def main():

    compas_mesh = Mesh.from_obj(os.path.join(DATA, MODEL))
    delta = get_param({}, key='delta',
                      defaults_type='gcode')  # boolean for delta printers
    print_volume_x = get_param({}, key='print_volume_x',
                               defaults_type='gcode')  # in mm
    print_volume_y = get_param({}, key='print_volume_y',
                               defaults_type='gcode')  # in mm
    if delta:
        move_mesh_to_point(compas_mesh, Point(0, 0, 0))
    else:
        move_mesh_to_point(compas_mesh,
                           Point(print_volume_x / 2, print_volume_y / 2, 0))

    # ----- slicing
    slicer = PlanarSlicer(compas_mesh, slicer_type="cgal", layer_height=4.5)
    slicer.slice_model()
    generate_brim(slicer, layer_width=3.0, number_of_brim_offsets=4)
    simplify_paths_rdp_igl(slicer, threshold=0.6)
    seams_smooth(slicer, smooth_distance=10)
    slicer.printout_info()
    save_to_json(slicer.to_data(), OUTPUT_DIR, 'slicer_data.json')

    # ----- print organization
    print_organizer = PlanarPrintOrganizer(slicer)
    print_organizer.create_printpoints()
    # Set fabrication-related parameters
    set_extruder_toggle(print_organizer, slicer)
    print_organizer.printout_info()

    # create and output gcode
    gcode_parameters = {}  # leave all to default
    gcode_text = print_organizer.output_gcode(gcode_parameters)
    utils.save_to_text_file(gcode_text, OUTPUT_DIR, 'my_gcode.gcode')
Beispiel #2
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def main():
    compas_mesh = Mesh.from_obj(os.path.join(DATA, MODEL))
    move_mesh_to_point(compas_mesh, Point(0, 0, 0))

    # Slicing
    slicer = PlanarSlicer(compas_mesh, slicer_type="cgal", layer_height=5.0)
    slicer.slice_model()

    # Sorting into vertical layers and reordering
    sort_into_vertical_layers(slicer, max_paths_per_layer=10)
    reorder_vertical_layers(slicer, align_with="x_axis")

    # Post-processing
    generate_brim(slicer, layer_width=3.0, number_of_brim_offsets=5)
    simplify_paths_rdp_igl(slicer, threshold=0.7)
    seams_smooth(slicer, smooth_distance=10)
    slicer.printout_info()
    save_to_json(slicer.to_data(), OUTPUT_DIR, 'slicer_data.json')

    # PlanarPrintOrganization
    print_organizer = PlanarPrintOrganizer(slicer)
    print_organizer.create_printpoints()

    set_extruder_toggle(print_organizer, slicer)
    add_safety_printpoints(print_organizer, z_hop=10.0)
    set_linear_velocity_constant(print_organizer, v=25.0)
    set_blend_radius(print_organizer, d_fillet=10.0)

    print_organizer.printout_info()

    printpoints_data = print_organizer.output_printpoints_dict()
    utils.save_to_json(printpoints_data, OUTPUT_DIR, 'out_printpoints.json')
Beispiel #3
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def main():
    start_time = time.time()

    ### --- Load stl
    compas_mesh = Mesh.from_obj(os.path.join(DATA, MODEL))

    ### --- Move to origin
    move_mesh_to_point(compas_mesh, Point(0, 0, 0))

    ### --- Slicer
    # options: 'default' : Both for open and closed paths. But slow
    #          'cgal' : Very fast. Only for closed paths. Requires additional installation (compas_cgal).
    slicer = PlanarSlicer(compas_mesh, slicer_type="cgal", layer_height=1.5)
    slicer.slice_model()

    ### --- Generate brim
    generate_brim(slicer, layer_width=3.0, number_of_brim_paths=3)

    ### --- Simplify the paths by removing points with a certain threshold
    # change the threshold value to remove more or less points
    simplify_paths_rdp(slicer, threshold=0.7)

    ### --- Smooth the seams between layers
    # change the smooth_distance value to achieve smoother, or more abrupt seams
    seams_smooth(slicer, smooth_distance=10)

    ### --- Prints out the info of the slicer
    slicer.printout_info()

    viewer = ObjectViewer()
    viewer.view.use_shaders = False
    slicer.visualize_on_viewer(viewer)

    utils.save_to_json(slicer.to_data(), OUTPUT_DIR, 'slicer_data.json')

