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In the pre-packaged darknet-nvdla repo that you distribute in the get-darknet.sh script, there are three NVDLA loadable FlatBuffers, yolov3-subgraph0.nvdla, yolov3-subgraph1.nvdla, and yolov3-subgraph2.nvdla. These are generated for the nv_large config used in this project, but I'd love to regenerate these myself for other NVDLA configurations, such as nv_small. Did you manually convert yolov3.weights into a caffemodel, break it into the subgraphs supported by the NVDLA, and then run those 3 caffemodel files through the NVDLA compiler? I'm not entirely sure if that's the right strategy, and it would be great to get some advice before delving into that problem. Thanks!
The text was updated successfully, but these errors were encountered:
In the pre-packaged
darknet-nvdla
repo that you distribute in theget-darknet.sh
script, there are three NVDLA loadable FlatBuffers,yolov3-subgraph0.nvdla
,yolov3-subgraph1.nvdla
, andyolov3-subgraph2.nvdla
. These are generated for thenv_large
config used in this project, but I'd love to regenerate these myself for other NVDLA configurations, such asnv_small
. Did you manually convertyolov3.weights
into acaffemodel
, break it into the subgraphs supported by the NVDLA, and then run those 3caffemodel
files through the NVDLA compiler? I'm not entirely sure if that's the right strategy, and it would be great to get some advice before delving into that problem. Thanks!The text was updated successfully, but these errors were encountered: