BodyBalanceEvaluation/backend/tests/testfemtobolt.py

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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import os
import time
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.colors import LinearSegmentedColormap
class FemtoBoltViewer:
def __init__(self, depth_min=900, depth_max=1300):
self.depth_min = depth_min
self.depth_max = depth_max
# 自定义colormap
colors = ['fuchsia', 'red', 'yellow', 'lime', 'cyan', 'blue',
'fuchsia', 'red', 'yellow', 'lime', 'cyan', 'blue']
self.cmap = LinearSegmentedColormap.from_list("custom_cmap", colors)
# SDK设备句柄
self.device_handle = None
self.pykinect = None
self.config = None
# 初始化matplotlib figure
plt.ion()
self.fig, self.ax = plt.subplots(figsize=(7, 7))
def _load_sdk(self):
"""加载FemtoBolt SDK"""
try:
import pykinect_azure as pykinect
self.pykinect = pykinect
# 配置DLL路径
base_dir = os.path.dirname(os.path.abspath(__file__))
dll_path = os.path.join(base_dir, "..", "dll", "femtobolt", "bin", "k4a.dll")
self.pykinect.initialize_libraries(track_body=False, module_k4a_path=dll_path)
return True
except Exception as e:
print(f"加载SDK失败: {e}")
return False
def _configure_device(self):
"""配置FemtoBolt设备"""
self.config = self.pykinect.default_configuration
self.config.depth_mode = self.pykinect.K4A_DEPTH_MODE_NFOV_UNBINNED
self.config.camera_fps = self.pykinect.K4A_FRAMES_PER_SECOND_15
self.config.synchronized_images_only = False
self.config.color_resolution = 0
self.device_handle = self.pykinect.start_device(config=self.config)
def _render_depth(self, depth_image: np.ndarray):
"""使用matplotlib绘制深度图带背景和自定义colormap"""
# 过滤深度范围
depth = np.where((depth_image >= self.depth_min) & (depth_image <= self.depth_max),
depth_image, 0)
# 屏蔽深度为0的部分
depth = np.ma.masked_equal(depth, 0)
# 背景图(灰色)
background = np.ones_like(depth) * 0.5
self.ax.clear()
# 绘制背景
self.ax.imshow(background, origin='lower', cmap='gray', alpha=0.3)
# 绘制白色栅格线
self.ax.grid(True, which='both', axis='both', color='white', linestyle='-', linewidth=1, zorder=0)
# 绘制深度等高线
self.ax.contourf(depth, levels=200, cmap=self.cmap, vmin=self.depth_min, vmax=self.depth_max, origin='upper', zorder=2)
plt.pause(0.001)
plt.draw()
def run(self):
if not self._load_sdk():
print("SDK加载失败退出")
return
self._configure_device()
print("FemtoBolt深度相机启动成功按 Ctrl+C 退出")
try:
while True:
capture = self.device_handle.update()
if capture is None:
continue
ret, depth_image = capture.get_depth_image()
if not ret or depth_image is None:
continue
self._render_depth(depth_image)
except KeyboardInterrupt:
print("退出程序")
finally:
self.device_handle.stop()
self.device_handle.close()
plt.close(self.fig)
if __name__ == "__main__":
viewer = FemtoBoltViewer(depth_min=900, depth_max=1300)
viewer.run()