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update for promotion video setup

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This commit is contained in:
bluepulsar
2026-03-01 12:44:26 +08:00
parent aee2e86cda
commit ecf645dff0
2 changed files with 10 additions and 6 deletions
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promote_video.py
+8 -4
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@@ -55,17 +55,20 @@ def create_plot():
p1 = win.addPlot(title="N")
# p1.titleLabel.item.setFont(title_font)
p1.getAxis('left').setStyle(showValues=show_values)
p1.getAxis('bottom').setStyle(showValues=show_values)
p1.showGrid(x=True, y=True, alpha=0.3)
win.nextRow()
p2 = win.addPlot(title="X")
# p2.titleLabel.item.setFont(title_font)
p2.getAxis('left').setStyle(showValues=show_values)
p2.getAxis('bottom').setStyle(showValues=show_values)
p2.showGrid(x=True, y=True, alpha=0.3)
win.nextRow()
p3 = win.addPlot(title="Y")
# p3.titleLabel.item.setFont(title_font)
p3.getAxis('left').setStyle(showValues=show_values)
p3.setLabel('bottom', 'Time', units='s')
p3.getAxis('bottom').setStyle(showValues=show_values)
# p3.setLabel('bottom', 'Time', units='s')
# p3.getAxis('bottom').label.setFont(axis_font)
p3.showGrid(x=True, y=True, alpha=0.3)
plot_af = p1.plot(pen=line_pen, fillLevel=0, fillBrush=grad_brush)
@@ -133,7 +136,7 @@ def draw_magnitude_map(vfield, threshold=3.0, colormap=cv2.COLORMAP_JET) -> np.n
npoints = 400 # 图表数据长度
npoints = 100 # 图表数据长度
plot_threshold = 0 # only plot force values above this (below → 0)
pg.setConfigOption('background', bg_color_hex)
pg.setConfigOption('foreground', bg_color_hex)
@@ -167,7 +170,8 @@ def main():
frame_count = 0
writer = None
while True:
img = sensor1.get_img() # 提取并拼接复眼图像
sensor1.get_img() # 提取并拼接复眼图像
img = sensor1.img
if img is None:
break;
@@ -185,7 +189,7 @@ def main():
# 显示向量场
# Background color #24292E (BGR)
black_img = np.full_like(sensor1.img, bg_color)
arrows = orisys.util.draw_arrows(black_img, flow, threshold=1, grid_spacing=20, arrow_scale=0.5, colormap=cv2.COLORMAP_PARULA, below_threshold_color=text_color)
arrows = orisys.util.draw_arrows(black_img, flow, threshold=2, grid_spacing=20, arrow_scale=0.5, colormap=cv2.COLORMAP_PARULA, below_threshold_color=text_color)
cv2.imshow("Deformation", arrows)
# 显示深度图