improve gpu computation in HHD computation

example1_basic_pipeline.py

@@ -19,11 +19,11 @@ def main():
     
     # 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）
     # 方式1: 从视频文件读取
-    # sensor = orisys.Sensor("s1.mp4", config_name="prototype", cal_path= "./config/cal.npy", isstitch=True, cuda=True, verbose=True)
+    sensor = orisys.Sensor("s1.mp4", config_name="prototype", cal_path= "./config/cal.npy", isstitch=True, cuda=True, verbose=True)
 
     
     # 方式2: 从摄像头读取（取消注释使用） 
-    sensor = orisys.Sensor(0, config_name="./config/lens_test.json", cal_path= "./config/cal.npy", isstitch=True, cuda=True, verbose=True)
+    # sensor = orisys.Sensor(0, config_name="./config/lens_test.json", cal_path= "./config/cal.npy", isstitch=True, cuda=True, verbose=True)
 
     print("\n按 'q' 退出程序，按 'r' 重置光流追踪器")
 
@@ -33,12 +33,12 @@ def main():
         # 步骤 2.1: 获取并拼接图像 (必要步骤)
         sensor.get_img() 
         print("img_size_raw:", sensor.img_size_raw)
-        if sensor.detect_motion(threshold=2):
-            print("motion detected")
-            # 步骤 2.2: 计算形变场 (必要步骤)
-            sensor.compute_deformation()
-            # 步骤 2.3: 计算触碰点 
-            sensor.compute_contact()
+        # if sensor.detect_motion(threshold=2):
+        #     print("motion detected")
+        # 步骤 2.2: 计算形变场 (必要步骤)
+        sensor.compute_deformation()
+        # 步骤 2.3: 计算触碰点 
+        sensor.compute_contact()
 
     
         #步骤 2.4: 读取信息