I purchased a M1 Mac. Is anyone having issues with imshow with opencv. I did pip install opencv-python and brew install opencv and brew install opencv as well.
import cv2
import urllib
import numpy as np
import requests
url = 'https://www.visitcalifornia.com/sites/visitcalifornia.com/files/styles/welcome_image/public/vc_crtr_borntobewild_module_mendocino_st_rf_623667652_1280x640.jpg'
from skimage import io
img = io.imread(url)
img = cv2.cvtColor(img, cv2.COLOR_RGB2BGR)
cv2.imshow('URL Image', img)
cv2.waitKey()
and also
import cv2
cv2.namedWindow("preview")
vc = cv2.VideoCapture(0)
if vc.isOpened(): # try to get the first frame
rval, frame = vc.read()
else:
rval = False
while rval:
cv2.imshow("preview", frame)
rval, frame = vc.read()
key = cv2.waitKey(20)
if key == 27: # exit on ESC
break
cv2.destroyWindow("preview")
vc.release()
does not work for me
It was solved by
pip install opencv-python opencv-python-headless
I was able to solve this by building from the source code of OpenCV 4.5, use this link to get the source code
Try to install Miniconda from https://docs.conda.io/en/latest/miniconda.html
then activate it and try to install cv2 pip install opencv-python
getting 80-90 FPS for just reading image & showing
from my side, all are working in M1 using Miniconda
Opening the terminal in rosetta and doing a pip install(inside virtual environment) helped me build the opencv. Before this , while I was doing it with the M1 terminal, it was giving errors stating some architecture issue. Guess this did the trick to me.
Create Virtual Environment -> Activate it -> (Rosetta Terminal) -> pip3 install opencv-python
Install OpenCV using pip. This normally gives a ffmpeg error, so install that first
First do:
pip3 install ffmpeg
and then
pip3 install opencv-python
I thought I had the same issue. The window was not popping up when using cv2.imshow() or cv2.namedWindow(). I realized hours later that the window was there in the Mac menu bar, I just had to click on it.
Related
I have a Python/OpenCV project and I am trying to use the xfeatures2d module from opencv-contrib. I am using a Mac and my IDE is PyCharm. I have installed the packages opencv-contrib-python and opencv-python through Preferences > Project Intepreter.
However, when I try to run the code below, I get a the following error:
import cv2
import numpy as np
img = cv2.imread("NotreDame.jpg", 0)
sift = cv2.xfeatures2d.SIFT_create()
line 6, in <module>
sift = cv2.xfeatures2d.SIFT_create()
cv2.error: OpenCV(4.1.0) /Users/travis/build/skvark/opencv-python/opencv_contrib/modules/xfeatures2d/src/sift.cpp:1207: error: (-213:The function/feature is not implemented) This algorithm is patented and is excluded in this configuration; Set OPENCV_ENABLE_NONFREE CMake option and rebuild the library in function 'create'
I have installed opencv and opencv-contrib on my computer using:
$ pip install opencv-python==3.4.2.17
$ pip install opencv-contrib-python==3.4.2.17
I am not sure how I can resolve this error. Any insights are appreciated.
When i use pydicom in python3.6, there are some problem:
import pydicom
import matplotlib.pyplot as plt
import os
import pylab
filePath = "/Users/zhuangrui/Documents/Python/Dicom/dicoms/zhang_bo/0001.dcm"
dataSet_1 = pydicom.dcmread(filePath)
plt.imshow(dataSet_1.pixel_array)
plt.show()
here is the problem:
How can this problem be solved？ Thank you very much！
I've faced with the same problem, after doing some research on the suggested link above. I've managed to solve it by updating to the latest pydicom module "1.2.0" and installing gdcm. You can update the pydicom with
pip install -U git+https://github.com/pydicom/pydicom.git
You can find the latest gdcm here and this link explains the installation.
I use anaconda and it's easier to install the gdcm package and solve the problem. If you use anaconda
just type inside from your environment:
conda install pydicom --channel conda-forge to get pydicom's latest and
conda install -c conda-forge gdcm
to get the gdcm. This resolves the problem. Hope these will help.
With pydicom, you need an appropriate image handler also installed to handle compressed image types.
For JPEG lossless, in theory the following should work: jpeg_ls, gdcm, or Pillow with jpeg plugin. All of these also require Numpy to be installed. See the discussion at https://github.com/pydicom/pydicom/issues/532.
There is also a pull request in progress to add more descriptive error messages for what image handlers are needed for different images.
Problem:
I was trying to read medical images with .dcm extension. But was getting an error on Windows as well as on Ubuntu. I find a solution which will work on both the machined.
The error I got on Ubuntu is: NotImplementedError: this transfer syntax JPEG 2000 Image Compression (Lossless Only), can not be read because Pillow lacks the jpeg 2000 decoder plugin
(Note for Windows I was getting a different error but I am sure it's because of the same issue i.e. Pillow does not support JPEG 2000 format)
Platforma Information:
I am using: Python 3.6, Anaconda and Ubuntu, 15 GB RAM
RAM is important:
The solution I applied is the same as Ali explained above. But I want to add this installation may take time (depending on RAM you are using). On ubuntu where I am using 15 GB RAM on Cloud platform taken less time and on Windows on a local machine having 4 GB RAM taken a lot of time.
Solution
Anaconda is necessary. Why?
