fire-detection-cnn:使用卷积神经网络(深度学习)对视频图像进行实时火灾检测-来自我们的ICIP 2018论文(Dunnings Breckon)+ ICMLA 2019论文(Samarth Bhowmik Breckon)-源码

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用于非时间实时火灾检测的实验定义的卷积神经网络体系结构变体 [及后续工作:用于非时间实时火灾检测的紧凑型卷积神经网络体系结构的实验探索] 使用Python 3.7.x, , 和(需要opencv额外模块-用于超像素分割的ximgproc模块) 架构: FireNet体系结构(以上) InceptionV1-OnFire架构(以上) InceptionV3-OnFire架构(以上) InceptionV4-OnFire架构(以上) 抽象: “在这项工作中,我们研究了在实时范围内自动检测视频(或静态)图像中火灾像素区域的方法,而无需依赖于时域场景信息。作为对该领域先前工作的扩展,我们考虑了

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