Logging

[michaelisc]

🐛 Bug

Logging can interfere with the logging used in object detection toolboxes like mmdetection.

To Reproduce

• clone and install mmdetection

git clone https://github.com/open-mmlab/mmdetection.git
cd mmdetection
pip install -v -e .

• add from lvis.lvis import LVIS to a file (e.g. mmdet/datasets/coco.py)
• run training:

python3 tools/train.py configs/faster_rcnn_r50_fpn_1x.py

The training function will start its printed outputs with something like:

[10/02 00:35:51] root WARNING: The model and loaded state dict do not match exactly

and no logging outputs will be printed during the training.

Expected behavior

Normally the first printed lines are:

2019-10-02 00:38:32,040 - INFO - Distributed training: False
2019-10-02 00:38:32,557 - INFO - load model from: torchvision://resnet50
2019-10-02 00:38:33,420 - WARNING - The model and loaded state dict do not match exactly

and logging outputs are printed during training, e.g.:

2019-10-02 00:40:31,962 - INFO - Start running, host: xxx@zzz, work_dir: $CURRENT_DIR/work_dirs/faster_rcnn_r50_fpn_1x
2019-10-02 00:40:31,967 - INFO - workflow: [('train', 1)], max: 12 epochs
2019-10-02 00:40:03,400 - INFO - Epoch [1][50/14186]    lr: 0.00199, eta: 1 day, 5:42:13, time: 0.628, data_time: 0.031, memory: 3852, loss_rpn_cls: 0.4321, loss_rpn_bbox: 0.0947, loss_cls: 1.2581, acc: 90.4229, loss_bbox: 0.1021, loss: 1.8871
2019-10-02 00:40:27,730 - INFO - Epoch [1][100/14186]   lr: 0.00233, eta: 1 day, 2:20:42, time: 0.487, data_time: 0.019, memory: 3852, loss_rpn_cls: 0.3118, loss_rpn_bbox: 0.0992, loss_cls: 0.7181, acc: 93.3760, loss_bbox: 0.1250, loss: 1.2541

Additional context

This seems to be a conflict between the two loggers. My quick fix was, to remove the logger in the lvis api and replace it by print functions where appropriate. I am happy to submit this as a pull request but I guess the issue needs some discussion and a decision from your side, how to proceed.

[wondervictor]

I've met the same problem.