createSolver Method

classmethod SensorSolver.createSolver(runtime_path)

A factory method (class method) used to create a SensorSolver instance from a given runtime configuration path.

Parameters:

runtime_path (Union [str, Path]) –

• Path pointing to the runtime configuration file

Returns:

Returns a SensorSolver instance on success, and False on failure.

Return type:

SensorSolver | bool

Raises:

• AssertionError – Triggered when the decrypted data format is incorrect or the necessary “ConfigManager” key is missing.

• Exception – Triggered when an error occurs during file reading or decryption (specific error information will be captured and printed).

Example Method

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")):
        if not png_file.name.endswith("_depth.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_vis = np.clip(depth*200, 0, 255)
            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.")