~/my_site/personal_web/mysite/my_app (main)$ python trial.py
Traceback (most recent call last):
  File "trial.py", line 37, in <module>
    with smtplib.SMTP_SSL("smtp.gmail.com", 465, context=context) as server:
TypeError: __init__() got an unexpected keyword argument 'context'
This did not happen 2 months ago. I had made sure all of my codes were running, but now none of them do.
[edit by admin: formatting]
              
Perhaps you were using a virtualenv earlier?  When you're not using a virtualenv, the command python will run Python 2.7 (which is unfortunately a requirement of the operating system).  
I can see that your website is configured to use a virtualenv called myproj, so if you wan the code that you're running from a Bash console to use that env, then you should first run the command
workon myproj
-- once that is done, you'll see (myproj) appear in the prompt in Bash, and the command python will be bound to the version of Python that your website uses, with all of the modules that you've installed into the virtualenv available.
Traceback (most recent call last):
  File "/home/fingerprint/mysite/finegerprint_pipline.py", line 79, in <module>
    results = fingerprint_pipline(img)
  File "/home/fingerprint/mysite/finegerprint_pipline.py", line 44, in fingerprint_pipline
    gabor_img = gabor_filter(normim, angles, freq)
  File "/home/fingerprint/mysite/./utils/gabor_filter.py", line 43, in gabor_filter
    array = np.linspace(-block_size,block_size,(2*block_size + 1))
  File "<__array_function__ internals>", line 5, in linspace
  File "/usr/local/lib/python3.10/site-packages/numpy/core/function_base.py", line 120, in linspace
    num = operator.index(num)
TypeError: 'numpy.float64' object cannot be interpreted as an integer
Getting above error. i have tried it in my local with 3.7 and it was working fine. i have tried to create the VD for python 3.7 but it atkes as 3.10 by default. can you please help me on this
[edit by admin: formatting]
              
Yes, using save and run button in the editor.i have created the webapp using python 3.7 but when run the python file getting the error which seems like 'usr/local/lib/python3.10/site-packages/numpy/core/function_base.py'.
Please suggest i m kind of stuck here
              
Hi,Thank you so much! It's working fine. but now i have my Flask API. when i am trying to run my app i am getting below errors.
https://www.pythonanywhere.com/user/fingerprint/files/var/log/fingerprint.pythonanywhere.com.error.log
2023-04-06 11:43:56,792: Error running WSGI application
2023-04-06 11:43:56,796: ModuleNotFoundError: No module named 'utils'
2023-04-06 11:43:56,796:   File "/var/www/fingerprint_pythonanywhere_com_wsgi.py", line 16, in <module>
2023-04-06 11:43:56,796:     from finegerprint_pipline import app as application  # noqa
2023-04-06 11:43:56,796: 
2023-04-06 11:43:56,796:   File "/home/fingerprint/mysite/finegerprint_pipline.py", line 5, in <module>
2023-04-06 11:43:56,796:     from utils.poincare import calculate_singularities
2023-04-06 11:43:56,796: ***************************************************
I have this folder utils in mysite and i am using that in my different modules finegerprint_pipline.py file like below:
from utils.poincare import calculate_singularities
from utils.segmentation import create_segmented_and_variance_images
from utils.normalization import normalize
from utils.gabor_filter import gabor_filter
from utils.frequency import ridge_freq
from utils import orientation
from utils.crossing_number import calculate_minutiaes
from tqdm import tqdm
from utils.skeletonize import skeletonize
Please help me
[edit by admin: formatting]
import sys
from utils.poincare import calculate_singularities
from utils.segmentation import create_segmented_and_variance_images
from utils.normalization import normalize
from utils.gabor_filter import gabor_filter
from utils.frequency import ridge_freq
from utils import orientation
from utils.crossing_number import calculate_minutiaes
from tqdm import tqdm
from utils.skeletonize import skeletonize
from flask import Flask
application = Flask(__name__)
sys.path.insert(0, '/home/fingerprint/mysite/utils')
@application.route('/')
def hello_world():
    return """
                <title>Python Anywhere hosted web application</title>
            </head>
            <h1>Hello, World!</h1>
                This is the default welcome page for a
                <a href="https://www.pythonanywhere.com/">PythonAnywhere</a>
                hosted web application.
                Find out more about how to configure your own web application
                by visiting the <a href="https://www.pythonanywhere.com/web_app_setup/">web app setup</a> page
            </body>
            </html>"""
def fingerprint_pipline(input_img):
    block_size = 16
    # pipe line picture re https://www.cse.iitk.ac.in/users/biometrics/pages/111.JPG
    # normalization -> orientation -> frequency -> mask -> filtering
    # normalization - removes the effects of sensor noise and finger pressure differences.
    normalized_img = normalize(input_img.copy(), float(100), float(100))
    # color threshold
    # threshold_img = normalized_img
    # _, threshold_im = cv.threshold(normalized_img,127,255,cv.THRESH_OTSU)
    # cv.imshow('color_threshold', normalized_img); cv.waitKeyEx()
    # ROI and normalisation
    (segmented_img, normim, mask) = create_segmented_and_variance_images(normalized_img, block_size, 0.2)
    # orientations
    angles = orientation.calculate_angles(normalized_img, W=block_size, smoth=False)
    orientation_img = orientation.visualize_angles(segmented_img, mask, angles, W=block_size)
    # find the overall frequency of ridges in Wavelet Domain
    freq = ridge_freq(normim, mask, angles, block_size, kernel_size=5, minWaveLength=5, maxWaveLength=15)
    # create gabor filter and do the actual filtering
    gabor_img = gabor_filter(normim, angles, freq)
    # thinning oor skeletonize
    thin_image = skeletonize(gabor_img)
    # minutias
    minutias = calculate_minutiaes(thin_image)
    # singularities
    singularities_img = calculate_singularities(thin_image, angles, 1, block_size, mask)
    # visualize pipeline stage by stage
    output_imgs = [input_img, normalized_img, segmented_img, orientation_img, gabor_img, thin_image, minutias, singularities_img]
    for i in range(len(output_imgs)):
        if len(output_imgs[i].shape) == 2:
            output_imgs[i] = cv.cvtColor(output_imgs[i], cv.COLOR_GRAY2RGB)
    results = np.concatenate([np.concatenate(output_imgs[:4], 1), np.concatenate(output_imgs[4:], 1)]).astype(np.uint8)
    return results
if __name__ == '__main__':
    # open images
    img_dir = './sample_inputs/*'
    output_dir = './output/'
    def open_images(directory):
        images_paths = glob(directory)
        print(images_paths)
        return np.array([cv.imread(img_path,0) for img_path in images_paths])
    images = open_images(img_dir)
    # image pipeline
    os.makedirs(output_dir, exist_ok=True)
    for i, img in enumerate(tqdm(images)):
        results = fingerprint_pipline(img)
        cv.imwrite(output_dir+str(i)+'.png', results)
        # cv.imshow('image pipeline', results); cv.waitKeyEx()
If you're running it from bash, use the python3.8 command instead of just python
If you're running it fun the editor, see this help page
If you want to use it for a website you've set up on the "Web" page, just change the version on that page. 
If you're trying to run it some other way, could you give some more details?
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