正在尝试将经过Tensorflow训练的模型加载到Deeplearning4J中,出现以下错误: IllegalStateException: Invalid array shape: cannotplaceholder of shape [-1, -1, -1, 3]:shape is wrong rank or does not match on one or more dimensions var arr: INDArray-1, -1, 3);sd.associ
我有一个tensorflow模型,并转换为tensorrt模型。Tensorflow模型的uff转换如下所示。输入是图像,输出是Openpose/concat_stage7 NOTE: UFF has been tested with TensorFlow 1.12.0.Openpose/concat_stage7No. nodes: 463
UFF Output written to cmu
我有预先培训过的模型centernet_32 104_512x512_kpt_ and 17_tpu-32,创建了.record文件并使用键点数据集进行了注释。TypeError: Expected int32, but got None of type 'NoneType
在pipeline.config中,我有指向标签映射文件和.record文件的路径我训练过盒子模型,没有任何问题,但是有了关键点注释,我没有找到正确的解决方案。