I am currently using jupyter-manim since it is the most efficient way for me to use manim. I'm running my code on Kaggle and every time I use TextMobject in manim, it outputs an error that says Latex error converting to dvi. See log output above or the log file: media/Tex/54dfbfee288272f0.log. I've tried TexMobject and Text function, but only the Text function works. The Text function is limited however, and I'm not sure how to change the font. Is there a way to fix this or is it something that comes with using jupyter-manim? It seems that all the other functions work such as drawing shapes, animating scenes, etc.
%%manim
class Text(Scene):
def construct(self):
first_line = TextMobject('Hi')
second_line = TexMobject('Hi')
#Only one that works
third_line = Text('Hi')
I tried your Manim program and it worked as expected for me. I would try making sure
include from manimlib.imports import * in your first line (importing Manim library)
include self.play(...) so you can see them
I think you already have these, but I'm putting them in case you don't.
You may also be getting the error because you do not have a LaTeX distribution installed on your system (i.e. MikTex or Texlive).
I think part of your problem may be the name of the class you chose. I had problems with your code until I changed the name from Text to TextTest. Here is a minimally working example that works fine in my Jupyter notebook (after running import jupyter_manim of course).
%%manim TextTest -p -ql
from manim import *
class TextTest(Scene):
def construct(self):
first_line = TextMobject('Hi 1')
second_line = TexMobject('Hi 2').shift(DOWN)
third_line = Text('Hi 3').shift(UP)
self.add(first_line)
self.add(second_line)
self.add(third_line)
self.wait(1)
Also, you should be aware that TextMobject and TexMobject have been deprecated.
I am using this line of code to call my image in python
(img = cv2.imread("frame12160.jpg")
but I can just call one image once a time how can I call multiple images every time and thanks in advance
You can only read one image at a time using cv2.imread(). If you want to read in multiple images, try using the os package and save the images into a list:
import cv2
import os
my_images = []
os.chdir('/home/stephen/Desktop/images/')
for path in os.listdir(os.getcwd()):
img = cv2.imread(path)
my_images.append(img)
I am a few images in the "Downloads" folder. I want to save the images to a particular folder named "unclassified" using OpenCV. I have already seen the question OpenCV - Saving images to a particular folder of choice and from that I have tried this particular code:
import cv2
import os
img = cv2.imread('1.jpg', 1)
path = '~/Downloads/unclassified'
cv2.imwrite(os.path.join(path , 'waka.jpg'),img)
cv2.waitKey(0)
This works on Windows but it didn't work on Ubuntu (I am working on a Ubuntu 16.04) when I wrote:
cv2.imwrite(os.path.join(path , 'waka.jpg'), img)
The code returned False on Ubuntu. What should I do to solve this error?
You can use something like that:
cv2.imwrite(os.path.expanduser(os.path.join(path , 'waka.jpg')), img)
The problem is with the "~". os.path.expanduser(...) will change that with the appropriate path.
I am using the detectMSERFeatures function in the computer vision toolbox of MATLAB and have been running into a few errors. I have a black and white image that I am reading in to detect the features of, however I want to invert the image before running the feature detection or I am filtering for the red in an image. Therefore, either way I have a binary image that I am trying to use in detectMSERFeatures. I know that does not work, but I have tried several conversions to a usable format and none of them have seemed to work. detectMSERFeatures will pick up features if I use rgb2gray on the original image, but not if I try to convert it. Here is everything I have tried so far:
Target1=imread('Decal0.JPG');
Target1bw=~im2bw(Target1);
Target=uint8(Target1bw);
[m,n]=size(Target);
regionsTarget = detectMSERFeatures(Target, 'MaxAreaVariation',0.15,...
'ThresholdDelta',15, 'RegionAreaRange',[10000 (m*n)/2]);
Target1=imread('Decal0.JPG');
Target1bw=~im2bw(Target1);
Target=im2double(Target1bw);
regionsTarget = detectMSERFeatures(Target, 'MaxAreaVariation',0.15,...
'ThresholdDelta',15, 'RegionAreaRange',[10000 (m*n)/2]);
Target1=imread('Decal0.JPG');
Target1bw=~im2bw(Target1);
Target2=255*Target1bw;
[m,n]=size(Target2);
Target3=zeros(m,n,3);
Target3(:,:,1)=Target2;
Target3(:,:,2)=Target2;
Target3(:,:,3)=Target2;
Target3=uint8(Target3);
Target=rgb2gray(Target3);
regionsTarget = detectMSERFeatures(Target, 'MaxAreaVariation',0.15,...
'ThresholdDelta',15, 'RegionAreaRange',[10000 (m*n)/2]);
What have I done incorrectly?
I brought the question up to Mathworks and it was a bug in MATLAB. Here is their response:
"We have detected a bug in detectMSERFeatures when it handles binary images. A workaround would be is to use regionprops to detect the regions for binary images. Then, MSERRegions can be constructed as follows:
props = regionprops(im2bw(newGrayTarget),'PixelList');
pixlist = {}
for i = 1:numel(props)
pixlist = [pixlist; int32(props(i).PixelList)]; end
r = MSERRegions(pixlist);
Thanks for the help!
