def canvas():
form = CanvasForm()
form2 = NoiseForm()
# If post request with form1, tracks the star selected
if form.validate_on_submit() and form.submit.data:
x = form.data['x']
y = form.data['y']
# outFolder = form.data['outputFolder']
'''This accounts for cases where x and y are close to edges
Note: Done, but can probably be made more pythonic. I have left it as is because stars
are rarely, if ever, near edges of images
TODO: Unhardcode the image size parameters here if I decide to improve this section
TODO: Account for edges without reducing the template size (to avoid reducing accuracy)'''
# This part makes the template bounds so that the star is in the center
template_rect = {'x': x - 100, 'y': y - 100, 'h': 200, 'w': 200}
if x < 100 or x > 1948: # I hard coded a width bound here, change in the future
template_rect['x'] = x
template_rect['w'] = 2 * x
if x > 1948:
template_rect['x'] = 2048 - x
if y < 100 or y > 1948: # I hard coded a height bound here, change in the future
template_rect['y'] = y
template_rect['h'] = 2 * y
if y > 1948:
template_rect['y'] = 2048 - y
'''TODO: I'm leaving previous code, which makes a dictionary, as is for now. Potentially hange this in the future'''
x = template_rect['x']
y = template_rect['y']
height = template_rect['h']
width = template_rect['w']
img = cv2.imread('app/static/images/Initial_Image.jpg', cv2.IMREAD_GRAYSCALE)
template = img[y:y+height, x:x+width]
# print('Warning: The tracking parameters are currently in testing mode (no rotation, 200 pixel translation steps)') # Warns user
# track_matrix_fast('Testing', 'Data/Testing/Denoised', template, img.shape, 360, 200) # This is just for testing, very large steps=fast but inaccurate
track_matrix_fast('Testing', 'Data/Testing/Denoised', template, img.shape) # This is for real tracking
aperture_photometry(np.load('Data/Testing/positions.npy'))
# track_matrix('Testing', 'Data/Testing/Denoised', template_rect)
# track('Testing', 'Data/Testing/Denoised', template_rect)
return redirect('/lightcurve')
# If post request with form2, adjusts the denoising parameter
elif form2.validate_on_submit() and form2.submit.data:
response = make_response(render_template('canvas.html', form=form, form2=form2))
if form2.data['adjust'] == 'reset':
response.set_cookie('threshold', '.35') # If user chooses reset, resets threshold to .35
denoise(.35) # Denoises with .35 as threshold
else:
# Otherwise, increases/decreases threshold by amount specified by user
threshold = round(float(request.cookies.get('threshold')) + float(form2.data['adjust']), 2) # Rounds to 2 decimals
print(str(threshold)) # Just for testing
denoise(threshold) # Denoises with new threshold
response.set_cookie('threshold', str(threshold)) # Sets new threshold
return response
response = make_response(render_template('canvas.html', form=form, form2=form2))
if 'threshold' not in request.cookies: # Sets cookie holding threshold if it hasn't been set
response.set_cookie('threshold', '.35') # Note: Threshold has to be a string, can't use a float
return response
