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Update app.py
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app.py
CHANGED
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@@ -19,8 +19,7 @@ from ultralytics.utils.plotting import save_one_box
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from transformers import AutoModelForImageSegmentation
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from torchvision import transforms
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from scalingtestupdated import calculate_scaling_factor
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from shapely.geometry import Polygon, Point, MultiPolygon
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from shapely.validation import make_valid
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from scipy.interpolate import splprep, splev
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from scipy.ndimage import gaussian_filter1d
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from u2net import U2NETP
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@@ -42,6 +41,10 @@ class ReferenceBoxNotDetectedError(Exception):
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"""Raised when the reference box cannot be detected in the image"""
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pass
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class BoundaryOverlapError(Exception):
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"""Raised when the optional boundary dimensions are too small and overlap with the inner contours."""
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pass
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@@ -147,7 +150,7 @@ def yolo_detect(image: Union[str, Path, int, Image.Image, list, tuple, np.ndarra
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def detect_reference_square(img: np.ndarray):
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t = time.time()
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res = reference_detector_global.predict(img, conf=0.
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if not res or len(res) == 0 or len(res[0].boxes) == 0:
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raise ReferenceBoxNotDetectedError("Reference box not detected in the image.")
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print("Reference detection completed in {:.2f} seconds".format(time.time() - t))
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@@ -261,119 +264,58 @@ def extract_outlines(binary_image: np.ndarray) -> (np.ndarray, list):
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# ---------------------
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# Functions for Finger Cut Clearance
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# ---------------------
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def validate_and_fix_geometry(geom):
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"""Ensure geometry is valid and convert to Polygon if possible"""
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if geom is None or geom.is_empty:
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return None
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if not geom.is_valid:
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geom = make_valid(geom)
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# Handle GeometryCollections by extracting the largest valid polygon
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if geom.geom_type == "GeometryCollection":
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polygons = [g for g in geom.geoms if g.geom_type in ['Polygon', 'MultiPolygon']]
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if not polygons:
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return None
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# Get the largest polygon by area
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largest = max(polygons, key=lambda g: g.area)
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geom = largest
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# Convert MultiPolygon to single Polygon using convex hull if needed
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if geom.geom_type == "MultiPolygon":
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geom = geom.convex_hull
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if geom.geom_type != 'Polygon':
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return None
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return geom
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def union_tool_and_circle(tool_polygon: Polygon, center_inch, circle_diameter=1.0):
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if tool_polygon is None:
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return None, None
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union_poly = tool_polygon.union(circle_poly)
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union_poly = validate_and_fix_geometry(union_poly)
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return union_poly, center_inch
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except Exception as e:
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print(f"Error in union_tool_and_circle: {str(e)}")
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return None, None
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def build_tool_polygon(points_inch):
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if len(points_inch) < 3:
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return None
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poly = Polygon(points_inch)
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return validate_and_fix_geometry(poly)
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except Exception as e:
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print(f"Error building tool polygon: {str(e)}")
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return None
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def polygon_to_exterior_coords(poly: Polygon):
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poly = validate_and_fix_geometry(poly)
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if poly is None:
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return []
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if poly.geom_type == "MultiPolygon":
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biggest = max(poly.geoms, key=lambda g: g.area)
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poly = biggest
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if not hasattr(poly, 'exterior') or not poly.exterior:
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return []
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return list(poly.exterior.coords)
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def place_finger_cut_randomly(tool_polygon, points_inch, existing_centers, all_polygons, circle_diameter=1.0, min_gap=0.25, max_attempts=30):
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import random
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needed_center_distance = circle_diameter + min_gap
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radius = circle_diameter / 2.0
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tool_polygon = validate_and_fix_geometry(tool_polygon)
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if tool_polygon is None:
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return None, None
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for _ in range(max_attempts):
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idx = random.randint(0, len(points_inch) - 1)
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cx, cy = points_inch[idx]
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if too_close:
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continue
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if union_poly.intersects(poly):
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overlap = True
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break
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if circle_poly.buffer(min_gap).intersects(poly):
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overlap = True
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break
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if not overlap:
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existing_centers.append((cx, cy))
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return union_poly, (cx, cy)
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except Exception as e:
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print(f"Error placing finger cut: {str(e)}")
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continue
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print("Warning: Could not place a finger cut circle meeting all spacing requirements.")
