Disparity results. about pseudo_lidar HOT 3 OPEN

Hi Jaesung,

The released model is trained on 3,712 KITTI 3D object detection training images. And the disparity ground truth is generated by ourselves, which might be slight different with they way used on kitti stereo dataset. You can evaluate it by doing the 3d object detection evaluation.

Best

Hello mileyan, thanks for sharing your working!
I have problems about disparity result too. When I tried to run the code, I got a terrible result. It turned out to be the PSMnet's problem. So I downloaded your finetuned model, but I got sparse result like this

running on 2 1080ti, and here is the command:

python ./psmnet/submission.py \
    --loadmodel ./psmnet/kitti_3d/finetune_300.tar \
    --datapath ./KITTI/object/testing/ \
    --save_path ./KITTI/object/testing/predict_disparity

It doesnt seem correct, but I really dont know where I got wrong.
I really appreciate it if you could provide some advise. Forgive my naive.

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Hi Jaesung,

The released model is trained on 3,712 KITTI 3D object detection training images. And the disparity ground truth is generated by ourselves, which might be slight different with they way used on kitti stereo dataset. You can evaluate it by doing the 3d object detection evaluation.

Best

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Hello. I am getting same results as above with the pre-trained model. The depth image looks like a mess. I am running it on new images however but the results are still quite bad. Is this normal?

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