exportRuntimeConfig 方法
- Sensor.exportRuntimeConfig(self, save_dir='.', binary=False)
将当前传感器的运行时配置导出到指定目录。
- Parameters:
save_dir (Union[str,Path],可选) – 配置文件保存目录,默认为当前目录。
binary (bool,可选) – 是否返回二进制加密数据而非保存到文件,默认为 False。
- Returns:
None
- Raises:
RuntimeError – 远程连接模式下导出配置失败时抛出。
- Note:
保存的文件名格式为 “runtime_<序列号>”。
示例方法
from pathlib import Path
SCRIPT_DIR = Path(__file__).resolve().parent
SAVE_DIR = Path(SCRIPT_DIR / "test_dir") # 存放目录
SAVE_DIR.mkdir(parents=True, exist_ok=True)
import cv2
import time
import numpy as np
from xensesdk import Sensor
sensor_id = 'OG000232'
def save_data():
fps = 30
duration = 3 # 秒
frame_interval = 1.0 / fps
total_frames = fps * duration
sensor_0 = Sensor.create(sensor_id)
for i in range(total_frames):
start_time = time.time()
# 采集一帧
rec = sensor_0.selectSensorInfo(Sensor.OutputType.Rectify)
# 生成文件名
filename = SAVE_DIR / f"{sensor_id}_{i:03d}.png"
# 保存图片
cv2.imwrite(str(filename), rec)
print(f"Saved {filename}")
# 控制帧率(30Hz)
elapsed = time.time() - start_time
sleep_time = frame_interval - elapsed
if sleep_time > 0:
time.sleep(sleep_time)
# 导出配置
sensor_0.exportRuntimeConfig(SAVE_DIR)
sensor_0.release()
def replay_data():
sensor_solver = Sensor.createSolver(SAVE_DIR / f"runtime_{sensor_id}")
for png_file in sorted(SAVE_DIR.glob("*.png")):
img = cv2.imread(str(png_file), cv2.IMREAD_UNCHANGED)
depth, force, diff = sensor_solver.selectSensorInfo(
Sensor.OutputType.Depth,
Sensor.OutputType.Force,
Sensor.OutputType.Difference,
rectify_image=img
)
depth_norm = cv2.normalize(depth, None, 0, 255, cv2.NORM_MINMAX)
depth_vis = np.uint8(depth_norm)
cv2.imwrite(SAVE_DIR / f"{png_file.stem}_depth.png", depth_vis)
sensor_solver.release()
if __name__ == '__main__':
save_data()
replay_data()
print("Data saved and replayed successfully.")