added opencl backend

benchmark.py

@@ -1,18 +1,26 @@
 
 import os
+import sys
 os.environ["OPENCV_VIDEOIO_MSMF_ENABLE_HW_TRANSFORMS"] = "0" 
 import cv2
+
+# Ensure benchmark uses local workspace code, not site-packages installation.
+_local_src = os.path.join(os.path.dirname(__file__), "src")
+if _local_src not in sys.path:
+    sys.path.insert(0, _local_src)
+
 import orisys
 import numpy as np
 import time
 
 def main():
+    print(f"Using orisys module: {orisys.__file__}")
     # 步骤1：创建传感器对象 (必要步骤)，
     # config_name为配置文件名（内置配置文件名）或路径（自定义配置文件路径）
     # cal_path为校准文件路径, 每一个设备需要创建/使用一个校准文件
 
     # 方式1: 从视频文件读取
-    sensor = orisys.Sensor("s1.mp4", config_name="./config/prototype_of3.json", cal_path= "./config/dd01a_0.npy", isstitch=True, cuda=True, verbose=True)
+    sensor = orisys.Sensor("s1.mp4", config_name="./config/prototype_of3.json", cal_path= "./config/dd01a_0.npy", isstitch=True, cuda=False, verbose=True, poisson_backend='opencl')
 
     # 方式2: 从摄像头读取（取消注释使用） 
     # sensor = orisys.Sensor(0, config_name="./config/prototype_of3.json", cal_path= "./config/cal.npy", isstitch=True, cuda=True, verbose=True)