Faster RCNN implementation over a custom classification CNN
显示 更早的评论
Hello, I have some basic problem with implementing faster RCNN. I have a custom made binary classification CNN for trees, this network is trained with images of only one tree/no tree.(all my training images has only single tree image or no tree at all) How can I use this network for tree detection from bigger images using faster RCNN. In other words, how can I implement faster RCNN over my trained classification net?? is it possible ?? or do I need to make the faster RCNN from scratch and this classification net is of no use to me??
Thanks
回答(0 个)
类别
在 帮助中心 和 File Exchange 中查找有关 Object Detection 的更多信息
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!