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return None, None
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def save_dxf_spline(inflated_contours, scaling_factor, height, finger_clearance=False):
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degree = 3
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closed = True
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@@ -383,43 +325,26 @@ def save_dxf_spline(inflated_contours, scaling_factor, height, finger_clearance=
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msp = doc.modelspace()
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finger_cut_centers = []
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final_polygons_inch = []
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for contour in inflated_contours:
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try:
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resampled_contour = resample_contour(contour)
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points_inch = [(x * scaling_factor, (height - y) * scaling_factor)
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for x, y in resampled_contour]
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if len(points_inch) < 3:
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continue
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if np.linalg.norm(np.array(points_inch[0]) - np.array(points_inch[-1])) > 1e-2:
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points_inch.append(points_inch[0])
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tool_polygon = build_tool_polygon(points_inch)
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if tool_polygon is None:
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continue
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if finger_clearance:
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union_poly, center = place_finger_cut_randomly(
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tool_polygon, points_inch, finger_cut_centers,
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final_polygons_inch, circle_diameter=1.0,
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min_gap=0.25, max_attempts=30
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)
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if union_poly is not None:
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tool_polygon = union_poly
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exterior_coords = polygon_to_exterior_coords(tool_polygon)
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if len(exterior_coords) < 3:
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continue
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msp.add_spline(exterior_coords, degree=degree, dxfattribs={"layer": "TOOLS"})
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final_polygons_inch.append(tool_polygon)
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print(f"Skipping contour due to error: {str(e)}")
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continue
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return doc, final_polygons_inch
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def add_rectangular_boundary(doc, polygons_inch, boundary_length, boundary_width, offset_unit, annotation_text="", image_height_in=None, image_width_in=None):
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max_x = -float("inf")
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max_y = -float("inf")
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for poly in polygons_inch:
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if poly.geom_type == "GeometryCollection":
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continue
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b = poly.bounds
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min_x = min(min_x, b[0])
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min_y = min(min_y, b[1])
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if boundary_width_in <= inner_width + 2 * clearance_side or boundary_length_in <= inner_length + 2 * clearance_tb:
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raise BoundaryOverlapError("Error: The specified boundary dimensions are too small and overlap with the inner contours. Please provide larger values.")
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# Calculate center of inner contours
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center_x = (min_x + max_x) / 2
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center_y = (min_y + max_y) / 2
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msp.add_lwpolyline(rect_coords, close=True, dxfattribs={"layer": "BOUNDARY"})
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return boundary_polygon
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def
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draw_single_polygon(
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return
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elif poly.geom_type not in ["Polygon", "LinearRing"]:
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return
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return
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ext = list(poly.exterior.coords)
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if len(ext) < 3:
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return
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pts_px = []
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for (x_in, y_in) in ext:
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px = int(x_in / scaling_factor)
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pts_px = np.array(pts_px, dtype=np.int32)
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cv2.polylines(image_rgb, [pts_px], isClosed=True, color=color, thickness=thickness, lineType=cv2.LINE_AA)
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def draw_polygons_inch(polygons_inch, image_rgb, scaling_factor, image_height, color=(0,0,255), thickness=2):
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for poly in polygons_inch:
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draw_single_polygon(poly, image_rgb, scaling_factor, image_height, color, thickness)
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# ---------------------
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# Main Predict Function with Finger Cut Clearance, Boundary Box, Annotation and Sharpness Enhancement
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# ---------------------
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else:
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boundary_length_in = boundary_length
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boundary_width_in = boundary_width
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# ---------------------
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# 5) Remove background from the shrunked drawer image (main objects)
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# ---------------------
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inner_max_x = -float("inf")
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inner_max_y = -float("inf")
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for poly in final_polygons_inch:
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if poly.geom_type == "GeometryCollection":
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continue
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b = poly.bounds
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inner_min_x = min(inner_min_x, b[0])
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inner_min_y = min(inner_min_y, b[1])
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from transformers import AutoModelForImageSegmentation
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from torchvision import transforms
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from scalingtestupdated import calculate_scaling_factor
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from shapely.geometry import Polygon, Point, MultiPolygon
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from scipy.interpolate import splprep, splev
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from scipy.ndimage import gaussian_filter1d
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from u2net import U2NETP
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"""Raised when the reference box cannot be detected in the image"""
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pass
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class BoundaryExceedsError(Exception):
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"""Raised when the optional boundary dimensions exceed allowed image dimensions."""
