Instructions to use zeyuren2002/EvalMDE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zeyuren2002/EvalMDE with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("zeyuren2002/EvalMDE", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
File size: 364 Bytes
ecd43ed | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | #!/usr/bin/env bash
set -e
set -x
subfolder=${1:-"eval"}
python script/depth/eval.py \
--base_data_dir $BASE_DATA_DIR \
--dataset_config config/dataset_depth/data_eth3d.yaml \
--alignment least_square \
--prediction_dir output/${subfolder}/eth3d/prediction \
--output_dir output/${subfolder}/eth3d/eval_metric \
--alignment_max_res 1024
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