Comments (3)
Robert-JunWang
commented on July 24, 2024
The 5.4M is the number of parameters. The actual model size on hard disk depends on the file format. To reduce mode size, you can store weights with float16 precision so that the actual model size can be halved and the mAP is almost the same. You can further reduce the model size by model pruning.
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shudct
commented on July 24, 2024
@Robert-JunWang Thank for your explanation. Caffe seems not support float16 for training and inference. Can you give me some advice for store the weights? THX!
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ujsyehao
commented on July 24, 2024
@shudct NVcaffe supports for float16.
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