evaluation #13
Description
您好，我在运行测试脚本bash scripts/train train_vg1.2.sh后，得到权重文件output/train/vg1.2_5e/20250823190/checkpoint_0.pth，然后运行测试脚本bash scripts/eval/eval_vg1.2_densecap.sh output/train/vg1.2_5e/20250823190/checkpoint_0.pth输出了如下的结果：
2025-08-24 18:01:25,810 [INFO] load checkpoint from /root/autodl-tmp/ControlCap/ckpts/checkpoint_0.pth
2025-08-24 18:01:25,824 [INFO] Evaluating on val.
2025-08-24 18:01:25,825 [INFO] dataset_ratios not specified, datasets will be concatenated (map-style datasets) or chained (webdataset.DataPipeline).
2025-08-24 18:01:25,825 [INFO] Loaded 3682892 records for train split from the dataset.
2025-08-24 18:01:25,825 [INFO] Loaded 5000 records for val split from the dataset.
2025-08-24 18:01:25,825 [INFO] Empty train splits.
2025-08-24 18:01:25,825 [INFO] Empty train splits.
Loading checkpoint shards: 100%|███████████████████████████████████████████████| 2/2 [02:38<00:00, 79.22s/it]
Evaluation [ 0/2500] eta: 4:42:57 time: 6.7910 data: 2.9157 max mem: 17443
Evaluation [ 10/2500] eta: 1:18:03 time: 1.8810 data: 0.2698 max mem: 18689
Evaluation [2490/2500] eta: 0:00:14 time: 1.4257 data: 0.0039 max mem: 21590
Evaluation [2499/2500] eta: 0:00:01 time: 1.5855 data: 0.0568 max mem: 21590
Evaluation Total time: 1:00:39 (1.4558 s / it)
2025-08-24 19:03:36,920 [WARNING] Merging results.
100%|██████████████████████████████████████████████████████████████████████████| 2/2 [00:00<00:00, 2.86it/s]
2025-08-24 19:04:04,962 [INFO] :Get (0/237996) predictions.
2025-08-24 19:04:04,963 [INFO] :Save result to (/root/autodl-tmp/ControlCap/output/eval/vg1.2/20250824175/result/val.json).
2025-08-24 19:04:05,699 [INFO] :Begin evaluation (/root/autodl-tmp/ControlCap/output/eval/vg1.2/20250824175/result/val.json).
loading annotations into memory...
Done (t=3.53s)
creating index...
index created!
loading annotations into memory...
Done (t=3.53s)
creating index...
index created!
100%|██████████████████████████████████████████████████████████████████| 5000/5000 [00:04<00:00, 1001.58it/s]
100%|███████████████████████████████████████████████████████████████████| 5000/5000 [00:24<00:00, 202.84it/s]
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
- Avoid using tokenizers before the fork if possible
- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
Traceback (most recent call last):
File "train.py", line 98, in
main()
File "train.py", line 94, in main
runner.train()
File "/root/autodl-tmp/ControlCap/controlcap/runners/runner.py", line 113, in train
val_log = self.eval_epoch(
File "/root/miniconda3/envs/controlcap/lib/python3.8/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "/root/miniconda3/envs/controlcap/lib/python3.8/site-packages/lavis/runners/runner_base.py", line 472, in eval_epoch
return self.task.after_evaluation(
File "/root/autodl-tmp/ControlCap/controlcap/tasks/task.py", line 348, in after_evaluation
metrics = self.report_metrics_densecap(result_file=result_file)
File "/root/miniconda3/envs/controlcap/lib/python3.8/site-packages/lavis/common/dist_utils.py", line 112, in wrapper
return func(*args, **kwargs)
File "/root/autodl-tmp/ControlCap/controlcap/tasks/task.py", line 448, in report_metrics_densecap
metrics = ev.evaluate()
File "/root/autodl-tmp/ControlCap/controlcap/common/evaluation/eval_densecap.py", line 169, in evaluate
meteor, meteors = self.score_captions()
File "/root/autodl-tmp/ControlCap/controlcap/common/evaluation/eval_densecap.py", line 92, in score_captions
meteor_scorer = Meteor()
File "/root/autodl-tmp/ControlCap/controlcap/common/evaluation/meteor/meteor.py", line 48, in init
self.meteor_p = subprocess.Popen(meteor_cmd,
File "/root/miniconda3/envs/controlcap/lib/python3.8/subprocess.py", line 858, in init
self._execute_child(args, executable, preexec_fn, close_fds,
File "/root/miniconda3/envs/controlcap/lib/python3.8/subprocess.py", line 1720, in _execute_child
raise child_exception_type(errno_num, err_msg, err_filename)
FileNotFoundError: [Errno 2] No such file or directory: 'java'
但是我好像不能安装java环境，想请教您这个问题怎么解决呢？