    ### --- Fabrication - related information
    print_organizer = PrintOrganizer(slicer)
    print_organizer.create_printpoints(compas_mesh)
    print_organizer.set_extruder_toggle()
    print_organizer.add_safety_printpoints(z_hop=20)
    print_organizer.set_linear_velocity("constant", v=25)

    ### --- Save printpoints dictionary to json file
    printpoints_data = print_organizer.output_printpoints_dict()
    utils.save_to_json(printpoints_data, OUTPUT_DIR, 'out_printpoints.json')

    print_organizer.visualize_on_viewer(viewer, visualize_polyline=True, visualize_printpoints=False)
    viewer.update()
    viewer.show()

    end_time = time.time()
    print("Total elapsed time", round(end_time - start_time, 2), "seconds")
def create_setup(filename):
    """ Setting up the stage for testing. """
    FILE = os.path.abspath(os.path.join(DATA, filename))
    compas_mesh = Mesh.from_obj(FILE)
    slicer = PlanarSlicer(compas_mesh, slicer_type="default", layer_height=20)
    slicer.slice_model()
    generate_brim(slicer, layer_width=3.0, number_of_brim_offsets=3)
    simplify_paths_rdp(slicer, threshold=1.3)
    # seams_smooth(slicer, smooth_distance=10)
    slicer.printout_info()
    print_organizer = PlanarPrintOrganizer(slicer)
    print_organizer.create_printpoints()
    return slicer, print_organizer
Beispiel #5
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def main():
    start_time = time.time()

    ### --- Load stl
    compas_mesh = Mesh.from_obj(os.path.join(DATA, MODEL))

    ### --- Move to origin
    move_mesh_to_point(compas_mesh, Point(0, 0, 0))

    ### --- Slicer
    # try out different slicers by changing the slicer_type
    # options: 'default', 'meshcut', 'cgal'
    slicer = PlanarSlicer(compas_mesh, slicer_type="default", layer_height=1.5)
    slicer.slice_model()

    ### --- Generate brim
    generate_brim(slicer, layer_width=3.0, number_of_brim_paths=3)

    ### --- Simplify the printpaths by removing points with a certain threshold
    # change the threshold value to remove more or less points
    simplify_paths_rdp(slicer, threshold=0.9)

    ### --- Prints out the info of the slicer
    slicer.printout_info()

    viewer = ObjectViewer()
    viewer.view.use_shaders = False
    slicer.visualize_on_viewer(viewer)

    utils.save_to_json(slicer.to_data(), OUTPUT_DIR, 'slicer_data.json')

    ### --- Fabrication - related information
    print_organizer = PrintOrganizer(slicer)
    print_organizer.create_printpoints(compas_mesh)
    print_organizer.set_extruder_toggle()
    print_organizer.add_safety_printpoints(z_hop=20)
    print_organizer.set_linear_velocity("constant", v=25)

    ### --- Save printpoints dictionary to json file
    printpoints_data = print_organizer.output_printpoints_dict()
    utils.save_to_json(printpoints_data, OUTPUT_DIR, 'out_printpoints.json')

    # # print_organizer.visualize_on_viewer(viewer, visualize_polyline=True, visualize_printpoints=False)
    viewer.update()
    viewer.show()

    end_time = time.time()
    print("Total elapsed time", round(end_time - start_time, 2), "seconds")
Beispiel #6
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def main():
    start_time = time.time()

    # ==========================================================================
    # Load mesh
    # ==========================================================================
    compas_mesh = Mesh.from_obj(os.path.join(DATA, MODEL))

    # ==========================================================================
    # Move to origin
    # ==========================================================================
    move_mesh_to_point(compas_mesh, Point(0, 0, 0))

    # ==========================================================================
    # Slicing
    # options: 'default': Both for open and closed paths. But slow
    #          'cgal':    Very fast. Only for closed paths.
    #                     Requires additional installation (compas_cgal).
    # ==========================================================================
    slicer = PlanarSlicer(compas_mesh, slicer_type="cgal", layer_height=1.5)
    slicer.slice_model()

    # ==========================================================================
    # Generate brim / raft
    # ==========================================================================
    # NOTE: Typically you would want to use either a brim OR a raft,
    # however, in this example both are used to explain the functionality
    generate_brim(slicer, layer_width=3.0, number_of_brim_offsets=4)
    generate_raft(slicer,
                  raft_offset=20,
                  distance_between_paths=5,
                  direction="xy_diagonal",
                  raft_layers=1)

