ykcheungab
96 lines
3.2 KiB
Python
96 lines
3.2 KiB
Python
"""
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示例 3：实时曲线与幅值图显示
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本示例演示如何在读取传感器结果的同时：
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1. 显示形变矢量场
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2. 显示流场幅值热力图
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3. 使用 PyQtGraph 实时绘制法向力与切向力曲线
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4. 按键控制录像开始与结束
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"""
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import argparse
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import os
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import sys
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import time
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from pathlib import Path
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os.environ["OPENCV_VIDEOIO_MSMF_ENABLE_HW_TRANSFORMS"] = "0"
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import cv2
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import orisys
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_EXAMPLES_DIR = Path(__file__).resolve().parent
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if str(_EXAMPLES_DIR) not in sys.path:
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sys.path.insert(0, str(_EXAMPLES_DIR))
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from viz import ForceChartWindow, FrameRecorder, draw_magnitude_map, lowpass_filter
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def open_sensor(video: str, config: str, cal: str, verbose: bool):
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try:
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source = int(video)
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except ValueError:
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source = video
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return orisys.Sensor(source, config_name=config, cal_path=cal, verbose=verbose)
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def main():
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parser = argparse.ArgumentParser()
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parser.add_argument("--video", "-v", type=str, default="0", help="视频源：摄像头编号或视频文件路径")
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parser.add_argument("--config", "-c", type=str, default="./config/ddjx01.json", help="配置文件名称或路径")
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parser.add_argument("--cal", "-cal", type=str, default="./config/ddjx01.npy", help="标定文件路径")
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parser.add_argument("--verbose", "-verbose", type=bool, default=True, help="是否输出详细日志")
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args = parser.parse_args()
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charts = ForceChartWindow()
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recorder = FrameRecorder()
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sensor = open_sensor(args.video, args.config, args.cal, args.verbose)
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start_time = time.time()
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print("\n按键说明：'q' 退出程序，'s' 开始录像，'e' 结束录像。")
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try:
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while True:
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sensor.get_img()
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recorder.write_if_recording(sensor.frame)
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sensor.compute_deformation(check_motion=True, threshold=0)
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fps, fn, fx, fy, flow, vnormal, vshear = sensor.read_info(
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sensor.info.FPS,
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sensor.info.FNORMAL,
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sensor.info.FSHEARX,
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sensor.info.FSHEARY,
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sensor.info.VRAW,
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sensor.info.VNORMAL,
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sensor.info.VSHEAR,
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)
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print(f"FPS={fps:.2f}, 法向力={fn:.4f}, 切向力X={fx:.4f}, 切向力Y={fy:.4f}")
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arrows = orisys.util.draw_arrows(sensor.img, flow, threshold=5, grid_spacing=10, arrow_scale=1.0)
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cv2.imshow("形变矢量场", arrows)
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cv2.imshow("流场幅值图", draw_magnitude_map(flow))
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charts.push(time.time() - start_time, fn, fx, fy)
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display = charts.data.copy()
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for channel in range(3):
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display[:, 1, channel] = lowpass_filter(
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charts.data[:, 1, channel],
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cutoff_hz=5,
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sample_rate_hz=30,
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)
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charts.refresh(display)
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key = cv2.waitKey(1)
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if key & 0xFF == ord("q"):
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print("\n正在退出示例程序...")
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break
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if key == ord("s"):
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recorder.start(sensor.frame)
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if key == ord("e"):
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recorder.stop()
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finally:
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sensor.disconnect()
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if __name__ == "__main__":
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main()
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