overfitover / qapnet

mini_batch

python pre_processor/gen_mini_batches.py

add path

export PYTHONPATH=$PYTHONPATH:'/home/ovo/project/graduation_project/qapNet/wavedata' export PYTHONPATH=$PYTHONPATH:'/home/ovo/project/graduation_project/qapNet'

train

python experiments/run_training.py --pipeline_config=avod/configs/pyramid_cars_example.config --device='0' --data_split='train'

evaluator

python experiments/run_evaluation.py --pipeline_config=avod/configs/pyramid_cars_example.config --device='0' --data_split='val'

results scripts/offline_eval/results/

inference

python experiments/run_inference.py --checkpoint_name='pyramid_cars_example' --data_split='val' --ckpt_indices=120 --device='0'

results avod/data/outputs/proposals_and_final_predictions

viewing results

python visual/show_predictions_2d.py