System information
- What is the top-level directory of the model you are using:
research/object_detection
- Have I written custom code (as opposed to using a stock example script provided in TensorFlow):
No
- OS Platform and Distribution (e.g., Linux Ubuntu 16.04):
Ubuntu 18.04
- TensorFlow installed from (source or binary):
Source
- TensorFlow version (use command below):
1.10
- Bazel version (if compiling from source):
0.15.2
- CUDA/cuDNN version:
9.2/7.1.4.18
- GPU model and memory:
GTX 960/4G
- Exact command to reproduce:
python tf_models/research/object_detection/model_main.py --alsologtostderr
--pipeline_config_path=ssdlite_mobilenet_v2_coco.config --model_dir=XXX
Describe the problem
Looks like the new model_main.py hardcodes many parameters. It simply ignores keep_checkpoint_every_n_hours. In another bug, it only exports one image to tensorboard, ignoring
num_visualizations.
System information
research/object_detection
No
Ubuntu 18.04
Source
1.10
0.15.2
9.2/7.1.4.18
GTX 960/4G
python tf_models/research/object_detection/model_main.py --alsologtostderr
--pipeline_config_path=ssdlite_mobilenet_v2_coco.config --model_dir=XXX
Describe the problem
Looks like the new model_main.py hardcodes many parameters. It simply ignores keep_checkpoint_every_n_hours. In another bug, it only exports one image to tensorboard, ignoring
num_visualizations.