mirrors
/
MQ-Det
mirror of https://github.com/YifanXu74/MQ-Det.git
1
0
Fork 0
Code Issues Packages Projects Releases Wiki Activity

Update eval_odinw.py

BradyFU-patch-1
YifanXu 2023-10-17 17:48:51 +08:00 committed by GitHub
parent b22726d760
commit ded86f4467
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 7 additions and 7 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

14
tools/eval_odinw.py
View File

@ -97,7 +97,7 @@ if __name__ == "__main__":
query_bank_path = 'MODEL/{}_query_5_pool7_sel_{}.pth'.format(dataset_name, args.add_name)
log_save_path = str(Path(args.log_path, '{}-{}-finetuning-free.txt'.format(dataset_name, args.add_name)))
cmd = '{} tools/test_grounding_net.py --config-file {} --task_config {} --additional_model_config configs/vision_query_5shot/odinw.yaml VISION_QUERY.NUM_QUERY_PER_CLASS 100 VISION_QUERY.QUERY_BANK_PATH {} TEST.IMS_PER_BATCH 1 {} > {}'\
cmd = '{} tools/test_grounding_net.py --config-file {} --task_config {} --additional_model_config configs/vision_query_5shot/odinw.yaml VISION_QUERY.NUM_QUERY_PER_CLASS 100 VISION_QUERY.QUERY_BANK_PATH {} TEST.IMS_PER_BATCH 1 {} | tee -a {}'\
.format(
args.python,
args.config_file,
@ -112,7 +112,7 @@ if __name__ == "__main__":
for dataset_name ,task_config in dataset_configs.items():
query_bank_path = ''
log_save_path = str(Path(args.log_path, '{}-{}-1-shot.txt'.format(dataset_name, args.add_name)))
cmd = '{} -m torch.distributed.launch --nproc_per_node=4 tools/finetune.py --config-file {} --ft-tasks {} --additional_model_config configs/vision_query_5shot/odinw.yaml --skip-test --custom_shot_and_epoch_and_general_copy 1_200_8 --evaluate_only_best_on_test --push_both_val_and_test SOLVER.WEIGHT_DECAY 0.25 SOLVER.BASE_LR 0.05 SOLVER.TUNING_HIGHLEVEL_OVERRIDE vision_query_v3 VISION_QUERY.TEXT_DROPOUT 0.4 VISION_QUERY.NUM_QUERY_PER_CLASS 1 VISION_QUERY.MAX_QUERY_NUMBER 1 DATASETS.FEW_SHOT 1 TEST.IMS_PER_BATCH 4 SOLVER.IMS_PER_BATCH 4 {} VISION_QUERY.DATASET_NAME {} > {}'\
cmd = '{} -m torch.distributed.launch --nproc_per_node=4 tools/finetune.py --config-file {} --ft-tasks {} --additional_model_config configs/vision_query_5shot/odinw.yaml --skip-test --custom_shot_and_epoch_and_general_copy 1_200_8 --evaluate_only_best_on_test --push_both_val_and_test SOLVER.WEIGHT_DECAY 0.25 SOLVER.BASE_LR 0.05 SOLVER.TUNING_HIGHLEVEL_OVERRIDE vision_query_v3 VISION_QUERY.TEXT_DROPOUT 0.4 VISION_QUERY.NUM_QUERY_PER_CLASS 1 VISION_QUERY.MAX_QUERY_NUMBER 1 DATASETS.FEW_SHOT 1 TEST.IMS_PER_BATCH 4 SOLVER.IMS_PER_BATCH 4 {} VISION_QUERY.DATASET_NAME {} | tee -a {}'\
.format(args.python ,args.config_file, task_config, args.opts, \
dataset_name,\
log_save_path
@ -123,7 +123,7 @@ if __name__ == "__main__":
for dataset_name ,task_config in dataset_configs.items():
query_bank_path = ''
log_save_path = str(Path(args.log_path, '{}-{}-3-shot.txt'.format(dataset_name, args.add_name)))
cmd = '{} -m torch.distributed.launch --nproc_per_node=4 tools/finetune.py --config-file {} --ft-tasks {} --additional_model_config configs/vision_query_5shot/odinw.yaml --skip-test --custom_shot_and_epoch_and_general_copy 3_200_4 --evaluate_only_best_on_test --push_both_val_and_test SOLVER.WEIGHT_DECAY 0.25 SOLVER.BASE_LR 0.05 SOLVER.TUNING_HIGHLEVEL_OVERRIDE vision_query_v3 VISION_QUERY.TEXT_DROPOUT 0.4 VISION_QUERY.NUM_QUERY_PER_CLASS 3 VISION_QUERY.MAX_QUERY_NUMBER 3 DATASETS.FEW_SHOT 3 TEST.IMS_PER_BATCH 4 SOLVER.IMS_PER_BATCH 4 {} VISION_QUERY.DATASET_NAME {} > {}.txt'\
