feat: Add pipeline timings and toggle visualization, establish debug settings (#183)

* Add settings to turn visualization on or off

Signed-off-by: Christoph Auer <cau@zurich.ibm.com>

* Add profiling code to all models

Signed-off-by: Christoph Auer <cau@zurich.ibm.com>

* Refactor and fix profiling codes

Signed-off-by: Christoph Auer <cau@zurich.ibm.com>

* Visualization codes output PNG to debug dir

Signed-off-by: Christoph Auer <cau@zurich.ibm.com>

* Fixes for time logging

Signed-off-by: Christoph Auer <cau@zurich.ibm.com>

* Optimize imports

Signed-off-by: Christoph Auer <cau@zurich.ibm.com>

* Update lockfile

Signed-off-by: Christoph Auer <cau@zurich.ibm.com>

* Add start_timestamps to ProfilingItem

Signed-off-by: Christoph Auer <cau@zurich.ibm.com>

---------

Signed-off-by: Christoph Auer <cau@zurich.ibm.com>

docs/examples/batch_convert.py

@@ -8,6 +8,7 @@ import yaml
 
 from docling.datamodel.base_models import ConversionStatus
 from docling.datamodel.document import ConversionResult
+from docling.datamodel.settings import settings
 from docling.document_converter import DocumentConverter
 
 _log = logging.getLogger(__name__)
@@ -113,6 +114,12 @@ def main():
     # docs = [DocumentStream(name="my_doc.pdf", stream=buf)]
     # input = DocumentConversionInput.from_streams(docs)
 
+    # # Turn on inline debug visualizations:
+    # settings.debug.visualize_layout = True
+    # settings.debug.visualize_ocr = True
+    # settings.debug.visualize_tables = True
+    # settings.debug.visualize_cells = True
+
     doc_converter = DocumentConverter()
 
     start_time = time.time()