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mask_rcnn_keypoints's Issues

您好,我已使用1个服装类训练好了模型,运行demo_detect.ipynb脚本查看训练效果时,detections却显示N>1个实例结果,请问会是哪里出现了问题呢?

[[[4.25662994e-02 1.70000000e+02 7.13350117e-01 1.70000000e+02
1.00000000e+00 9.91867006e-01]
[3.30203772e-03 1.70000000e+02 8.16060245e-01 1.70000000e+02
1.00000000e+00 9.89467800e-01]
[6.64100647e-02 1.70000000e+02 7.56213665e-01 1.70000000e+02
1.00000000e+00 9.85076249e-01]
[5.11958003e-02 1.70000000e+02 7.85606384e-01 1.70000000e+02
1.00000000e+00 9.81133044e-01]
[7.27798343e-02 1.70000000e+02 6.37804091e-01 1.70000000e+02
1.00000000e+00 9.79126990e-01]
[0.00000000e+00 1.70000000e+02 8.19039464e-01 1.70000000e+02
1.00000000e+00 9.79049325e-01]
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1.00000000e+00 9.76869524e-01]
[1.07032627e-01 1.70000000e+02 7.77483582e-01 1.70000000e+02
1.00000000e+00 9.76482093e-01]
[8.90105665e-02 1.70000000e+02 6.23850226e-01 1.70000000e+02
1.00000000e+00 9.74576175e-01]
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1.00000000e+00 9.72842753e-01]
[0.00000000e+00 1.70000000e+02 8.64177525e-01 1.70000000e+02
1.00000000e+00 9.72585380e-01]
[7.85277486e-02 1.70000000e+02 8.41955245e-01 1.70000000e+02
1.00000000e+00 9.69959676e-01]
[7.26488829e-02 1.70000000e+02 8.09916496e-01 1.70000000e+02
1.00000000e+00 9.69448745e-01]
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1.00000000e+00 9.69397783e-01]
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1.00000000e+00 9.68068659e-01]
[1.44336596e-01 1.70000000e+02 6.35651827e-01 1.70000000e+02
1.00000000e+00 9.59369481e-01]
[3.35816741e-02 1.70000000e+02 8.04694831e-01 1.70000000e+02
1.00000000e+00 9.57619965e-01]
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1.00000000e+00 9.55162108e-01]
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1.00000000e+00 9.54922557e-01]
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1.00000000e+00 9.54196095e-01]
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1.00000000e+00 9.51709569e-01]
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1.00000000e+00 9.49731588e-01]
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1.00000000e+00 9.45989370e-01]
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1.00000000e+00 9.44354534e-01]
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1.00000000e+00 9.42657351e-01]
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1.00000000e+00 9.41745162e-01]
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1.00000000e+00 9.38550413e-01]
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1.00000000e+00 9.38170433e-01]
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1.00000000e+00 9.35723960e-01]
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1.00000000e+00 9.34601486e-01]
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1.00000000e+00 9.32018459e-01]
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1.00000000e+00 9.31587577e-01]
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1.00000000e+00 9.00754452e-01]
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1.00000000e+00 9.00615275e-01]
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1.00000000e+00 8.99960935e-01]
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1.00000000e+00 8.96768153e-01]
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1.00000000e+00 8.95043790e-01]
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1.00000000e+00 8.94312859e-01]
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1.00000000e+00 8.92976820e-01]
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1.00000000e+00 8.85869563e-01]
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1.00000000e+00 8.84744465e-01]
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1.00000000e+00 8.83312881e-01]
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1.00000000e+00 8.83202076e-01]
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1.00000000e+00 8.82957578e-01]
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1.00000000e+00 8.17419052e-01]
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1.00000000e+00 8.15800905e-01]
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1.00000000e+00 8.13550532e-01]
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1.00000000e+00 8.12513292e-01]
[3.48516613e-01 1.70000000e+02 9.05591726e-01 1.70000000e+02
1.00000000e+00 8.08090568e-01]
[1.08621031e-01 1.70000000e+02 5.89192033e-01 1.70000000e+02
1.00000000e+00 8.03775489e-01]
[1.04770765e-01 1.70000000e+02 4.27024066e-01 1.70000000e+02
1.00000000e+00 8.00240040e-01]
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1.00000000e+00 7.96526074e-01]
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1.00000000e+00 7.83412933e-01]
[1.59009308e-01 1.70000000e+02 4.58558708e-01 1.70000000e+02
1.00000000e+00 7.72169471e-01]
[9.69279855e-02 1.70000000e+02 4.14826453e-01 1.70000000e+02
1.00000000e+00 7.36888528e-01]
[9.41606164e-02 1.70000000e+02 5.42486250e-01 1.70000000e+02
1.00000000e+00 7.35704958e-01]
[1.19749263e-01 1.70000000e+02 4.83192563e-01 1.70000000e+02
1.00000000e+00 7.33437300e-01]
[1.34951457e-01 1.70000000e+02 5.17964125e-01 1.70000000e+02
1.00000000e+00 7.32905149e-01]
[0.00000000e+00 1.70000000e+02 9.54772532e-01 1.70000000e+02
1.00000000e+00 7.25317955e-01]
[2.65806049e-01 1.70000000e+02 9.20489073e-01 1.70000000e+02
1.00000000e+00 7.22334146e-01]
[1.56688362e-01 1.70000000e+02 6.60517335e-01 1.70000000e+02
1.00000000e+00 7.08233118e-01]]]

预测多目标?

你好,我想问一下这个模型可以检测出同一张图片里的多个目标吗,因为mask-RCNN理论上是可以测出多目标的

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