From ebf0d5364001366d3f2654c7b628cd09dc907048 Mon Sep 17 00:00:00 2001
From: "Gerber, Mike" <mike.gerber@sbb.spk-berlin.de>
Date: Thu, 8 Aug 2019 17:26:02 +0200
Subject: [PATCH] =?UTF-8?q?=F0=9F=9A=A7=20Do=20not=20hardcode=20used=20mod?=
 =?UTF-8?q?els?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 README.md                    | 14 ++++++++++++++
 ocrd_calamari/ocrd-tool.json |  2 +-
 ocrd_calamari/recognize.py   |  2 +-
 3 files changed, 16 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index c5c85cd..f76e932 100644
--- a/README.md
+++ b/README.md
@@ -9,3 +9,17 @@ This offers a OCR-D compliant workspace processor for some of the functionality
 
 This processor only operates on the text line level and so needs a line segmentation (and by extension a binarized 
 image) as its input.
+
+Example Usage
+-------------
+
+~~~
+ocrd-calamari-recognize -p test-parameters.json -m mets.xml -I OCR-D-SEG-LINE -O OCR-D-OCR-CALAMARI
+~~~
+
+With `test-parameters.json`:
+~~~
+{
+    "checkpoint": "/path/to/some/trained/models/*.ckpt.json"
+}
+~~~
diff --git a/ocrd_calamari/ocrd-tool.json b/ocrd_calamari/ocrd-tool.json
index 449c372..5fc5073 100644
--- a/ocrd_calamari/ocrd-tool.json
+++ b/ocrd_calamari/ocrd-tool.json
@@ -18,7 +18,7 @@
         "OCR-D-OCR-CALAMARI"
       ],
       "parameters": {
-        "XXX checkpoint": {"type": "string", "format": "file", "cacheable": true},
+        "checkpoint": {"type": "string", "format": "file", "cacheable": true},
         "voter": {"type": "string", "default": "confidence_voter_default_ctc"}
       }
     }
diff --git a/ocrd_calamari/recognize.py b/ocrd_calamari/recognize.py
index f6e79f3..ad5f8ad 100644
--- a/ocrd_calamari/recognize.py
+++ b/ocrd_calamari/recognize.py
@@ -27,7 +27,7 @@ class CalamariRecognize(Processor):
     def _init_calamari(self):
         os.environ['TF_CPP_MIN_LOG_LEVEL'] = TF_CPP_MIN_LOG_LEVEL
 
-        checkpoints = glob('/home/mike/devel/experiments/train-calamari-gt4histocr/models/*.ckpt.json')  # XXX
+        checkpoints = glob(self.parameter['checkpoint'])
         self.predictor = MultiPredictor(checkpoints=checkpoints)
 
         voter_params = VoterParams()