While finetuning following the instruction , an error "too many values to unpack" happens in "for iteration, (images, targets, idxs, positive_map, positive_map_eval, greenlight_map) in enumerate(data_loader, start_iter):" (line 92 of maskrcnn_benchmark/engine/trainer.py). What is this problem?
The command is "python tools/eval_odinw.py --config_file configs/pretrain/mq-glip-l.yaml --opts 'MODEL.WEIGHT MODEL/mq-glip-l' --setting 5-shot --add_name large --log_path 'OUTPUT/custom_log/' --task_config configs/custom_dataset.yaml"
Hi,
This is due to a bug here, which gives an additional output "path". I have fixed it in the latest version. To solve this problem, you can either download the latest version or simply delete the "path" here.
YifanXu74
commented
1 year ago
While finetuning following the instruction , an error "too many values to unpack" happens in "for iteration, (images, targets, idxs, positive_map, positive_map_eval, greenlight_map) in enumerate(data_loader, start_iter):" (line 92 of maskrcnn_benchmark/engine/trainer.py). What is this problem? The command is "python tools/eval_odinw.py --config_file configs/pretrain/mq-glip-l.yaml --opts 'MODEL.WEIGHT MODEL/mq-glip-l' --setting 5-shot --add_name large --log_path 'OUTPUT/custom_log/' --task_config configs/custom_dataset.yaml"