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fix pplnn results for mmseg (#31)

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AllentDan 2021-12-30 17:52:48 +08:00 committed by GitHub
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2 changed files with 16 additions and 16 deletions
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16
docs/en/benchmark.md
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@ -1230,7 +1230,7 @@ Users can directly test the performance through [how_to_evaluate_a_model.md](tut
<td align="center">72.36</td>
<td align="center">72.35</td>
<td align="center">74.19</td>
<td align="center">-</td>
<td align="center">72.35</td>
<td>$MMSEG_DIR/configs/fcn/fcn_r50-d8_512x1024_40k_cityscapes.py</td>
</tr>
<tr>
@ -1242,7 +1242,7 @@ Users can directly test the performance through [how_to_evaluate_a_model.md](tut
<td align="center">78.26</td>
<td align="center">78.24</td>
<td align="center">77.97</td>
<td align="center">-</td>
<td align="center">78.09</td>
<td>$MMSEG_DIR/configs/pspnet/pspnet_r50-d8_512x1024_80k_cityscapes.py</td>
</tr>
<tr>
@ -1254,7 +1254,7 @@ Users can directly test the performance through [how_to_evaluate_a_model.md](tut
<td align="center">79.12</td>
<td align="center">79.12</td>
<td align="center">78.96</td>
<td align="center">-</td>
<td align="center">79.12</td>
<td>$MMSEG_DIR/configs/deeplabv3/deeplabv3_r50-d8_512x1024_40k_cityscapes.py</td>
</tr>
<tr>
@ -1263,10 +1263,10 @@ Users can directly test the performance through [how_to_evaluate_a_model.md](tut
<td align="center">mIoU</td>
<td align="center">79.61</td>
<td align="center">-</td>
<td align="center">79.6</td>
<td align="center">79.6</td>
<td align="center">79.60</td>
<td align="center">79.60</td>
<td align="center">79.43</td>
<td align="center">-</td>
<td align="center">79.60</td>
<td>$MMSEG_DIR/configs/deeplabv3plus/deeplabv3plus_r50-d8_512x1024_40k_cityscapes.py</td>
</tr>
<tr>
@ -1277,8 +1277,8 @@ Users can directly test the performance through [how_to_evaluate_a_model.md](tut
<td align="center">-</td>
<td align="center">70.93</td>
<td align="center">70.92</td>
<td align="center">66.0</td>
<td align="center">-</td>
<td align="center">66.00</td>
<td align="center">70.92</td>
<td>$MMSEG_DIR/configs/fastscnn/fast_scnn_lr0.12_8x4_160k_cityscapes.py</td>
</tr>
</tbody>

16
docs/zh_cn/benchmark.md
View File

@ -1230,7 +1230,7 @@ GPU: TensorRT, PPLNN
<td align="center">72.36</td>
<td align="center">72.35</td>
<td align="center">74.19</td>
<td align="center">-</td>
<td align="center">72.35</td>
<td>$MMSEG_DIR/configs/fcn/fcn_r50-d8_512x1024_40k_cityscapes.py</td>
</tr>
<tr>
@ -1242,7 +1242,7 @@ GPU: TensorRT, PPLNN
<td align="center">78.26</td>
<td align="center">78.24</td>
<td align="center">77.97</td>
<td align="center">-</td>
<td align="center">78.09</td>
<td>$MMSEG_DIR/configs/pspnet/pspnet_r50-d8_512x1024_80k_cityscapes.py</td>
</tr>
<tr>
@ -1254,7 +1254,7 @@ GPU: TensorRT, PPLNN
<td align="center">79.12</td>
<td align="center">79.12</td>
<td align="center">78.96</td>
<td align="center">-</td>
<td align="center">79.12</td>
<td>$MMSEG_DIR/configs/deeplabv3/deeplabv3_r50-d8_512x1024_40k_cityscapes.py</td>
</tr>
<tr>
@ -1263,10 +1263,10 @@ GPU: TensorRT, PPLNN
<td align="center">mIoU</td>
<td align="center">79.61</td>
<td align="center">-</td>
<td align="center">79.6</td>
<td align="center">79.6</td>
<td align="center">79.60</td>
<td align="center">79.60</td>
<td align="center">79.43</td>
<td align="center">-</td>
<td align="center">79.60</td>
<td>$MMSEG_DIR/configs/deeplabv3plus/deeplabv3plus_r50-d8_512x1024_40k_cityscapes.py</td>
</tr>
<tr>
@ -1277,8 +1277,8 @@ GPU: TensorRT, PPLNN
<td align="center">-</td>
<td align="center">70.93</td>
<td align="center">70.92</td>
<td align="center">66.0</td>
<td align="center">-</td>
<td align="center">66.00</td>
<td align="center">70.92</td>
<td>$MMSEG_DIR/configs/fastscnn/fast_scnn_lr0.12_8x4_160k_cityscapes.py</td>
</tr>
</tbody>