yolov5 灰度图像增强
时间: 2023-09-02 19:06:45 浏览: 65
在yolov5中,灰度图像增强是通过将图像从RGB空间转换为灰度空间来实现的。这个过程可以使用albumentations库中的ToGray函数来完成。转换后的灰度图像可以增加模型对图像细节的感知能力,并提升模型的泛化能力。同时,yolov5还实现了自己的HSV增强方法,通过调整H(色相),S(饱和度)和V(亮度)三个通道的值来模拟不同场景和光照条件,以进一步提高模型的性能。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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