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嵌入式目标检测 这个项目从工程和硬件综合优化的方法来实现移动端高速检测,我声明一下这个模型是我改过一个原模型,目前速度和准确率还存在小问题。 希望能与大家交流解决这个问题实现95FPS目标 模型最大的优点在速度相对优势的情况下 体积是普通模型的100/1分之一 CPU的单机PC上测300ms,1200*960尺寸图片。其他相关参数我会补全,最近比较忙大家先自己测测。这个目标的准确率和速度可以更好,我会在第二版为大家讲细节。 先开源出来解决大家面临模型很大在ARMLinux上的问题。 如果你对谷歌的目标检测API使用不熟悉请严格按照我的教程,否则问题很多。 刚需条件:tensorflow=1.10.0 cuda =8/9都可以。
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