@@ -23,7 +23,14 @@ In order to be able to use compression for your dataset, the dataset codebook fo
-`-cbc, --codebook-cache <DIRECTORY>` - Directory with prepared codebooks.
-`-vq, --vector-quantization <VECTOR>` - Set vector quantization as the used lossy compression algorithm. *REQUIRED FOR NOW*. `VECTOR` specifies the dimenions of the quantization vector eg. 3x3, 3x3x3, ...
-`-v, --verbose` - Make the QCMP cell handler verbose.
-`-cf,--compress-from <PYRAMID-LEVEL>` - Set minimal mipmap/pyramid level, which should be compressed. For example `-cf 1` means that level 0 won't be compressed, but levels greater and equal to 1 will be.
-`-wc, --worker-count` - Number of worker threads used for codebook training.
-`-cf,--compress-from <PYRAMID-LEVEL>` - Set minimal mipmap/pyramid level, which should be compressed. For example `-cf 1` means that level 0 won't be compressed, but levels greater and equal to 1 will be.
-`tcb` - Specify after dataset pair, to enable codebook training on the server startup.
### Note about `tcb`:
`tcb` option can be specified in both dataset file and command line arguments. In the dataset file, it must be separated by `<tab>` character, same as dataset name and xml file path.
The trained codebooks will be saved in the codebook cache directory, which is specified by the `-cbc` options. Codebooks will be read from this directory in the next run of the server application.
