json works

example1_basic.py

@@ -10,6 +10,7 @@ def main():
     
     # 打开视频
     sensor1 = Sensor("./s1.mp4",isstitch=True,cuda = True,verbose = True)
+
     # 打开摄像头
     # sensor1 = Sensor(0,isstitch=True,cuda = True,verbose = True)
     while True:

example2_config.py

@@ -0,0 +1,46 @@
+import os
+os.environ["OPENCV_VIDEOIO_MSMF_ENABLE_HW_TRANSFORMS"] = "0"
+import cv2
+from orisys import Sensor
+import numpy as np
+
+
+def main():
+    global start_time
+    
+    # 打开视频
+    sensor1 = Sensor("./s1.mp4",isstitch=True,cuda = True,verbose = True)
+    config = sensor1.get_config()
+    print(config)
+
+    # 打开摄像头
+    # sensor1 = Sensor(0,isstitch=True,cuda = True,verbose = True)
+    while True:
+        sensor1.get_img() # 提取并拼接复眼图像
+        sensor1.compute_deformation() # 计算形变和分解
+        # 提取信息：
+        # 向量场: VRAW, VNORMAL, VSHEAR: 原始，法向，切向 
+        # 帧率，时间戳: FPS, TIMESTAMP
+        # 变形量总和: FNORMAL , FSHEARX, FSHEARY : 法向，切向（X)，切向（Y)
+        # 深度图: DEPTH
+        fps, fn, fx, fy, flow, depth = sensor1.read_info(sensor1.info.FPS, sensor1.info.FNORMAL, sensor1.info.FSHEARX, sensor1.info.FSHEARY, sensor1.info.VRAW, sensor1.info.DEPTH)
+        print(fps,fn,fx,fy)
+        # 显示向量场
+        arrows  = sensor1.draw_arrows(sensor1.info.VRAW, threshold=5, grid_spacing=40, arrow_scale=1.0) 
+        cv2.imshow("Deformation", arrows)
+
+        depth_img = cv2.applyColorMap((depth*1* 255.0).astype('uint8'), cv2.COLORMAP_HOT)
+
+        cv2.imshow('depth', depth_img)
+
+        key = cv2.waitKey(1)
+        if key & 0xFF == ord("q"):
+            print("\n 停止程序")
+            break
+    
+    sensor1.disconnect() # 断开传感器连接
+    
+
+
+if __name__ == '__main__':
+    main()

setup.py

@@ -1,4 +1,11 @@
 from setuptools import setup, find_packages
+from pathlib import Path
+
+# Find all JSON files in the configs directory
+configs_dir = Path("src/orisys/configs")
+json_files = []
+if configs_dir.exists():
+    json_files = [str(p.relative_to("src")) for p in configs_dir.glob("*.json")]
 
 setup(
     name="orisys",
@@ -7,6 +14,10 @@ setup(
     author="Your Name",
     package_dir={"": "src"},
     packages=find_packages(where="src"),
+    package_data={
+        "orisys": ["configs/*.json"],
+    },
+    include_package_data=True,
     install_requires=[
         "numpy",
         "opencv-python",

src/orisys/configs/__init__.py

@@ -4,11 +4,44 @@ from pathlib import Path
 CONFIG_DIR = Path(__file__).parent
 
 def load_config(config_name: str):
+    """
+    Load sensor configuration from JSON file.
+    
+    Args:
+        config_name: Name of the config file (without .json extension)
+    
+    Returns:
+        Dictionary containing the configuration
+    
+    Raises:
+        FileNotFoundError: If the config file doesn't exist
+    """
     config_path = CONFIG_DIR / f"{config_name}.json"
+    
+    if not config_path.exists():
+        # List available configs for better error message
+        available = [f.stem for f in CONFIG_DIR.glob("*.json")]
+        available_str = ", ".join(available) if available else "none"
+        raise FileNotFoundError(
+            f"Config file not found: {config_path}\n"
+            f"Available configs: {available_str}"
+        )
+    
     with open(config_path, 'r') as f:
         return json.load(f)
     
 def save_config(config: dict, config_name: str):
+    """
+    Save sensor configuration to JSON file.
+    
+    Args:
+        config: Dictionary containing the configuration
+        config_name: Name of the config file (without .json extension)
+    
+    Returns:
+        Path to the saved config file
+    """
     config_path = CONFIG_DIR / f"{config_name}.json"
     with open(config_path, 'w') as f:
         json.dump(config, f, indent=4)
+    return config_path

src/orisys/configs/prototype.json

@@ -5,7 +5,9 @@
       "resolution_raw": [1920, 1080],
       "fps": 60,
       "units": 15,
-      "resolution_stitch": [400, 400]
+      "resolution_stitch": [400, 400],
+      "index": [1,2,3,6,7,8,11,12,13],
+      "pos_default": [[260, 56], [577, 62], [897, 69], [1214, 75], [1530, 81], [256, 391], [570, 397], [889, 403], [1208, 409], [1523, 416], [248, 724], [563, 730], [882, 738], [1201, 743], [1516, 751]]
     },
     "elastomer": {
       "thickness_mm": 3.0,
@@ -16,7 +18,6 @@
       "width_mm": 10,
       "height_mm": 10,
       "depth_mm": 10
-  
     }
 }
 

src/orisys/sensor.py

@@ -13,13 +13,14 @@ from scipy.interpolate import griddata
 from enum import Enum, auto
 from typing import Optional, Tuple, Union, Any
 from .getDensity import getFilteredDensity
+from . import configs
 
 class Sensor:
     """
     Sensor helper that can decompose optical flow via Fourier methods.
     Stores the decomposed components and global norms as attributes after compute().
     """
-    def __init__(self, vid_src, isstitch=False, verbose=True, cuda=True):
+    def __init__(self, vid_src, isstitch=False, verbose=True, cuda=True, config_name="prototype"):
         """
         Initialize Sensor with video source and configuration.
         
@@ -110,6 +111,8 @@ class Sensor:
         FSHEARY = auto()
         DEPTH = auto()
 
+    def get_config(self):
+        return configs.load_config("prototype")
 
     def get_img(self):
         """