Please provide the following information when requesting support.
• Hardware (Xavier/Nano)
• Network Type (Yolo_v4 / object detection)
• TLT Version ( tao-toolkit-3-0-21-11)
In pipeline.cfg files when training in tensorflow it is possible to say how many negative examples to use in an image via min_negative_per_image. Is there a similar parameter available in TAO for YOLO specs?
Thanks for getting back to me. Yes that is for SSD (I don’t think TF1.x has a yolo example), and yes are there similar parameters in TAO either for SSD and/or YOLO?