    # ==========================================================================
    # Simplify the paths by removing points with a certain threshold
    # change the threshold value to remove more or less points
    # ==========================================================================
    simplify_paths_rdp_igl(slicer, threshold=0.6)

    # ==========================================================================
    # Smooth the seams between layers
    # change the smooth_distance value to achieve smoother, or more abrupt seams
    # ==========================================================================
    seams_smooth(slicer, smooth_distance=10)

    # ==========================================================================
    # Prints out the info of the slicer
    # ==========================================================================
    slicer.printout_info()

    # ==========================================================================
    # Save slicer data to JSON
    # ==========================================================================
    save_to_json(slicer.to_data(), OUTPUT_DIR, 'slicer_data.json')

    # ==========================================================================
    # Initializes the PlanarPrintOrganizer and creates PrintPoints
    # ==========================================================================
    print_organizer = PlanarPrintOrganizer(slicer)
    print_organizer.create_printpoints()

    # ==========================================================================
    # Set fabrication-related parameters
    # ==========================================================================
    set_extruder_toggle(print_organizer, slicer)
    add_safety_printpoints(print_organizer, z_hop=10.0)
    set_linear_velocity_constant(print_organizer, v=25.0)
    set_blend_radius(print_organizer, d_fillet=10.0)

    # ==========================================================================
    # Prints out the info of the PrintOrganizer
    # ==========================================================================
    print_organizer.printout_info()

    # ==========================================================================
    # Converts the PrintPoints to data and saves to JSON
    # =========================================================================
    printpoints_data = print_organizer.output_printpoints_dict()
    utils.save_to_json(printpoints_data, OUTPUT_DIR, 'out_printpoints.json')

    # ==========================================================================
    # Initializes the compas_viewer and visualizes results
    # ==========================================================================
    viewer = app.App(width=1600, height=1000)
    # slicer.visualize_on_viewer(viewer, visualize_mesh=False, visualize_paths=True)
    print_organizer.visualize_on_viewer(viewer, visualize_printpoints=True)
    viewer.show()

    end_time = time.time()
    print("Total elapsed time", round(end_time - start_time, 2), "seconds")
Beispiel #7
0
# ==========================================================================
move_mesh_to_point(compas_mesh, Point(0, 0, 0))

# ==========================================================================
# Slicing
# options: 'default': Both for open and closed paths. But slow
#          'cgal':    Very fast. Only for closed paths.
#                     Requires additional installation (compas_cgal).
# ==========================================================================
slicer = PlanarSlicer(compas_mesh, slicer_type="cgal", layer_height=1.5)
slicer.slice_model()

# ==========================================================================
# Generate brim
# ==========================================================================
generate_brim(slicer, layer_width=3.0, number_of_brim_paths=3)

# ==========================================================================
# Simplify the paths by removing points with a certain threshold
# change the threshold value to remove more or less points
# ==========================================================================
simplify_paths_rdp(slicer, threshold=0.3)

### =======================================================================
### -----------------------------------------------------------------------
### INSERT YOUR CUSTOM FUNCTION BELOW
### -----------------------------------------------------------------------
### =======================================================================
create_overhang_texture(slicer, overhang_distance=15)

# ==========================================================================
def main():
    start_time = time.time()

    # --- Load initial_mesh
    mesh = Mesh.from_obj(os.path.join(DATA_PATH, OBJ_INPUT_NAME))

    # --- Load targets (boundaries)
    low_boundary_vs = utils.load_from_json(DATA_PATH, 'boundaryLOW.json')
    high_boundary_vs = utils.load_from_json(DATA_PATH, 'boundaryHIGH.json')
    create_mesh_boundary_attributes(mesh, low_boundary_vs, high_boundary_vs)

    avg_layer_height = 15.0

    parameters = {
        'avg_layer_height':
        avg_layer_height,  # controls number of curves that will be generated
        'min_layer_height': 0.3,
        'max_layer_height': 5.0  # 2.0,
    }

    preprocessor = InterpolationSlicingPreprocessor(mesh, parameters,
                                                    DATA_PATH)
    preprocessor.create_compound_targets()
    g_eval = preprocessor.create_gradient_evaluation(
        norm_filename='gradient_norm.json',
        g_filename='gradient.json',
        target_1=preprocessor.target_LOW,
        target_2=preprocessor.target_HIGH)
    preprocessor.find_critical_points(
        g_eval,
        output_filenames=['minima.json', 'maxima.json', 'saddles.json'])