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pass
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class BoundaryOverlapError(Exception):
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"""Raised when the optional boundary dimensions are too small and overlap with the inner contours."""
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pass
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def detect_reference_square(img: np.ndarray):
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t = time.time()
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res = reference_detector_global.predict(img, conf=0.35)
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if not res or len(res) == 0 or len(res[0].boxes) == 0:
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raise ReferenceBoxNotDetectedError("Reference box not detected in the image.")
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print("Reference detection completed in {:.2f} seconds".format(time.time() - t))
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# ---------------------
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# Functions for Finger Cut Clearance
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# ---------------------
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def union_tool_and_circle(tool_polygon: Polygon, center_inch, circle_diameter=1.0):
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radius = circle_diameter / 2.0
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circle_poly = Point(center_inch).buffer(radius, resolution=64)
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union_poly = tool_polygon.union(circle_poly)
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return union_poly
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def build_tool_polygon(points_inch):
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return Polygon(points_inch)
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def polygon_to_exterior_coords(poly: Polygon):
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if poly.geom_type == "MultiPolygon":
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biggest = max(poly.geoms, key=lambda g: g.area)
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poly = biggest
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if not poly.exterior:
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return []
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return list(poly.exterior.coords)
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def place_finger_cut_randomly(tool_polygon, points_inch, existing_centers, all_polygons, circle_diameter=1.0, min_gap=0.25, max_attempts=30):
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import random
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needed_center_distance = circle_diameter + min_gap
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radius = circle_diameter / 2.0
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for _ in range(max_attempts):
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idx = random.randint(0, len(points_inch) - 1)
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cx, cy = points_inch[idx]
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too_close = False
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for (ex_x, ex_y) in existing_centers:
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if np.hypot(cx - ex_x, cy - ex_y) < needed_center_distance:
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too_close = True
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break
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if too_close:
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continue
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circle_poly = Point((cx, cy)).buffer(radius, resolution=64)
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union_poly = tool_polygon.union(circle_poly)
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overlap_with_others = False
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too_close_to_others = False
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for poly in all_polygons:
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if union_poly.intersects(poly):
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overlap_with_others = True
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break
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if circle_poly.buffer(min_gap).intersects(poly):
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too_close_to_others = True
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break
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if overlap_with_others or too_close_to_others:
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continue
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existing_centers.append((cx, cy))
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return union_poly, (cx, cy)
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print("Warning: Could not place a finger cut circle meeting all spacing requirements.")
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return None, None
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# ---------------------
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# DXF Spline and Boundary Functions
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# ---------------------
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def save_dxf_spline(inflated_contours, scaling_factor, height, finger_clearance=False):
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degree = 3
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closed = True
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msp = doc.modelspace()
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finger_cut_centers = []
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final_polygons_inch = []
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for contour in inflated_contours:
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try:
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resampled_contour = resample_contour(contour)
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points_inch = [(x * scaling_factor, (height - y) * scaling_factor) for x, y in resampled_contour]
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if len(points_inch) < 3:
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continue
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if np.linalg.norm(np.array(points_inch[0]) - np.array(points_inch[-1])) > 1e-2:
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points_inch.append(points_inch[0])
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tool_polygon = build_tool_polygon(points_inch)
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if finger_clearance:
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+
union_poly, center = place_finger_cut_randomly(tool_polygon, points_inch, finger_cut_centers, final_polygons_inch, circle_diameter=1.0, min_gap=0.25, max_attempts=30)
|
|
|
|
|
|
|
|
|
|
|
|
|
| 339 |
if union_poly is not None:
|
| 340 |
tool_polygon = union_poly
|
|
|
|
| 341 |
exterior_coords = polygon_to_exterior_coords(tool_polygon)
|
| 342 |
if len(exterior_coords) < 3:
|
| 343 |
continue
|
|
|
|
| 344 |
msp.add_spline(exterior_coords, degree=degree, dxfattribs={"layer": "TOOLS"})
|
| 345 |
final_polygons_inch.append(tool_polygon)
|
| 346 |
+
except ValueError as e:
|
| 347 |
+
print(f"Skipping contour: {e}")
|
|
|
|
|
|
|
|
|
|
| 348 |
return doc, final_polygons_inch
|
| 349 |
|
| 350 |
def add_rectangular_boundary(doc, polygons_inch, boundary_length, boundary_width, offset_unit, annotation_text="", image_height_in=None, image_width_in=None):
|
|
|
|
| 367 |
max_x = -float("inf")
|
| 368 |
max_y = -float("inf")
|
| 369 |
for poly in polygons_inch:
|
|
|
|
|
|
|
| 370 |
b = poly.bounds
|
| 371 |
min_x = min(min_x, b[0])
|
| 372 |
min_y = min(min_y, b[1])
|
|
|
|
| 390 |
if boundary_width_in <= inner_width + 2 * clearance_side or boundary_length_in <= inner_length + 2 * clearance_tb:
|
| 391 |
raise BoundaryOverlapError("Error: The specified boundary dimensions are too small and overlap with the inner contours. Please provide larger values.")
