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MicroMV 统计信息 - 版本历史
2026-05-05T11:12:00Z
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2018年12月7日 (五) 03:19 502748957@qq.com
2018-12-07T03:19:54Z
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<td colspan="2" style="background-color: white; color:black; text-align: center;">←上一版本</td>
<td colspan="2" style="background-color: white; color:black; text-align: center;">2018年12月7日 (五) 03:19的版本</td>
</tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l54" >第54行：</td>
<td colspan="2" class="diff-lineno">第54行：</td></tr>
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2017年10月27日 (五) 11:05 1196357542@qq.com
2017-10-27T11:05:19Z
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<td colspan="2" style="background-color: white; color:black; text-align: center;">←上一版本</td>
<td colspan="2" style="background-color: white; color:black; text-align: center;">2017年10月27日 (五) 11:05的版本</td>
</tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l31" >第31行：</td>
<td colspan="2" class="diff-lineno">第31行：</td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>示例：</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>示例：</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>::<source lang="py"></div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>::<source lang="py"></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">import sensor, image, time</ins></div></td></tr>
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<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">sensor.reset() # 初始化摄像头</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">sensor.set_pixformat(sensor.RGB565) # 格式为 RGB565.</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">sensor.set_framesize(sensor.QVGA)</ins></div></td></tr>
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<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">sensor.set_auto_whitebal(False)      </ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"></ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">ROI=(120,100,20,20)  #设置感兴趣区域</ins></div></td></tr>
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<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">while(True):</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">    img = sensor.snapshot()    #获取图像</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">    statistics=img.get_statistics(roi=ROI) #获取感兴趣区域的统计信息</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">    color_l=statistics.l_mode() #取感兴趣区域内的LAB的L通道的众数</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">    color_a=statistics.a_mode() #取感兴趣区域内的LAB的A通道的众数</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">    color_b=statistics.b_mode() #取感兴趣区域内的LAB的B通道的众数</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">    print(color_l,color_a,color_b)#将获取到的值打印出来</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">    img.draw_rectangle(ROI)      #在感兴趣区域上画边框</ins></div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div></source></div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div></source></div></td></tr>
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<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"></ins></div></td></tr>
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1196357542@qq.com：创建页面，内容为“<p style="font-size:180%">'''图像的统计信息'''</p> 如果想知道一个区域内的平均颜色或者占面积最大的颜色，可以使用统计信息 *<p…”
2017-10-27T10:29:30Z
<p>创建页面，内容为“<p style="font-size:180%">'''图像的统计信息'''</p> 如果想知道一个区域内的平均颜色或者占面积最大的颜色，可以使用统计信息 *<p…”</p>
<p><b>新页面</b></p><div><p style="font-size:180%">'''图像的统计信息'''</p><br />
如果想知道一个区域内的平均颜色或者占面积最大的颜色，可以使用统计信息<br />
<br />
*<p style="font-size:140%">'''统计信息Statistics'''</p><br />
**'''image.get_statistics(roi=Auto)''' <br />
::其中roi是目标区域。注意，这里的'roi='必须要标明出来，roi参数的格式是(x, y, w, h)的tupple.<br />
:::x:ROI区域中左上角的x坐标<br />
:::y:ROI区域中左上角的y坐标<br />
:::w:ROI的宽度<br />
:::h:ROI的高度<br />
::例如：img.get_statistics(roi=(0,0,10,20))<br />
<br />
<br />
:获取灰度的参数值<br />
:*statistics.mean() 返回灰度的平均数(0-255) (int)。你也可以通过statistics[0]获得。<br />
:*statistics.median() 返回灰度的中位数(0-255) (int)。你也可以通过statistics[1]获得。<br />
:*statistics.mode() 返回灰度的众数(0-255) (int)。你也可以通过statistics[2]获得。<br />
:*statistics.stdev() 返回灰度的标准差(0-255) (int)。你也可以通过statistics[3]获得。<br />
:*statistics.min() 返回灰度的最小值(0-255) (int)。你也可以通过statistics[4]获得。<br />
:*statistics.max() 返回灰度的最大值(0-255) (int)。你也可以通过statistics[5]获得。<br />
:*statistics.lq() 返回灰度的第一四分数(0-255) (int)。你也可以通过statistics[6]获得。<br />
:*statistics.uq() 返回灰度的第三四分数(0-255) (int)。你也可以通过statistics[7]获得。<br />
<br />
<br />
:获取LAB三个通道的平均数，中位数，众数，标准差，最小值，最大值，第一四分数，第三四分数如下：<br />
:*l_mean，l_median，l_mode，l_stdev，l_min，l_max，l_lq，l_uq，<br />
:*a_mean，a_median，a_mode，a_stdev，a_min，a_max，a_lq，a_uq，<br />
:*b_mean，b_median，b_mode，b_stdev，b_min，b_max，b_lq，b_uq，<br />
<br />
<br />
示例：<br />
::<source lang="py"><br />
<br />
</source><br />
<br />
<br />
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