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Training

After preparing the data, run the following script to train the model. By default, all models are trained on 8 GPUs.

KITTI

DepthFormer with GEDepth-Vanilla

bash tools/dist_train.sh configs/depthformer/depthformer_v.py 8

DepthFormer with GEDepth-Adaptive

bash tools/dist_train.sh configs/depthformer/depthformer_a.py 8

DDAD

DepthFormer with GEDepth-Vanilla

bash tools/dist_train.sh configs/depthformer/depthformer_v_ddad.py 8

DepthFormer with GEDepth-Adaptive

bash tools/dist_train.sh configs/depthformer/depthformer_a_ddad.py 8

Evaluation

KITTI

DepthFormer with GEDepth-Vanilla

bash tools/dist_test.sh  configs/depthformer/depthformer_v.py  ckpt/depthformer_v.pth  8

DepthFormer with GEDepth-Adaptive

bash tools/dist_test.sh  configs/depthformer/depthformer_a.py  ckpt/depthformer_a.pth  8

DDAD

DepthFormer with GEDepth-Vanilla

bash tools/dist_test.sh  configs/depthformer/depthformer_v_ddad.py  ckpt/depthformer_v_ddad.pth  8

DepthFormer with GEDepth-Adaptive

bash tools/dist_test.sh  configs/depthformer/depthformer_a_ddad.py  ckpt/depthformer_a_ddad.pth  8