Place TFloat type in the tesseract namespace #8
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Up to now Tesseract used double for training and recognition with "best" models. This commit replaces double by a new data type TFloat which is double by default, but float if FAST_FLOAT is defined. Ideally this should allow faster training. Signed-off-by: Stefan Weil <[email protected]>
Signed-off-by: Stefan Weil <[email protected]>
Signed-off-by: Stefan Weil <[email protected]>
Signed-off-by: Stefan Weil <[email protected]>
Signed-off-by: Stefan Weil <[email protected]>
Signed-off-by: Stefan Weil <[email protected]>
Signed-off-by: Stefan Weil <[email protected]>
Signed-off-by: Stefan Weil <[email protected]>
Signed-off-by: Stefan Weil <[email protected]>
Signed-off-by: Stefan Weil <[email protected]>
…vector (8x32) (contrasting 4 double FPs: 4*64)
…6d scale01234567 = _mm256_loadu_ps(scales)`, i.e. loading float vectors into double vector types. Extract from tesseract-ocr#3490.
Signed-off-by: Stefan Weil <[email protected]>
Signed-off-by: Stefan Weil <[email protected]>
Signed-off-by: Stefan Weil <[email protected]>
Signed-off-by: Stefan Weil <[email protected]>
…ith all other tesseract defined types, to prevent collisions with thirdparty software.
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Merged by cherry picking the relevant commit, thanks. |
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Place TFloat type in the tesseract namespace, same as has been done with all other tesseract defined types, to prevent collisions with thirdparty software.