Give me some instructions to improve mAP% from 0.0 % which was appeared executing the Notebook of TAO-Toolkit-Whitepaper-use-cases

I tried to follow Jupyter Notebook included in GitHub of retraining PeopleNet to adapt IR images.

But the result showed 0.0 mAP%.

Could you give me any instructions to accomplish around 80 mAP% as bellow?

I attached Notebook and spec files which I used.

Those are modified points when I executed the Notebook.

To change tao commands to correspond TAO version 5.
To change the repository name where I downloaded pretrained model from.
To change the value of “dbscan_min_samples” to “1” in the training spec file due to bellow information.

And, I only executed training process with 80% training dataset.

Best regards,
tao-v5_peoplenet_IR.zip (294.4 KB)
training_spec.txt (3.2 KB)
tfrecord_spec.txt (264 Bytes)

2 posts - 2 participants

Read full topic