Please check the official doc of pydicom (https://pydicom.github.io/pydicom/dev/getting_started.html) its mentioned "To install pydicom along with image handlers for compressed pixel data, we encourage you to use Miniconda or Anaconda" (Note for Windows I was getting a different error)
If you are using Ubuntu directly open Terminal. If you are using Windows then on Anaconda Navigator go to Environment from here start terminal. Execute the following commands on it:
pip install -U git+https://github.com/pydicom/pydicom.git
conda install pydicom --channel conda-forge
conda install -c conda-forge gdcm
Cross Check:
Now use .dcm file for which we got the Error. Try to use the following code in Python notebook
filename = 'FileName.dcm'
ds = pydicom.dcmread(filename)
plt.imshow(ds.pixel_array, cmap=plt.cm.bone)
It should print the output. Also try this code:
ds.pixel_array
This will give you the array containing values.
I followed the instructions in this link about Kivy installation "Using Homebrew with pip".
However, when I tried to run the code given below:
from kivy.app import App
from kivy.uix.button import Button
class TestApp(App):
def build(self):
return Button(text='Hello World')
TestApp().run()
It gave me an error:
bash: kivy: command not found
if you installed kivy with pip, you don't need a kivy command, you can use python directly.
python main.py
Because I created a virtual environment to isolate all the things that needs to be installed like kivy, and I installed cython and kivy first before the homebrew, it caused the problem. Even if I use:
python main.py
instead of
kivy main.py
What I did to solve it are the following:
1. Created a new virtual environment
2. Followed the instruction in kivy in right order: (1) homebrew, (2) Cython, then (3) Kivy.
3. Used "python" command instead of "kivy" command because I installed it using pip (refer to the commenr above). For example:
python name_of_your_file.py
Kivy documentation must be confusing that's why.
I have python2.7.8 on mac, things I did:
sudo easy_install pip - worked.
pip install numpy:
Requirement already satisfied (use --upgrade to upgrade): numpy in /System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python
I also did "pip upgrade numpy" - no luck. What's wrong?
Your problem is a conflict of different Python versions.
I would recommend installing Python and all the packages, such as numpy, scipy, matplotlib, pandas, etc via Brew
See this tutorial: https://github.com/Homebrew/homebrew/blob/master/share/doc/homebrew/Homebrew-and-Python.md
You can verify which Python you're running with which python or which python3 in Terminal.
This solution is more flexible and cleaner in my opinion than using Conda/Miniconda. However it is also a bit more lengthy to install, as you need to have Xcode, devtools installed to build everything
Could it be that you have multiple versions of python installed? What happens if you run python using the full path like this:
$ /System/Library/Frameworks/Python.framework/Versions/2.7/bin/python2
instead of just python2?
In my experience on Mac (and other OS too) it is best to go with Anaconda / Miniconda. This is especially true for packages like NumPy and others from scientific stack.
While Anaconda is a full-blown distribution with about 200 packages, Miniconda is just Python with a few basic libraries. The big advantage is that all packages install as binary. Further, it makes it very simple and stable to install multiple Python versions side by side. For example:
conda create -n py27 python=2.7
creates a new environment with Python 2.7. Activate with:
source activate py27
Now:
conda install numpy
installs NumPy cleanly.
You can do the same for Python 3.5 and switch between environments with source activate.
After jumping from one stackoverflow answer to another I found the solution!
my problems were:
numpy at different location( actually at right, expected-to-be location). It was the IDLE that looks for its own default folder where python2.7 installed.
I checked that my numpy is working like this, run this script to check it is working:
import os
import sys
import pygame
sys.path.insert(0, '/System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python')
import numpy
pygame.init()
print "( using __version__): " + numpy.__version__
print numpy.version.version
user_paths = os.environ['PYTHONPATH']
print(user_paths)
sys.path insertion adds additional path to IDLE, so it knows where to look for numpy.
Then I check if numpy truly imported - i just print its version. Right now it is 1.8.0rc.
I want to find a way to avoid using this syspath insertion all the time.
So far so good - for now.
I had a similiar problem with numpy. However, it was resolved by choosing the right environment. If you are using VScode, open the command palette (ctrl+shift+p) and type
Python: Select Interpreter.
From there, try choosing the right virtual environment/Interpreter.
I am trying to capture an image from my web camera on windows using Python 3.
I checked already openCV, but the support of python-3 is missing.
Is there any other way to do so?
In the meantime, OpenCV 3.1 was released and works with Python 3 (since OpenCV 3.0). Pre-compiled Windows binaries can be found here: http://www.lfd.uci.edu/~gohlke/pythonlibs/#opencv
you can try OpenCV, SimpleCV.
using SimpleCV:
from SimpleCV import Image, Camera
cam = Camera()
img = cam.getImage()
img.save("filename.jpg")
using OpenCV:
from cv2 import *
# initialize the camera
cam = VideoCapture(0) # 0 -> index of camera
s, img = cam.read()
if s: # frame captured without any errors
namedWindow("cam-test",CV_WINDOW_AUTOSIZE)
imshow("cam-test",img)
waitKey(0)
destroyWindow("cam-test")
imwrite("filename.jpg",img) #save image
using pygame:
import pygame
import pygame.camera
pygame.camera.init()
pygame.camera.list_camera() #Camera detected or not
cam = pygame.camera.Camera("/dev/video0",(640,480))
cam.start()
img = cam.get_image()
pygame.image.save(img,"filename.jpg")
Install OpenCV:
install python-opencv bindings, numpy
Install SimpleCV:
install python-opencv, pygame, numpy, scipy, simplecv
get latest version of SimpleCV
Install pygame:
install pygame