def selectFileToOpen():
user_selected_image = filedialog.askopenfilename(initialdir="./images", title='FaceDraw: Open File')
# Opening the image
path, file_name = os.path.split(user_selected_image)
cvimage = process_image.openImage(file_name)
#cvimage = cv.cvtColor(cvimage, cv.COLOR_BGR2RGB)
updateWindowImages(cvimage, user_selected_image)
def loadBlank():
print("loading blank")
blank_image = process_image.openImage("BlueSquare.png")
blank_image = convertImageToTk(blank_image, True, 300, 300)
blank_image_text = tkinter.StringVar()
blank_image_text.set("Please Choose An Image")
blank_image_label = tkinter.Label(image_frame, textvariable=blank_image_text, anchor='center')
blank_image_label.grid(row=0, column=0)
blank_image_frame = tkinter.Label(image_frame, image=blank_image, anchor='center')
blank_image_frame.image = blank_image
image_frame.image = blank_image
image_frame2.image = blank_image
blank_image_frame.grid(row=1, column=0)
# Your filename here
filename = 'dock.jpeg'
# Printer configuration
bed_height = 220
bed_width = 280
bed_size = [bed_height, bed_width] # The size of your printer bed
feedrate = 750
# The feedrate of your x-y moves
z_hop = 3.0 # The total Z-hop between each dot (mm)
z_tune = 0.0 # Tune the Z-axis
# Take the picture
# takepicture.take_picture(filename) # Uncomment this if you want to take a picture
# open the image
cv_image = process_image.openImage(filename)
facedraw_image = FaceDrawImage.FaceDrawImage(cv_image, bed_size, line_width=1)
raster = Raster.Raster(facedraw_image.final_image)
points = raster.raster()
Writer.points_moves_to_gcode(filename,
points,
feedrate,
z_hop=z_hop,
z_tune=z_tune)
if resize:
resized_image = pil_image.resize((width, height), Image.ANTIALIAS)
tk_image = ImageTk.PhotoImage(resized_image)
else:
tk_image = ImageTk.PhotoImage(pil_image)
return tk_image
# Image Elements
image_frame = tkinter.Frame(root)
image_frame.grid(row=1, column=0, sticky='W')
o_image_text = tkinter.StringVar()
o_image_text.set("Please Select An Image")
original_image_label_text = tkinter.Label(image_frame, textvariable=o_image_text, anchor='center')
original_image_label_text.grid(row=0, sticky='N')
blank_image = convertImageToTk(process_image.openImage("BlueSquare.png"), True, 300, 300)
original_image_label = tkinter.Label(image_frame, image=blank_image, anchor='center')
original_image_label.image = blank_image
original_image_label.grid(row=1, column=0)
image_frame2 = tkinter.Frame(root)
image_frame2.grid(row=2, column=0, sticky='W')
p_image_text = tkinter.StringVar()
p_image_text.set("")
processed_image_label_text = tkinter.Label(image_frame2, textvariable=p_image_text, anchor='center')
processed_image_label_text.grid(row=0, sticky='N')
processed_image_label = tkinter.Label(image_frame2, image=blank_image, anchor='center')
processed_image_label.image = blank_image
processed_image_label.grid(row=1, sticky='N')
# Options frame
# Input: max_height: The maximum height to move in
# Input: z_hop: The height to hop in between draw moves
# Input: lines: An array of lines to be drawn
# Output: None
def linetogcode(file, max_width, max_height, image_width, image_height, z_hop,
lines):
# Assumptions: All the points are in order representing a path
# Iterate through all the lines to draw
for line in lines:
# Iterate through all the points in the line
for point in line:
# Point = (height, width)
x = point[0]
y = point[1]
# Loading test images
test_image = process_image.openImage('slicer_test_1.png') # A real test image
black_image = np.zeros((test_image.shape[0], test_image.shape[1]),
dtype=np.uint8) # A black test image
blank_image = np.ones((test_image.shape[0], test_image.shape[1]),
dtype=np.uint8) * 255 # A white test image
# Select which image to run
run_image = test_image
# Run the line-pathing algorithm
# print(str(readlines(run_image)))