@@ -39,8 +39,8 @@ below for an example of the required input crowns and image.
3939
4040|
4141 If you would just like to make predictions on an orthomosaic with a pre-trained
42- model from the ``model_garden ``, skip to part 4 (Generating landscape
43- predictions).
42+ model from the ``model_garden ``, skip to ` part 2.8 (Generating landscape
43+ predictions) <https://patball1.github.io/detectree2/tutorial.html#generating-landscape-predictions> `_ .
4444
4545The data preparation and training process for both RGB and multispectral data
4646is presented here. The process is similar for both data types but there are
@@ -727,8 +727,8 @@ predictions with lower confidence).
727727 crowns = stitch_crowns(tiles_path + " predictions_geo/" , 1 )
728728 clean = clean_crowns(crowns, 0.6 , confidence = 0 ) # set a confidence>0 to filter out less confident crowns
729729
730- By default the ``clean_crowns `` function will remove crowns with a condidence of less than 20%. The above 'clean' crowns
731- includes crowns of all confidence scores (0%-100%) as ``condidence =0 ``. It is likely that crowns with very low
730+ By default the ``clean_crowns `` function will remove crowns with a confidence of less than 20%. The above 'clean' crowns
731+ includes crowns of all confidence scores (0%-100%) as ``confidence =0 ``. It is likely that crowns with very low
732732confidence will be poor quality so it is usually preferable to filter these out. A suitable threshold can be determined
733733by eye in QGIS or implemented as single line in Python. ``Confidence_score `` is a column in the ``crowns `` GeoDataFrame
734734and is considered a tunable parameter.
@@ -753,4 +753,4 @@ Once we're happy with the crown map, save the crowns to file.
753753 clean.to_file(site_path + " /crowns_out.gpkg" )
754754
755755 View the file in QGIS or ArcGIS to see whether you are satisfied with the results. The first output might not be perfect
756- and so tweaking of the above parameters may be necessary to get a satisfactory output.
756+ and so tweaking of the above parameters may be necessary to get a satisfactory output.
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