custom_prediction.json file size is too large

[greeksharifa]

❓ Questions and Help

During running in custom dataset... I got the error:

INIT SAVE DIR checkpoints/causal-motifs-sgdet
get_checkpoint_file checkpoints/causal-motifs-sgdet/last_checkpoint
last_saved checkpoints/causal-motifs-sgdet/model_0028000.pth
2022-09-13 19:49:41,654 maskrcnn_benchmark.utils.checkpoint INFO: Loading checkpoint from checkpoints/causal-motifs-sgdet/model_0028000.pth
100%|████████████████████████████████████████████████████████████████████████████████| 12195/12195 [03:49<00:00, 53.16it/s]
=====> output_dir/01/custom_data_info.json SAVED !
2022-09-13 19:53:50,023 maskrcnn_benchmark.inference INFO: Start evaluation on VG_stanford_filtered_with_attribute_test dataset(12195 images).
100%|██████████████████████████████████████████████████████████████████████████████| 12195/12195 [2:32:32<00:00,  1.33it/s]
2022-09-13 22:26:23,093 maskrcnn_benchmark.inference INFO: Total run time: 2:32:33.070335 (0.750559273055461 s / img per device, on 1 devices)
2022-09-13 22:26:23,093 maskrcnn_benchmark.inference INFO: Model inference time: 2:32:03.855223 (0.7481636098976652 s / img per device, on 1 devices)
Traceback (most recent call last):
  File "/home/ywjang/miniconda3/envs/usgg/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/home/ywjang/miniconda3/envs/usgg/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "/home/ywjang/miniconda3/envs/usgg/lib/python3.7/site-packages/torch/distributed/launch.py", line 263, in <module>
    main()
  File "/home/ywjang/miniconda3/envs/usgg/lib/python3.7/site-packages/torch/distributed/launch.py", line 259, in main
    cmd=cmd)
subprocess.CalledProcessError: Command '['/home/ywjang/miniconda3/envs/usgg/bin/python', '-u', 'tools/relation_test_net.py', '--local_rank=0', '--config-file', 'configs/e2e_relation_X_101_32_8_FPN_1x.yaml', 'MODEL.ROI_RELATION_HEAD.USE_GT_BOX', 'False', 'MODEL.ROI_RELATION_HEAD.USE_GT_OBJECT_LABEL', 'False', 'MODEL.ROI_RELATION_HEAD.PREDICTOR', 'CausalAnalysisPredictor', 'MODEL.ROI_RELATION_HEAD.CAUSAL.EFFECT_TYPE', 'TDE', 'MODEL.ROI_RELATION_HEAD.CAUSAL.FUSION_TYPE', 'sum', 'MODEL.ROI_RELATION_HEAD.CAUSAL.CONTEXT_LAYER', 'motifs', 'TEST.IMS_PER_BATCH', '1', 'DTYPE', 'float16', 'GLOVE_DIR', '/data/glove', 'MODEL.PRETRAINED_DETECTOR_CKPT', 'checkpoints/causal-motifs-sgdet', 'OUTPUT_DIR', 'checkpoints/causal-motifs-sgdet', 'TEST.CUSTUM_EVAL', 'True', 'TEST.CUSTUM_PATH', '/data/AnotherMissOh/images_per_episode/01/', 'DETECTED_SGG_DIR', 'output_dir/01/']' died with <Signals.SIGKILL: 9>.

It died with <Signals.SIGKILL: 9>.

So, I run the tools/relation_test_net.py in only 10 images, it successfully executed, but the output file is too big:

ls output_dir/images_10/ -hl
total 60M
-rw-r--r-- 1 root root 2.5K  9월 12 16:50 custom_data_info.json
-rw-r--r-- 1 root root  60M  9월 12 16:51 custom_prediction.json

6 Megabytes per 1 image...

What's the problem? Should I edit some config files? where or what?

Thanks.

[farahFif]

Hi, @greeksharifa did you find a solution for this ?

[greeksharifa]

Hi, @greeksharifa did you find a solution for this ?

No, I didn't.

[farahFif]

My solution was to change json with PICKLE , it reduced the size from 29MB to 12MB for 4 images. I think it still big but this is due to the large number of objects stored. Try to play with maskrcnn_benchmark/engine/inference.py and reduce bbx or delete structures you don't need.

[mamadkhaleghi]

consider setting the "`MODEL.ROI_HEADS.DETECTIONS_PER_IMG" into an smaller value in your command

(default is 80 in "configs/e2e_relation_X_101_32_8_FPN_1x.yaml" file)

it will considerably shrink the size of the output "custom_prediction.json" file

but be aware that the size of "custom_prediction.json" file is dependent on the number of images existing in your "DETECTED_SGG_DIR" directory, so you might need to exclude some of your images from this directory and put them in another one and try to generate scene graphs from them with another command!