no stereo

example1_basic_pipeline.py

@@ -19,10 +19,10 @@ 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", isstitch=True, cuda=True, verbose=True,config_name="prototype")
+    sensor = orisys.Sensor("./stereo2.mp4", isstitch=True, cuda=True, verbose=True,config_name="prototype")
     
     # 方式2: 从摄像头读取（取消注释使用） 
-    sensor = orisys.Sensor(0, cuda=True, verbose=True, config_name="prototype")
+    # sensor = orisys.Sensor(0, cuda=True, verbose=True, config_name="prototype")
     sensor.export_config(path="./config/exported_config.json") # 导出配置文件供查看和修改
 
     print("\n按 'q' 退出程序，按 'r' 重置光流追踪器")

src/orisys/sensor.py

@@ -168,8 +168,8 @@ class Sensor:
         
         # Convert to grayscale
         if log_timing: t0 = time.perf_counter()
-        # gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
-        gray = frame
+        gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
+        # gray = frame
         if log_timing: timings['cvt_color'] = (time.perf_counter() - t0) * 1000
 
         # Extract and stitch tiles

streo.py

@@ -3,7 +3,7 @@ import cv2
 from matplotlib import pyplot as plt
 import orisys
 
-sensor = orisys.Sensor(vid_src='stereo_1.mp4',config_name='./config/stereo.json',mirror=False)
+sensor = orisys.Sensor(vid_src='stereo2.mp4',config_name='./config/stereo.json',mirror=False)
 print(sensor.boxes)
 sensor.get_img()
 tiles = sensor.stitcher.tile_list