Spaces:
Runtime error
Runtime error
File size: 2,130 Bytes
5b5e1e2 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 |
import numpy as np
from PIL import Image, ImageDraw
import json
def draw_detections(image, face_results, object_results, show_labels, box_color):
"""Draw detection boxes on image using PIL."""
try:
pil_image = Image.fromarray(image)
draw = ImageDraw.Draw(pil_image)
# Convert color name to RGB
color_map = {
"red": (255, 0, 0),
"green": (0, 255, 0),
"blue": (0, 0, 255),
"yellow": (255, 255, 0),
"purple": (128, 0, 128),
"orange": (255, 165, 0)
}
color = color_map.get(box_color, (255, 0, 0))
# Draw face boxes
for face in face_results:
x, y, w, h = face["bbox"]
draw.rectangle([x, y, x + w, y + h], outline=color, width=3)
if show_labels:
label = f"Face {face.get('confidence', '')}"
draw.text((x, y - 20), label, fill=color)
# Draw object boxes
for obj in object_results:
x, y, w, h = obj["bbox"]
draw.rectangle([x, y, x + w, y + h], outline=color, width=3)
if show_labels:
label = f"{obj['label']} {obj.get('confidence', '')}"
draw.text((x, y - 20), label, fill=color)
return np.array(pil_image)
except Exception as e:
print(f"Error drawing detections: {e}")
return image
def process_image(image, face_cascade, object_net, object_classes, enable_face, enable_objects, face_conf, object_conf):
"""Process image and detect faces and objects."""
from models import detect_faces, detect_objects
face_results = []
object_results = []
if enable_face:
face_results = detect_faces(image, face_cascade, face_conf)
if enable_objects:
object_results = detect_objects(image, object_net, object_classes, object_conf)
return image.copy(), face_results, object_results
def load_detection_models():
"""Load detection models."""
from models import load_detection_models as load_models
return load_models() |