Merge branch 'remote' of 192.168.192.162:D:\Users\ykcheungab.MEE1965\Documents\python\orisyssdk_git into remote
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@@ -19,10 +19,10 @@ def main():
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# 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)
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# 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)
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# 方式1: 从视频文件读取
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# 方式1: 从视频文件读取
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# sensor = orisys.Sensor("./s1.mp4", isstitch=True, cuda=True, verbose=True,config_name="prototype")
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sensor = orisys.Sensor("./stereo2.mp4", isstitch=True, cuda=True, verbose=True,config_name="prototype")
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# 方式2: 从摄像头读取(取消注释使用)
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# 方式2: 从摄像头读取(取消注释使用)
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sensor = orisys.Sensor(0, cuda=True, verbose=True, config_name="prototype")
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# sensor = orisys.Sensor(0, cuda=True, verbose=True, config_name="prototype")
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sensor.export_config(path="./config/exported_config.json") # 导出配置文件供查看和修改
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sensor.export_config(path="./config/exported_config.json") # 导出配置文件供查看和修改
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print("\n按 'q' 退出程序,按 'r' 重置光流追踪器")
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print("\n按 'q' 退出程序,按 'r' 重置光流追踪器")
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@@ -168,8 +168,8 @@ class Sensor:
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# Convert to grayscale
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# Convert to grayscale
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if log_timing: t0 = time.perf_counter()
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if log_timing: t0 = time.perf_counter()
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# gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
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gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
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gray = frame
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# gray = frame
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if log_timing: timings['cvt_color'] = (time.perf_counter() - t0) * 1000
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if log_timing: timings['cvt_color'] = (time.perf_counter() - t0) * 1000
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# Extract and stitch tiles
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# Extract and stitch tiles
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@@ -3,7 +3,7 @@ import cv2
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from matplotlib import pyplot as plt
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from matplotlib import pyplot as plt
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import orisys
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import orisys
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sensor = orisys.Sensor(vid_src='stereo_1.mp4',config_name='./config/stereo.json',mirror=False)
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sensor = orisys.Sensor(vid_src='stereo2.mp4',config_name='./config/stereo.json',mirror=False)
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print(sensor.boxes)
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print(sensor.boxes)
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sensor.get_img()
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sensor.get_img()
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tiles = sensor.stitcher.tile_list
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tiles = sensor.stitcher.tile_list
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