cmd = '{} -m torch.distributed.launch --nproc_per_node=4 tools/finetune.py --config-file {} --ft-tasks {} --additional_model_config configs/vision_query_5shot/odinw.yaml --skip-test --custom_shot_and_epoch_and_general_copy 3_200_4 --evaluate_only_best_on_test --push_both_val_and_test SOLVER.WEIGHT_DECAY 0.25 SOLVER.BASE_LR 0.05 SOLVER.TUNING_HIGHLEVEL_OVERRIDE vision_query_v3 VISION_QUERY.TEXT_DROPOUT 0.4 VISION_QUERY.NUM_QUERY_PER_CLASS 3 VISION_QUERY.MAX_QUERY_NUMBER 3 DATASETS.FEW_SHOT 3 TEST.IMS_PER_BATCH 4 SOLVER.IMS_PER_BATCH 4 {} VISION_QUERY.DATASET_NAME {} | tee -a {}.txt'\
.format(args.python ,args.config_file, task_config, args.opts, \
dataset_name,\
log_save_path,
@ -134,7 +134,7 @@ if __name__ == "__main__":
for dataset_name ,task_config in dataset_configs.items():
query_bank_path = ''
log_save_path = str(Path(args.log_path, '{}-{}-5-shot.txt'.format(dataset_name, args.add_name)))
cmd = '{} -m torch.distributed.launch --nproc_per_node=4 tools/finetune.py --config-file {} --ft-tasks {} --additional_model_config configs/vision_query_5shot/odinw.yaml --skip-test --custom_shot_and_epoch_and_general_copy 5_200_2 --evaluate_only_best_on_test --push_both_val_and_test SOLVER.WEIGHT_DECAY 0.25 SOLVER.BASE_LR 0.05 SOLVER.TUNING_HIGHLEVEL_OVERRIDE vision_query_v3 VISION_QUERY.TEXT_DROPOUT 0.4 TEST.IMS_PER_BATCH 4 SOLVER.IMS_PER_BATCH 4 {} VISION_QUERY.DATASET_NAME {} > {}'\
cmd = '{} -m torch.distributed.launch --nproc_per_node=4 tools/finetune.py --config-file {} --ft-tasks {} --additional_model_config configs/vision_query_5shot/odinw.yaml --skip-test --custom_shot_and_epoch_and_general_copy 5_200_2 --evaluate_only_best_on_test --push_both_val_and_test SOLVER.WEIGHT_DECAY 0.25 SOLVER.BASE_LR 0.05 SOLVER.TUNING_HIGHLEVEL_OVERRIDE vision_query_v3 VISION_QUERY.TEXT_DROPOUT 0.4 TEST.IMS_PER_BATCH 4 SOLVER.IMS_PER_BATCH 4 {} VISION_QUERY.DATASET_NAME {} | tee -a {}'\
.format(args.python ,args.config_file, task_config, args.opts, \
dataset_name,\
log_save_path
@ -145,7 +145,7 @@ if __name__ == "__main__":
for dataset_name ,task_config in dataset_configs.items():
query_bank_path = ''
log_save_path = str(Path(args.log_path, '{}-{}-10-shot.txt'.format(dataset_name, args.add_name)))
cmd = '{} -m torch.distributed.launch --nproc_per_node=4 tools/finetune.py --config-file {} --ft-tasks {} --additional_model_config configs/vision_query_5shot/odinw.yaml --skip-test --custom_shot_and_epoch_and_general_copy 10_200_1 --evaluate_only_best_on_test --push_both_val_and_test SOLVER.WEIGHT_DECAY 0.25 SOLVER.BASE_LR 0.05 SOLVER.TUNING_HIGHLEVEL_OVERRIDE vision_query_v3 VISION_QUERY.TEXT_DROPOUT 0.4 VISION_QUERY.NUM_QUERY_PER_CLASS 10 VISION_QUERY.MAX_QUERY_NUMBER 10 DATASETS.FEW_SHOT 10 TEST.IMS_PER_BATCH 4 SOLVER.IMS_PER_BATCH 4 {} VISION_QUERY.DATASET_NAME {} > {}'\
cmd = '{} -m torch.distributed.launch --nproc_per_node=4 tools/finetune.py --config-file {} --ft-tasks {} --additional_model_config configs/vision_query_5shot/odinw.yaml --skip-test --custom_shot_and_epoch_and_general_copy 10_200_1 --evaluate_only_best_on_test --push_both_val_and_test SOLVER.WEIGHT_DECAY 0.25 SOLVER.BASE_LR 0.05 SOLVER.TUNING_HIGHLEVEL_OVERRIDE vision_query_v3 VISION_QUERY.TEXT_DROPOUT 0.4 VISION_QUERY.NUM_QUERY_PER_CLASS 10 VISION_QUERY.MAX_QUERY_NUMBER 10 DATASETS.FEW_SHOT 10 TEST.IMS_PER_BATCH 4 SOLVER.IMS_PER_BATCH 4 {} VISION_QUERY.DATASET_NAME {} | tee -a {}'\