I am trying to run a very simple program. To open and jpg file and display it using the opencv library for python. Initially it all worked fine but now it just opens a window which doesn't show the image but says 'not responding'. I need to go to the task manager and close it!
from numpy import *
import matplotlib as plt
import cv2
img = cv2.imread('amandapeet.jpg')
print img.shape
cv2.imshow('Amanda', img)
You missed one more line:
cv2.waitKey(0)
Then the window shows the image until you press any key on keyboard. Or you can pass as following:
cv2.waitKey(1000)
cv2.destroyAllWindows()
Here, window shows image for 1000 ms, or 1 second. After that, the window would disappear itself. But in some cases, it won't. So you can forcefully destroy it using cv2.destroyAllWindows()
Please read more tutorials first : http://docs.opencv.org/trunk/doc/py_tutorials/py_tutorials.html
None of the answers here worked in MacOS. The following works:
Just add a cv2.waitKey(1) after cv2.destroyAllWindows().
Example:
import cv2
image = cv2.imread('my_image.jpg')
cv2.imshow('HSV image', hsv_image); cv2.waitKey(0); cv2.destroyAllWindows(); cv2.waitKey(1)
The solution that worked for me:
Switch from inline graphics to auto. It worked both in Spyder and in Jupyter notebooks.
To change Spyder setting:
Go to Tools > Preferences > IPhyton console > Graphics > Backend: Automatic
(Change backend from Inline to Automatic)
To change Notebook setting:
Enter command:
%matplotlib auto
Some background for my case (for those who may be quick to judge):
It used to work fine: I could open an image, it would load, and it would be responsive (doesn't say "Not responding", can close, focus, etc.) Then I installed some packages and ran some demo notebooks that apparently messed up some settings (Spyder open files were reset too).
I tried adding waitKey(1) (and 0, 30, 1000, etc values too). It made the image load, at least. But the image frame was "Not Responding": didn't refresh, couldn't close, didn't come to top, etc. Had to close using cv2.destroyAllWindows().
Note that everything worked fine during the duration of waitKey. I put this in a loop that shows the same image in the same named window and waits for a few seconds. During the loop everything works fine. As soon as the loop ends, the image window is "Not responding" (which looks like a GUI thread issue). I tried using cv2.startWindowThread(), and didn't make any difference.
Finally, changing from Inline graphics to Auto brought everything back to order.
I've been working with opencv 3.2 and matplotlib too recently and discovered (through trial and error of commenting out lines) that the import of pyplot from matplotlib has some sort of interference with the cv2.imshow() function. I'm not sure why or how it really works but in case anyone searches for this issue and comes across this old forum, this might help. I'm working to try to find a solution around this interference bu
I did also face the same issue. I am running through command line python prompt in centos 7 with the following code
>> import cv2, numpy as np
>> cap=cv2.VideoCapture(0)
>> img=cap.read()
>> cap.release()
>> cv2.imshow('image',img[1])
>> cv2.waitKey(0)
>> cv2.destroyAllWindows()
>> cv2.waitKey(1)
Even then the problem persisted and didn't solve. So I added
>> cv2.imshow('image',img[1])
Adding this did close the image window.Running the command again would create a new instance. Hope you can try if you still face any issues.
The cv2.imshow() function always takes two more functions to load and close the image. These two functions are cv2.waitKey() and cv2.destroyAllWindows(). Inside the cv2.waitKey() function, you can provide any value to close the image and continue with further lines of code.
# First line will provide resizing ability to the window
cv.namedWindow('Amanda', cv.WINDOW_AUTOSIZE)
# Show the image, note that the name of the output window must be same
cv.imshow('Amanda', img)
# T0 load and hold the image
cv.waitKey(0)
# To close the window after the required kill value was provided
cv.destroyAllWindows()
Hoping that you will get the image in a separate window now.
I've installed opencv-contrib-python library instead of opencv-python and now cv2.imshow() function works as expected.
If you have used python notebooks then there is a problem in using cv2.waitKey(0) and cv2.destroyallwindows() in Unix based system to run a program of opencv.
I have an alternative method which would prevent from freezing your image
Steps: -Copy the code from python notebooks and create new filename.py and paste it
- Open terminal
- cd path/to/file
- source activate VirtualEnvironment
- python filename.py
This will run code directly from terminal. Hope this helps you. Example Link: https://youtu.be/8O-FW4Wm10s
I was having this same error until I added the below lines of code. For the waitKey, you can input figures above 0(i.e 1, 100 and above). It serves as the delay time for the window and it is in milliseconds.
----> cv2 waitKey(0)
----> cv2 destroyAllWindows()
I found that i had a breakpoint on the
cv2.waitkey()
funtion. removing that fixed the issue for me
As I tried all solutions mentioned above, it works for displaying an image but in my case, I want to display the video not just the single image in the window, So to solve the problem added
k=cv2.waitkey(10)
if k == 27:
break
after cv2.imshow('title',img)