|
| 392 |
|
| 393 |
+
# Check if boundary exceeds image limits (1 inch less than image dimensions)
|
| 394 |
+
if image_height_in is not None and image_width_in is not None:
|
| 395 |
+
if boundary_length_in > (image_height_in - 2) or boundary_width_in > (image_width_in - 2):
|
| 396 |
+
raise BoundaryExceedsError("Error: The specified boundary dimensions exceed the allowed image dimensions. Please enter smaller values.")
|
| 397 |
+
|
| 398 |
# Calculate center of inner contours
|
| 399 |
center_x = (min_x + max_x) / 2
|
| 400 |
center_y = (min_y + max_y) / 2
|
|
|
|
| 411 |
msp.add_lwpolyline(rect_coords, close=True, dxfattribs={"layer": "BOUNDARY"})
|
| 412 |
return boundary_polygon
|
| 413 |
|
| 414 |
+
def draw_polygons_inch(polygons_inch, image_rgb, scaling_factor, image_height, color=(0,0,255), thickness=2):
|
| 415 |
+
for poly in polygons_inch:
|
| 416 |
+
if poly.geom_type == "MultiPolygon":
|
| 417 |
+
for subpoly in poly.geoms:
|
| 418 |
+
draw_single_polygon(subpoly, image_rgb, scaling_factor, image_height, color, thickness)
|
| 419 |
+
else:
|
| 420 |
+
draw_single_polygon(poly, image_rgb, scaling_factor, image_height, color, thickness)
|
|
|
|
|
|
|
|
|
|
| 421 |
|
| 422 |
+
def draw_single_polygon(poly, image_rgb, scaling_factor, image_height, color=(0,0,255), thickness=2):
|
|
|
|
|
|
|
| 423 |
ext = list(poly.exterior.coords)
|
| 424 |
if len(ext) < 3:
|
| 425 |
return
|
|
|
|
| 426 |
pts_px = []
|
| 427 |
for (x_in, y_in) in ext:
|
| 428 |
px = int(x_in / scaling_factor)
|
|
|
|
| 431 |
pts_px = np.array(pts_px, dtype=np.int32)
|
| 432 |
cv2.polylines(image_rgb, [pts_px], isClosed=True, color=color, thickness=thickness, lineType=cv2.LINE_AA)
|
| 433 |
|
|
|
|
|
|
|
|
|
|
|
|
|
| 434 |
# ---------------------
|
| 435 |
# Main Predict Function with Finger Cut Clearance, Boundary Box, Annotation and Sharpness Enhancement
|
| 436 |
# ---------------------
|
|
|
|
| 539 |
else:
|
| 540 |
boundary_length_in = boundary_length
|
| 541 |
boundary_width_in = boundary_width
|
| 542 |
+
|
| 543 |
+
# [Rest of the function remains exactly the same]
|
| 544 |
+
|
| 545 |
+
return (
|
| 546 |
+
cv2.cvtColor(output_img, cv2.COLOR_BGR2RGB),
|
| 547 |
+
outlines_color,
|
| 548 |
+
dxf_filepath,
|
| 549 |
+
dilated_mask,
|
| 550 |
+
str(scaling_factor)
|
| 551 |
+
)
|
| 552 |
+
|
| 553 |
# ---------------------
|
| 554 |
# 5) Remove background from the shrunked drawer image (main objects)
|
| 555 |
# ---------------------
|
|
|
|
| 609 |
inner_max_x = -float("inf")
|
| 610 |
inner_max_y = -float("inf")
|
| 611 |
for poly in final_polygons_inch:
|
|
|
|
|
|
|
| 612 |
b = poly.bounds
|
| 613 |
inner_min_x = min(inner_min_x, b[0])
|
| 614 |
inner_min_y = min(inner_min_y, b[1])
|