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authorNick White <git@njw.name>2020-11-18 13:47:44 +0000
committerNick White <git@njw.name>2020-11-18 13:47:44 +0000
commit82ee93b53ae4fcef619543f643dc626f6c9353cf (patch)
treeb7c80b1530501945c31ba48731e7311d06d685c8
parent2717c5ed21a082a7f24833f3d57b303fd22bd4e5 (diff)
Describe rescribe tool in documentationv0.3.1
-rw-r--r--README12
-rw-r--r--doc.go11
2 files changed, 10 insertions, 13 deletions
diff --git a/README b/README
index 681d731..0d2119b 100644
--- a/README
+++ b/README
@@ -46,19 +46,19 @@ setting:
- pdfbook : creates a searchable PDF from a directory of hOCR
and image files
-## Local operation
+## Rescribe tool for local operation
While bookpipeline was built with cloud based operation in mind, there is also
a local mode that can be used to run OCR jobs from a single computer, with all
the benefits of preprocessing, choosing the best threshold for each image,
graph creation, PDF creation, and so on that the pipeline provides.
-You can use this by passing the '-c local' flag to the core bookpipeline
-commands. Here is a simple example run:
+Several of the commands accept a `-c local` flag for local operation, but now
+there is also a new command, named `rescribe`, that is designed to make things
+much simpler for people just wanting to do some OCR on their local computer.
- booktopipeline -c local MyBook
- bookpipeline -v -c local # run until MyBook has finished processing
- getpipelinebook -c local MyBook
+More information about this, including links to prebuilt executables, can be
+found on our blog at <https://blog.rescribe.xyz/posts/desktop-tool/>.
## Contributions
diff --git a/doc.go b/doc.go
index 179a4f3..bd4da11 100644
--- a/doc.go
+++ b/doc.go
@@ -174,14 +174,11 @@ Local operation
While bookpipeline was built with cloud based operation in mind, there is also
a local mode that can be used to run OCR jobs from a single computer, with all
the benefits of preprocessing, choosing the best threshold for each image,
-graph creation and so on that the pipeline provides.
+graph creation, PDF creation, and so on that the pipeline provides.
-You can use this by passing the '-c local' flag to the core bookpipeline
-commands. Here is a simple example run:
-
- booktopipeline -c local MyBook
- bookpipeline -v -c local # run until MyBook has finished processing
- getpipelinebook -c local MyBook
+Several of the commands accept a `-c local` flag for local operation, but now
+there is also a new command, named rescribe, that is designed to make things
+much simpler for people just wanting to do some OCR on their local computer.
Note that the local mode is not as well tested as the core cloud modes; please
report any bugs you find with it.