Ghustwb
Ghustwb
I got this issue when run alfred
训练速度很慢
训练数据6万张图片,batch size设置512,训练PNet,读取数据就花了4个小时。迭代速度 20step 耗时4分钟。这个在哪里可以改吗
运行landmark_and_pose路径下的testlandmark.py文件,程序可以运行,但是出来的点位置不对。
Thanks for your work, I works on tx2.But I think the inference time is not normal,MobileNetV1-ssd can run 38pfs on Jetson TX2,Tiny-DSOD only 14fps. Is it wrong with my operation?...
Asserion ‘engine’failed ICudaEngine* engine = builder->buildCudaEngine( *network ); assert(engine); ```c++ void TensorNet::caffeToTRTModel(const std::string& deployFile, const std::string& modelFile, const std::vector& outputs, unsigned int maxBatchSize) { IBuilder* builder = createInferBuilder(gLogger); INetworkDefinition* network...
The problem still exists. First of all ,I want to test 1920*1080 video. Then,when i set the "minsize" to 60(default),the application output "the minsize is too small,please change it",and,I set...