来自 | 机器之心 编辑 | 魔王、陈萍
本文介绍了微软开源的计算机视觉库，它囊括了计算机视觉领域的最佳实践、代码示例和丰富文档。
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Jupyter notebooks 地址：https://github.com/microsoft/computervision-recipes/blob/master/scenarios
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工具函数地址：https://github.com/microsoft/computervision-recipes/blob/master/utils_cv
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对于高密度人群图像，MCNN 模型取得了良好的效果；
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对于低密度场景，OpenPose 表现良好。
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而当人群密度未知时，该项目采用启发式方法。在满足以下条件时使用 MCNN 进行预测：OpenPose 预测大于 20，MCNN 大于 50。反之，则使用 OpenPose 预测。模型的阈值可以根据使用者的场景进行更改。
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