mono_depth_scripts/run_mono-depth_sintel.sh
#!/bin/bash
# Copyright 2025 DeepMind Technologies Limited
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#    http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================


evalset=(
  mountain_1
  alley_1
  alley_2
  bamboo_1
  bamboo_2
  temple_2
  temple_3
  market_2
  market_5
  market_6
  cave_4
  ambush_4
  ambush_5
  ambush_6
  cave_2
  shaman_3
  sleeping_1
  sleeping_2
)

DATA_DIR=/home/zhengqili/Sintel

# Run DepthAnything
for seq in ${evalset[@]}; do
  CUDA_VISIBLE_DEVICES=0 python Depth-Anything/run_videos.py --encoder vitl \
  --load-from Depth-Anything/checkpoints/depth_anything_vitl14.pth \
  --img-path $DATA_DIR/$seq/rgb \
  --outdir Depth-Anything/video_visualization/$seq
done

# # Run UniDepth
export PYTHONPATH="${PYTHONPATH}:$(pwd)/UniDepth"

for seq in ${evalset[@]}; do
  CUDA_VISIBLE_DEVICES=0 python UniDepth/scripts/demo_mega-sam.py \
  --scene-name $seq \
  --img-path $DATA_DIR/$seq/rgb \
  --outdir UniDepth/outputs
done