.format(args.python ,args.config_file, task_config, args.opts, \
dataset_name,\
log_save_path
@ -156,7 +156,7 @@ if __name__ == "__main__":
for dataset_name ,task_config in dataset_configs.items():
query_bank_path = ''
log_save_path = str(Path(args.log_path, '{}-{}-50-shot.txt'.format(dataset_name, args.add_name)))
cmd = '{} -m torch.distributed.launch --nproc_per_node=8 tools/finetune.py --config-file {} --ft-tasks {} --additional_model_config configs/vision_query_5shot/odinw.yaml --skip-test --custom_shot_and_epoch_and_general_copy 50_200_1 --evaluate_only_best_on_test --push_both_val_and_test SOLVER.WEIGHT_DECAY 0.25 SOLVER.BASE_LR 0.05 SOLVER.TUNING_HIGHLEVEL_OVERRIDE vision_query_v3 VISION_QUERY.TEXT_DROPOUT 0.4 VISION_QUERY.NUM_QUERY_PER_CLASS 50 VISION_QUERY.MAX_QUERY_NUMBER 50 DATASETS.FEW_SHOT 50 TEST.IMS_PER_BATCH 8 SOLVER.IMS_PER_BATCH 8 DATALOADER.NUM_WORKERS 0 {} VISION_QUERY.DATASET_NAME {} | tee {}'\
cmd = '{} -m torch.distributed.launch --nproc_per_node=8 tools/finetune.py --config-file {} --ft-tasks {} --additional_model_config configs/vision_query_5shot/odinw.yaml --skip-test --custom_shot_and_epoch_and_general_copy 50_200_1 --evaluate_only_best_on_test --push_both_val_and_test SOLVER.WEIGHT_DECAY 0.25 SOLVER.BASE_LR 0.05 SOLVER.TUNING_HIGHLEVEL_OVERRIDE vision_query_v3 VISION_QUERY.TEXT_DROPOUT 0.4 VISION_QUERY.NUM_QUERY_PER_CLASS 50 VISION_QUERY.MAX_QUERY_NUMBER 50 DATASETS.FEW_SHOT 50 TEST.IMS_PER_BATCH 8 SOLVER.IMS_PER_BATCH 8 DATALOADER.NUM_WORKERS 0 {} VISION_QUERY.DATASET_NAME {} | tee -a {}'\
.format(args.python ,args.config_file, task_config, args.opts, \
dataset_name,\
log_save_path
@ -167,7 +167,7 @@ if __name__ == "__main__":
for dataset_name ,task_config in dataset_configs.items():
query_bank_path = ''
log_save_path = str(Path(args.log_path, '{}-{}-full-shot.txt'.format(dataset_name, args.add_name)))
cmd = '{} -m torch.distributed.launch --nproc_per_node=4 tools/finetune.py --config-file {} --ft-tasks {} --additional_model_config configs/vision_query_5shot/odinw.yaml --skip-test --custom_shot_and_epoch_and_general_copy 0_200_1 --evaluate_only_best_on_test --push_both_val_and_test SOLVER.WEIGHT_DECAY 0.25 SOLVER.BASE_LR 0.05 SOLVER.STEP_PATIENCE 2 SOLVER.AUTO_TERMINATE_PATIENCE 4 SOLVER.TUNING_HIGHLEVEL_OVERRIDE vision_query_v3 VISION_QUERY.TEXT_DROPOUT 0.4 VISION_QUERY.NUM_QUERY_PER_CLASS 100 VISION_QUERY.MAX_QUERY_NUMBER 100 DATASETS.FEW_SHOT 0 TEST.IMS_PER_BATCH 4 SOLVER.IMS_PER_BATCH 4 {} VISION_QUERY.DATASET_NAME {} > {}'\
cmd = '{} -m torch.distributed.launch --nproc_per_node=4 tools/finetune.py --config-file {} --ft-tasks {} --additional_model_config configs/vision_query_5shot/odinw.yaml --skip-test --custom_shot_and_epoch_and_general_copy 0_200_1 --evaluate_only_best_on_test --push_both_val_and_test SOLVER.WEIGHT_DECAY 0.25 SOLVER.BASE_LR 0.05 SOLVER.STEP_PATIENCE 2 SOLVER.AUTO_TERMINATE_PATIENCE 4 SOLVER.TUNING_HIGHLEVEL_OVERRIDE vision_query_v3 VISION_QUERY.TEXT_DROPOUT 0.4 VISION_QUERY.NUM_QUERY_PER_CLASS 100 VISION_QUERY.MAX_QUERY_NUMBER 100 DATASETS.FEW_SHOT 0 TEST.IMS_PER_BATCH 4 SOLVER.IMS_PER_BATCH 4 {} VISION_QUERY.DATASET_NAME {} | tee -a {}'\
.format(args.python ,args.config_file, task_config, args.opts, \
dataset_name,\
log_save_path