def sudoku(fname):
f_path = os.path.join(app.config['UPLOAD_FOLDER'], fname)
# create sudokuimage object
sdku_img = SudokuImage(f_path)
# this would be a good point to check if the
# image was processed correctly. The number of rows/cols
# not equal to 10 is a good indication of failure.
#
# the object is set so that self.rows/cols = False if the
# length is not equal to 10.
if sdku_img.rows and sdku_img.cols:
sudoku_grid = np.zeros((9,9), dtype = int)
# note: empty cells will be denoted by 0
print 'ENTER THE FOR LOOP'
# use knn to predict the value of non-empty sdku_img cells
for cell in sdku_img.predict_cells():
sudoku_grid[cell[0], cell[1]] = cell[2]
print 'MAKES IT OUT OF THE FOR LOOP'
no_failure = True
solved_grid = sudoku_grid.copy()
if request.method == 'POST':
sdku = Sudoku(solved_grid) # create sudoku object
no_failure, solution = sdku.solve() # solve sudoku
# if sudoku cant be solved, redirect with error message
if not no_failure:
flash("Oops, I am having trouble with your Sudoku! Let's try this again.")
return redirect(url_for('sudokusolver'))
return render_template('sudoku_image.html',image =
url_for('static',
filename = 'uploaded_sudokus/'+fname),
initial_sudoku = sudoku_grid,
solved_sudoku = solved_grid)
# initial rendering to user, before they hit submit
return render_template('sudoku_image.html',image =
url_for('static',
filename = 'uploaded_sudokus/'+fname),
initial_sudoku = sudoku_grid,
solved_sudoku = solved_grid)
else:
flash("Oops, I am having trouble with your Sudoku! Take a clearer photo and try again.")
return redirect(url_for('sudokusolver'))
def sudoku(fname):
f_path = os.path.join(application.config['UPLOAD_FOLDER'], fname)
# create sudokuimage object
sdku_img = SudokuImage(f_path)
# catch any initial image processing errors
# if len(rows/cols) != 10, the object sets them to false
if sdku_img.rows and sdku_img.cols:
sudoku_grid = np.zeros((9,9), dtype = int)
# note: empty cells will be denoted by 0
# use knn to predict the value of non-empty sdku_img cells
for cell in sdku_img.predict_cells():
sudoku_grid[cell[0], cell[1]] = cell[2]
no_failure = True
solved_grid = sudoku_grid.copy()
if request.method == 'POST':
sdku = Sudoku(solved_grid) # create sudoku object
no_failure, solution = sdku.solve() # solve sudoku
# if sudoku cant be solved, redirect with error message
# typically this is due to bad prediction
if not no_failure:
flash("Oops, I am having trouble processing your Sudoku! Take a clearer photo and try again.")
return redirect(url_for('sudokusolver'))
# render when everything goes according to plan
return render_template('sudoku_image.html',image =
url_for('static',
filename = 'uploads/'+fname),
initial_sudoku = sudoku_grid,
solved_sudoku = solved_grid)
# initial rendering to user, before they hit submit
return render_template('sudoku_image.html',image =
url_for('static',
filename = 'uploads/'+fname),
initial_sudoku = sudoku_grid,
solved_sudoku = solved_grid)
else:
# this is rendered when the image can't be processed initially
flash("Oops, I am having trouble processing your Sudoku! Take a clearer photo and try again.")
return redirect(url_for('sudokusolver'))
def sudoku(fname):
f_path = os.path.join(application.config['UPLOAD_FOLDER'], fname)
# create sudokuimage object
sdku_img = SudokuImage(f_path)
# catch any initial image processing errors
# if len(rows/cols) != 10, the object sets them to false
if sdku_img.rows and sdku_img.cols:
sudoku_grid = np.zeros((9,9), dtype = int)
# note: empty cells will be denoted by 0
# use knn to predict the value of non-empty sdku_img cells
for cell in sdku_img.predict_cells():
sudoku_grid[cell[0], cell[1]] = cell[2]
no_failure = True
solved_grid = sudoku_grid.copy()
if request.method == 'POST':
sdku = Sudoku(solved_grid) # create sudoku object
no_failure, solution = sdku.solve() # solve sudoku
# if sudoku cant be solved, redirect with error message
# typically this is due to bad prediction
if not no_failure:
flash("Oops, I am having trouble processing your Sudoku! Take a clearer photo and try again.")
return redirect(url_for('sudokusolver'))
# render when everything goes according to plan
return render_template('sudoku_image.html',image =
url_for('static',
filename = 'uploads/'+fname),
initial_sudoku = sudoku_grid,
solved_sudoku = solved_grid)
# initial rendering to user, before they hit submit
return render_template('sudoku_image.html',image =
url_for('static',
filename = 'uploads/'+fname),
initial_sudoku = sudoku_grid,
solved_sudoku = solved_grid)
else:
# this is rendered when the image can't be processed initially
flash("Oops, I am having trouble processing your Sudoku! Take a clearer photo and try again.")
return redirect(url_for('sudokusolver'))
