Open good74152 opened 5 years ago
Thank you for your post. We noticed you have not filled out the following field in the issue template. Could you update them if they are relevant in your case, or leave them as N/A? Thanks. Bazel version Exact command to reproduce
@tensorflowbutler
Probably, this is the solution of your issue: https://tensorflow-object-detection-api-tutorial.readthedocs.io/en/latest/training.html#monitor-training-job-progress-using-tensorboard
This is not a solution tensorboard from box has only loss graphics and no accuracy. I have same problem. If someone know how to track accuracy during learing help me please. @good74152 did you found solution?
i have problem no accuracy show on tensorboard...any idea to fix it...
I have fixed accuracy on tensorflow for object detection api branch r1.13 and tensorflow 1.15.2 and tensorboard 1.16.0 maybe my way help you.
in config of model enable some metric I use this by defaul from this acticle https://tensorflow-object-detection-api-tutorial.readthedocs.io/en/latest/training.html#evaluating-the-model-optional
eval_config: { metrics_set: "coco_detection_metrics" num_examples: 9 }
start train here command python model_main.py -alsologtostderr --model_dir=training\ --pipeline_config_path=training/1.config
it will be generate need eval folder with evaluation data inside training folder run this command from this folder model\research\object detection\ tensorboard --logdir=training --host localhost
Profit!!!
@syafiq32 hope my solution works for you
thank you @dilvishjohn
i done following your step @dilvishjohn ...... why graph not show like below .....
@syafiq32 cause it's different metrics... here supported metrics of object detection. I think you need found metrics from this graphs or create them by you own, but it's hard and i don't know how it can be done. I sutisfied by coco metrics for me https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/evaluation_protocols.md
it so okey.... thank you @dilvishjohn for your time read my problem and give suggention to me.... i will try later....
i done following your step @dilvishjohn ...... why graph not show like below .....
is this in object detection
or you can review the line 58 in evaluator.py located in models-1.13.0.zip\models-1.13.0\research\object_detection\legacy fodler .. note this only works if you're using train.py and eval.py for training
For my problem we decided to not use CNN I create solution based on opencv cannyedgedetecor and template matching + multiscale resizing to detect object using image template on different resolutions. I didn't do any good goal in CNN but i am to machine learning and probably did some mistakes, but i am not sure that is possible to train CNN on 1 image to detect same object on different resolutions
I would still be interested in a solution to this if anyone can help with this.
Ive spent the lat couple of days searching for iformation on this subjec and this thread is the closest anyone has come to discussing this!
Hey @dilvishjohn, thanks for your recommendation. Could you please provide the folder structure? because I didn't understand this bit "it will be generate need eval folder with evaluation data inside training folder" which you have mentioned in your previous comment.
does anyone know how to display the accuracy on tensorbord?
plz need answer for this question. does anyone know how to display the accuracy on tensorbord?
Standing here too looking for this answer. There may be a way to see the "history" the same way i do when "fitting" my model manually. Not sure if there is any other way to graph Validation and Training Accuracy, this is useful for me because i can check Overfitting
System information
I am using faster_rcnn_inception_v2_pets.config with model_main.py , but i have no idea to show the classifier accuracy with test data
Have anyone know how to display the accuracy about test data on training log?
another question is how to display the accuracy about test data on tensorboard like this
thanks