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基于FPGA的deep_wise深度可分离卷积实现方案
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该项目使用了多种优化，在Ultra96v2这样一块极小的开发板上实现了深度可分离卷积，可以对640*360的图像做目标检测，检测种类可达十四种，在图像复杂，干扰性极大的大疆52500检测图像组之中，正确率可达70%以上，同时功耗不超过5W，可以适用于无人机拍摄、高速路边监控、人员设备搜索等等一系列场景之中，同时，由于设备使用资源极少，板子占地面积极小，可以被广泛应用于需要图像识别的各种物联网设备之中。 相比于其他的图像识别模型，我们对整个模型做了从软件到硬件全方位的优化，相同情况下各性能指标均极佳

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