,floatX=float32 ipython notebook
Output of $nvcc -V :
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2015 NVIDIA Corporation
Built on Thu_Sep_24_00:26:39_CDT_2015
Cuda compilation tools, release 7.5, V7.5.19
From your post, probably you've set the $PATH variable wrong.
ffmpeg -i /home/mysite/public_html/videos/thankyou/thankyou_1.mp4 -strict -2 -vf
"[in]drawtext=fontfile=/home/mysite/fonts/OswaldFont/Oswald-Bold.ttf: x=450:
y=150: fontsize=152: fontcolor=0xAE0216#1: draw='if(gt(n,40),lt(n,300))':
text='THANK YOU',drawtext=fontfile=/home/mysite/fonts/OswaldFont/Oswald-Bold.ttf:
x=450: y=320: fontsize=200: fontcolor=0xAE0216#1: draw='if(gt(n,50),lt(n,300))':
text='JAMISON'" /home/mysite/public_html/videos/thankyou_2.mp4
When running the above, I'm getting the following. It seems to run properly on other distributions. Not sure where to check next.
[Parsed_drawtext_0 # 0x2835480] Option 'draw' not found
[AVFilterGraph # 0x283f980] Error initializing filter 'drawtext' with args 'fontfile=/home/mysite/fonts/OswaldFont/Oswald-Bold.ttf: x=450: y=150: fontsize=152: fontcolor=0xAE0216#1: draw=if(gt(n,40),lt(n,300)): text=THANK YOU'
Error opening filters!
Additionally, this original command works fine in Ubuntu, but give the seen error when running in centOS.
According the the FFmpeg drawtext filter documentation:
draw
This option does not exist, please see the timeline system
This means you should use timeline editing instead.
To do that replace the draw='...' part of your command with:
enable=if(gt(n\,50)\,lt(n\,300))
You should also check:
FFmpeg versions on each machine. You might have an older version installed on Ubuntu, which supports the draw option, and a newer version on CentOS in which the option was removed.
if the font files exist
I have a matlab function img_process that requires the following parameters : image_name intensity and boundary, so if I run the following on my matlab console :
img_process 'pic1.png' 0.01 1
This will run the function and the image will be processed and I will get a result printed out.
Now I have compiled the script as a windows standalone app named img_process_test. I then try to run it from my command line in windows from the distrib folder like :
img_process_test 'pic1.png' 0.01 1
and it will tell me that error imread , file was not found.
I did try to place the pic1.png in the distrib and src and the img_process_test folders but still it will not work.
Any idea ?
Thank you for looking
I have fixed this. I found a good help here : http://blogs.mathworks.com/loren/2010/12/21/strings-and-numbers-as-arguments/
in case someone stumbles into this and would like to know a workaround.