optical flow optimize done and cleaned

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="./config/prototype_of3.json", 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/prototype_of3.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")
 
@@ -57,7 +57,7 @@ def main():
         arrows = orisys.util.draw_arrows(
             img,
             flow,
-            threshold=5,
+            threshold=4,
             grid_spacing=10,
             arrow_scale=1.0
         )