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Feeding_control_system/vision/detector.py

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# vision/detector.py
import os
from ultralytics import YOLO
from vision.angle_detector import get_current_door_angle
from vision.overflow_detector import detect_overflow_from_image
from vision.alignment_detector import detect_vehicle_alignment
class VisionDetector:
def __init__(self, settings):
self.settings = settings
# 模型实例
self.angle_model = None
self.overflow_model = None
self.alignment_model = None
def load_models(self):
"""
加载所有视觉检测模型
"""
success = True
# 加载夹角检测模型
try:
if not os.path.exists(self.settings.angle_model_path):
print(f"夹角检测模型不存在: {self.settings.angle_model_path}")
success = False
else:
# 注意angle.pt模型通过predict_obb_best_angle函数使用不需要预加载
print(f"夹角检测模型路径: {self.settings.angle_model_path}")
except Exception as e:
print(f"检查夹角检测模型失败: {e}")
success = False
# 加载堆料检测模型
try:
if not os.path.exists(self.settings.overflow_model_path):
print(f"堆料检测模型不存在: {self.settings.overflow_model_path}")
success = False
else:
self.overflow_model = YOLO(self.settings.overflow_model_path)
print(f"成功加载堆料检测模型: {self.settings.overflow_model_path}")
except Exception as e:
print(f"加载堆料检测模型失败: {e}")
success = False
# 加载对齐检测模型
try:
if not os.path.exists(self.settings.alignment_model_path):
print(f"对齐检测模型不存在: {self.settings.alignment_model_path}")
success = False
else:
self.alignment_model = YOLO(self.settings.alignment_model_path)
print(f"成功加载对齐检测模型: {self.settings.alignment_model_path}")
except Exception as e:
print(f"加载对齐检测模型失败: {e}")
success = False
return success
def detect_angle(self, image=None, image_path=None):
"""
通过视觉系统获取当前出砼门角度
"""
return get_current_door_angle(
model=self.angle_model,
image=image,
image_path=image_path
)
def detect_overflow(self, image_array):
"""
通过图像检测是否溢料
"""
return detect_overflow_from_image(
image_array,
self.overflow_model,
self.settings.roi_file_path
)
def detect_vehicle_alignment(self, image_array):
"""
通过图像检测模具车是否对齐
"""
return detect_vehicle_alignment(image_array, self.alignment_model)