    # --- slicing
    slicer = InterpolationSlicer(mesh, preprocessor, parameters)
    slicer.slice_model()  # compute_norm_of_gradient contours
    generate_brim(slicer, layer_width=3.0, number_of_brim_offsets=5)
    seams_smooth(slicer, smooth_distance=10)

    simplify_paths_rdp_igl(slicer, threshold=0.5)
    slicer.printout_info()
    utils.save_to_json(slicer.to_data(), OUTPUT_PATH, 'curved_slicer.json')

    # --- Print organizer
    print_organizer = InterpolationPrintOrganizer(slicer, parameters,
                                                  DATA_PATH)
    print_organizer.create_printpoints()

    set_linear_velocity_by_range(
        print_organizer,
        param_func=lambda ppt: ppt.layer_height,
        parameter_range=[avg_layer_height * 0.5, avg_layer_height * 2.0],
        velocity_range=[150, 70],
        bound_remapping=False)
    set_extruder_toggle(print_organizer, slicer)
    add_safety_printpoints(print_organizer, z_hop=10.0)
    smooth_printpoints_up_vectors(print_organizer, strength=0.5, iterations=10)
    smooth_printpoints_layer_heights(print_organizer,
                                     strength=0.5,
                                     iterations=5)

    # --- Save printpoints dictionary to json file
    printpoints_data = print_organizer.output_printpoints_dict()
    utils.save_to_json(printpoints_data, OUTPUT_PATH, 'out_printpoints.json')

    # ----- Visualize
    viewer = app.App(width=1600, height=1000)
    # slicer.visualize_on_viewer(viewer, visualize_mesh=False, visualize_paths=True)
    print_organizer.visualize_on_viewer(viewer, visualize_printpoints=True)
    viewer.show()

    end_time = time.time()
    print("Total elapsed time", round(end_time - start_time, 2), "seconds")
def main():
    start_time = time.time()

    # ==========================================================================
    # Load mesh
    # ==========================================================================
    compas_mesh = Mesh.from_obj(os.path.join(DATA, MODEL))

    # ==========================================================================
    # Move to origin
    # ==========================================================================
    move_mesh_to_point(compas_mesh, Point(0, 0, 0))

    # ==========================================================================
    # Slicing
    # options: 'default': Both for open and closed paths. But slow
    #          'cgal':    Very fast. Only for closed paths.
    #                     Requires additional installation (compas_cgal).
    # ==========================================================================
    slicer = PlanarSlicer(compas_mesh, slicer_type="default", layer_height=1.5)
    slicer.slice_model()

    # ==========================================================================
    # Generate brim
    # ==========================================================================
    generate_brim(slicer, layer_width=3.0, number_of_brim_paths=3)

    # ==========================================================================
    # Simplify the paths by removing points with a certain threshold
    # change the threshold value to remove more or less points
    # ==========================================================================
    simplify_paths_rdp(slicer, threshold=0.3)

    # ==========================================================================
    # Smooth the seams between layers
    # change the smooth_distance value to achieve smoother, or more abrupt seams
    # ==========================================================================
    seams_smooth(slicer, smooth_distance=10)

    # ==========================================================================
    # Prints out the info of the slicer
    # ==========================================================================
    slicer.printout_info()

    # ==========================================================================
    # Save slicer data to JSON
    # ==========================================================================
    save_to_json(slicer.to_data(), OUTPUT_DIR, 'slicer_data.json')

    # ==========================================================================
    # Initializes the PlanarPrintOrganizer and creates PrintPoints
    # ==========================================================================
    print_organizer = PlanarPrintOrganizer(slicer)
    print_organizer.create_printpoints()

    # ==========================================================================
    # Set fabrication-related parameters
    # ==========================================================================
    set_extruder_toggle(print_organizer, slicer)
    add_safety_printpoints(print_organizer, z_hop=10.0)
    set_linear_velocity(print_organizer, "constant", v=25.0)
    set_blend_radius(print_organizer, d_fillet=10.0)

    # ==========================================================================
    # Prints out the info of the PrintOrganizer
    # ==========================================================================
    slicer.printout_info()

    print_organizer.printout_info()

    # ==========================================================================
    # Converts the PrintPoints to data and saves to JSON
    # =========================================================================
    printpoints_data = print_organizer.output_printpoints_dict()
    utils.save_to_json(printpoints_data, OUTPUT_DIR, 'out_printpoints.json')

