jbarth-ubhd
jbarth-ubhd
Dear Reader, I've did some comparison with random text. * Random text, to test the raw engine performance, not dictionaries * because foreign, perhaps transcripted (foreign) names sometimes look like...
Calling acb_elliptic_pi_inc(a_res, a_n, a_phi, a_m, quasiperiod_1, 52) like this (Mathematica syntax) ``` EllipticPi[+0.000000 -3.000000 Sqrt[-1], +0.769972 +0.680250 Sqrt[-1], -9.000000 -0.000000 Sqrt[-1]] = +0.575274 -0.173587 i ``` but Wolfram Mathematica states...
Requesting 512×512 tiles with 16 client processes in parallel from _pyramidal jpeg tiff with 512×512 tile size_ from our _dual Xeon Gold 6246 server_ we're getting approx. 140 MPixel/s. Now...
Error message:  but... `src/lib/AnnotationResource.js` line 12 is ```javascript /** */ ``` and max line length in *AnnotationResource.js* is 96 chars...
- I am the author or maintainer of this manifest: Yes - URL: https://digi.ub.uni-heidelberg.de/diglit/iiif/mod_kunst1888/manifest.json , e. g. 63th scan - Manifest hosting institution: University Library Heidelberg ### Observed behavior -...
Example page generated with OCR-D ocrd-calamari-recognize [OCR_0007.zip](https://github.com/UB-Mannheim/ocr-fileformat/files/4266853/OCR_0007.zip) `ocr-transform page hocr ... ... && ocr-transform hocr alto2.0 ... ...` instead is loosing page size.
Perhaps this is not an error. Kind regards, J. Barth
Here the original image: https://digi.ub.uni-heidelberg.de/diglitData/v/blaeu1655bd6_-_00_129.tif here the image fed into sbb-textline (binarized etc): https://digi.ub.uni-heidelberg.de/diglitData/v/blaeu1655bd6_-_00_129-binarized.png and here the detected segments:  model used: ``` -rw-r--r-- 1 jb users 458969872 Dec 10...
Tried with docker `maximum-cuda`.
From tensorflow docs: »...to configure a virtual GPU device with `tf.config.set_logical_device_configuration` and set a hard limit on the total memory to allocate on the GPU.« Found in eynollah.py: `#gpu_options =...