simonmeister / motion-rcnn

Motion R-CNN: Mask R-CNN with support for 3D motion estimation (prototype)

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How to evaluate the trained models?

Deepak3994 opened this issue · comments

Hi,

I have trained your code for arround 50k steps, using the script "python train.py --logtostderr --pipeline_config_path=data/configs/motion_rcnn_vkitti_cam.config --train_dir=output/train/motion_rcnn_vkitti_cam --gpu 0".

I wanted to know how to evaluate the trained model. I ran another script "python eval.py --logtostderr --pipeline_config_path=data/configs/motion_rcnn_vkitti_cam.config --checkpoint_dir=output/train/motion_rcnn_vkitti_cam --eval_dir=output/eval/motion_rcnn_vkitti_cam", which generated few events file in the folder.

Screenshot from 2019-04-11 08-53-45

Kindly help, in getting to know how can i evaluate.

Hi, you should use TensorBoard to open the logs.

Hi,

How to do the inference?

Do we have any sample code to do inference on multiple images? I hope inference code is not the same as in tesnorflow object detection api...
Kindly provide inputs...

Inference is done like in the tensorflow object detection API, sorry.