have downloaded all openvino_training_extensions from Git
make all steps
python ../../external/models/research/object_detection/model_main.py \ --model_dir=./model \ --pipeline_config_path=./configs/pipeline.config system makes ./model folder but without eval_0/ subfolder. There is why by using tensorboard --logdir=./model it sees no photos.
please, correct my steps
Dear timofeev, vasil
I assume you are talking about openvino_training_extensions ? Each model has a unique set of steps. For instance Pytorch Action Recognition looks like this. Tensorflow SSD Detector looks like this . From your above command, I'm not sure what you're trying to do.
May I ask why you are thinking of openvino_training_extensions ?
I followed Tensorflow personal_vehicule_bike steps
python ./tools/create_crossroad_extra_tf_records.py \ --train_image_dir=../../data/airport/train/ \ --val_image_dir=../../data/airport/val/ \ --train_annotations_file=../../data/airport/annotation_example_train.json \ --val_annotations_file=../../data/airport/annotation_example_val.json \ --output_dir=../../data/airport/tfrecords
i get tfrecords folder as it must be
after that i use
python ../../external/models/research/object_detection/model_main.py \ --model_dir=./model \ --pipeline_config_path=./configs/pipeline.config
and i get a /model folder, but in the model folder itselves there are no /eval_0 subfolder with "artifacts"
the "model" folder contains only
-rw-rw-r-- 1 imt imt 81 авг 20 22:18 checkpoint
-rw-rw-r-- 1 imt imt 23293218 авг 20 22:18 events.out.tfevents.1566328688.imt-pc
-rw-rw-r-- 1 imt imt 13164544 авг 20 22:18 graph.pbtxt
-rw-rw-r-- 1 imt imt 22992520 авг 20 22:18 model.ckpt-0.data-00000-of-00001
-rw-rw-r-- 1 imt imt 32164 авг 20 22:18 model.ckpt-0.index
-rw-rw-r-- 1 imt imt 6377804 авг 20 22:18 model.ckpt-0.meta
and by using
i don't see like this right tensorboard image
no "image" menu
Dear timofeev, vasil,
As I said before, if you have further questions it's best to post your question on https://github.com/opencv/openvino_training_extensions/issues as the person who maintains it is quite responsive.
For your particular issue though, it doesn't seem like an OpenVino issue or even a training_extensions issue. This blog article how to inspect a pre-trained Tensorflow Model should help. I have used the techniques suggested in this blog article myself to visualize a pre-trained Tensorflow *.pb.