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ClearML is not saving scalars/images when using Tensorflow Object detection API - TF2.2
See original GitHub issueThis issue is related to this thread: https://clearml.slack.com/archives/CTK20V944/p1610457717141400
To reproduce:
git clone https://github.com/glemarivero/raccoon_dataset.git
setup a virtualenv
run sh autoinstall.sh
Generate tfrecords:
python generate_tfrecord.py --output_path images.tfrecord --csv_input raccoon_labels.csv --image_dir images
Run training:
python model_main_tf2.py --model_dir=models/ --pipeline_config_path=pipeline.config
Issue Analytics
- State:
- Created 3 years ago
- Comments:20 (13 by maintainers)
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Just to add my +1, the scenario just described by @bmartinn is the same that I experience.
Hi @glemarivero Thank you again for the code! I am able to run the training session. I think it reproduces the issue, as I’m only getting the “steps_per_sec” scalar graph, and I’m missing the “Loss/BoxClassifierLoss/localization_loss” etc. Let me dig deeper and see what’s going on.