70 lines
2.1 KiB
Python
70 lines
2.1 KiB
Python
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import os
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from typing import List, Tuple
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import torch
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from PIL import Image, ImageDraw, ImageFont
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from ultralytics import YOLO
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DIR_PATH = os.path.dirname(os.path.realpath(__file__))
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FACES_PATH = os.path.join(DIR_PATH, "assets/weights/yolov8n-face.pt")
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PLATES_PATH = os.path.join(DIR_PATH, "assets/weights/yolov8-plate.pt")
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FACES_MODEL = YOLO(FACES_PATH)
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PLATES_MODEL = YOLO(PLATES_PATH)
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CONF_THRESH = 0.3
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IOU_THRESH = 0.5
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class BoundBox:
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def __init__(self, x1, y1, x2, y2):
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self.x1, self.y1, self.x2, self.y2 = x1, y1, x2, y2
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self.selected = True
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def select(self):
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self.selected = True
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def unselect(self):
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self.selected = False
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def get_params(self) -> Tuple[int, int, int, int]:
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return self.x1, self.y1, self.x2, self.y2
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def detect(image_path: str) -> List[BoundBox]:
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device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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faces = FACES_MODEL.predict(
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source=image_path, conf=CONF_THRESH, iou=IOU_THRESH, device=device
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)
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faces = faces[0].cpu().numpy().boxes
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plates = PLATES_MODEL.predict(
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source=image_path, conf=CONF_THRESH, iou=IOU_THRESH, device=device
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)
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plates = plates[0].cpu().numpy().boxes
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bounding_boxes = []
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for boxes in [faces, plates]:
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for box in boxes:
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xyxyn = box.xyxy[0]
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x1 = int(xyxyn[0])
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y1 = int(xyxyn[1])
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x2 = int(xyxyn[2])
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y2 = int(xyxyn[3])
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bounding_boxes.append(BoundBox(x1, y1, x2, y2))
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return bounding_boxes
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def show_image_with_boxes(
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in_image_path: str, bounding_boxes: List[BoundBox], out_image_path: str = None
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):
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img = Image.open(in_image_path)
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draw = ImageDraw.Draw(img)
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font_path = DIR_PATH + "/assets/fonts/arial.ttf"
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font = ImageFont.truetype(font_path, 25)
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for i, box in enumerate(bounding_boxes):
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draw.rectangle(box.get_params(), outline="red", width=2, fill=None)
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draw.text((box.x1 + 5, box.y1 + 5), str(i+1), fill="red", font=font)
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if not out_image_path:
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out_image_path = (
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in_image_path.split(".")[0] + "_out." + in_image_path.split(".")[1]
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)
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img.save(out_image_path)
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