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                                            Liheng

how's the performance on 16 beams lidar data?

![Peek 2019-04-12 18-38](https://user-images.githubusercontent.com/12984898/56031475-2d497100-5d52-11e9-8033-bfc0e7a0b408.gif)

how's the performance on 16 beams lidar data?

record problem, inference_time between 30ms~50ms

how's the performance on 16 beams lidar data?

No, that's not pertained model released by Author

how's the performance on 16 beams lidar data?

both dataset are trained, nuscenes performs better.

how's the performance on 16 beams lidar data?

trained with 64/32 beam lidar data, inference with 16 beam lidar data, don't need to downsample @turboxin

how's the performance on 16 beams lidar data?

if you using 1050Ti , inference time between 40ms ~ 60ms (without tensorrt speed up) with 1080TI , inference time between 15ms~30ms(without tensorrt)

how's the performance on 16 beams lidar data?

there has some problem in pytorch-> onnx -> tensorRT, I can't successfully convert this model in tensorrt to speed up the inference cost time. But you can refer this repo,...

First Step accuracy?

第一步的训练参数有问题, 我这边在自己的机器上训练出来的结果准确率达不到要求

First Step accuracy?

in the second step, I got 99.2 in lfw and 95.1 in agedb , maybe I need to continue training. but the acc in the lfw looks like stuck in...

First Step accuracy?

thanks, I'll try it in the next time.