    # ==========================================================================
    # Initializes the compas_viewer and visualizes results
    # ==========================================================================
    """
def main():
    start_time = time.time()

    avg_layer_height = 4.0
    parameters = {
        'avg_layer_height':
        avg_layer_height,  # controls number of curves that will be generated
        'min_layer_height': 0.2,
        'max_layer_height': 4.0,
        'uneven_upper_targets_offset': 0,
        'target_HIGH_smooth_union': [True, [25.0]],  # on/off, blend radius
    }

    ### --- Load initial_mesh
    mesh = Mesh.from_obj(os.path.join(DATA_PATH, OBJ_INPUT_NAME))

    # --- Load targets (boundaries)
    low_boundary_vs = utils.load_from_json(DATA_PATH, 'boundaryLOW.json')
    high_boundary_vs = utils.load_from_json(DATA_PATH, 'boundaryHIGH.json')
    create_mesh_boundary_attributes(mesh, low_boundary_vs, high_boundary_vs)

    # --- Create pre-processor
    preprocessor = InterpolationSlicingPreprocessor(mesh, parameters,
                                                    DATA_PATH)
    preprocessor.create_compound_targets()
    preprocessor.targets_laplacian_smoothing(iterations=4, strength=0.05)

    #########################################
    # --- region split
    if REGION_SPLIT:
        # --- ADVANCED slicing with region split
        g_eval = preprocessor.create_gradient_evaluation(
            target_1=preprocessor.target_LOW,
            target_2=preprocessor.target_HIGH,
            save_output=True)
        preprocessor.find_critical_points(
            g_eval,
            output_filenames=['minima.json', 'maxima.json', 'saddles.json'])
        preprocessor.region_split(
            save_split_meshes=True)  # split mesh regions on saddle points
        # utils.interrupt()

    #########################################
    # --- slicing
    if SLICER:

        slicers = []
        filenames = utils.get_all_files_with_name('split_mesh_', '.json',
                                                  OUTPUT_PATH)
        split_meshes = [
            Mesh.from_json(os.path.join(OUTPUT_PATH, filename))
            for filename in filenames
        ]
        for i, split_mesh in enumerate(split_meshes):
            preprocessor_split = InterpolationSlicingPreprocessor(
                split_mesh, parameters, DATA_PATH)
            preprocessor_split.create_compound_targets()
            preprocessor_split.create_gradient_evaluation(
                norm_filename='gradient_norm_%d.json' % i,
                g_filename='gradient_%d.json' % i,
                target_1=preprocessor_split.target_LOW,
                target_2=preprocessor_split.target_HIGH)

            slicer = InterpolationSlicer(split_mesh, preprocessor_split,
                                         parameters)
            if i == 3:
                slicer.n_multiplier = 0.85
            slicer.slice_model()

            if i == 0:
                generate_brim(slicer,
                              layer_width=3.0,
                              number_of_brim_offsets=5)

            seams_smooth(slicer, smooth_distance=0.1)
            simplify_paths_rdp_igl(slicer, threshold=0.25)
            utils.save_to_json(slicer.to_data(), OUTPUT_PATH,
                               'curved_slicer_%d.json' % i)
            slicers.append(slicer)

        # utils.interrupt()

    #########################################
    # --- print organization
    if PRINT_ORGANIZER:
        filenames = utils.get_all_files_with_name('curved_slicer_', '.json',
                                                  OUTPUT_PATH)
        slicers = [
            InterpolationSlicer.from_data(
                utils.load_from_json(OUTPUT_PATH, filename))
            for filename in filenames
        ]
        for i, slicer in enumerate(slicers):
            print_organizer = InterpolationPrintOrganizer(
                slicer, parameters, DATA_PATH)
            print_organizer.create_printpoints()
            set_extruder_toggle(print_organizer, slicer)
            set_blend_radius(print_organizer)
            add_safety_printpoints(print_organizer, z_hop=10.0)
            smooth_printpoints_up_vectors(print_organizer,
                                          strength=0.5,
                                          iterations=10)
            set_wait_time_on_sharp_corners(print_organizer,
                                           threshold=0.5 * math.pi,
                                           wait_time=0.2)

            # --- Save printpoints dictionary to json file
            printpoints_data = print_organizer.output_printpoints_dict()
            utils.save_to_json(printpoints_data, OUTPUT_PATH,
                               'out_printpoints_%d.json' % i)

    end_time = time.time()
    print("Total elapsed time", round(end_time - start_time, 2), "seconds")