@mmassom96
Clone this repo, and go into the yolov3 folder.
Check out the branch with git checkout br_develop
Follow the instructions here to learn how to train the network
Training Yolo
Your RTX2070 super has a lot of tensor cores which supports half-precision float models.
(16-bit floating-point precision vs 32-bit) which can speed up detection and training significantly.
Attempt to train network with cfg/yolov3-tiny.cfg or cfg/br_roulette_tiny3L.cfg with any data at half-point precision.
Evaluate performance and report back to the group your findings.
@mmassom96 Clone this repo, and go into the yolov3 folder.
Check out the branch with
git checkout br_developFollow the instructions here to learn how to train the network Training Yolo
Your RTX2070 super has a lot of tensor cores which supports half-precision float models. (16-bit floating-point precision vs 32-bit) which can speed up detection and training significantly.
Attempt to train network with
cfg/yolov3-tiny.cfgorcfg/br_roulette_tiny3L.cfgwith any data at half-point precision.Evaluate performance and report back to the group your findings.
Do not hesitate to ask for help you need to.