Removed label parameter from auto_correct_color function

docs/transform_auto_correct_color.md

@@ -5,13 +5,12 @@ in the RGB space after automatic detection of a color card within the image. A o
 [plantcv.transform.detect_color_card](transform_detect_color_card.md), [plantcv.transform.std_color_matrix](std_color_matrix.md),
 [plantcv.transform.get_color_matrix](get_color_matrix.md), and [plantcv.transform.affine_color_correction](transform_affine_color_correction.md).
 
-**plantcv.transform.auto_correct_color**(*rgb_img, label=None, color_chip_size=None, roi=None, \*\*kwargs*)
+**plantcv.transform.auto_correct_color**(*rgb_img, color_chip_size=None, roi=None, \*\*kwargs*)
 
 **returns** corrected_img
 
 - **Parameters**
     - rgb_img          - Input RGB image data containing a color card.
-    - label            - Optional label parameter, modifies the variable name of observations recorded. (default = `pcv.params.sample_label`)
     - color_chip_size  - Type of color card to be detected, (case insensitive, either "classic", "passport", "nano", or "cameratrax", by default `None`). Or provide `(width, height)` of your specific color card in millimeters. If set then size scalings parameters `pcv.params.unit`, `pcv.params.px_width`, and `pcv.params.px_height` are automatically set, and utilized throughout linear and area type measurements stored to `Outputs`.
     - roi              - Optional rectangular ROI as returned by [`pcv.roi.rectangle`](roi_rectangle.md) within which to look for the color card. (default = None)
 	- **kwargs         - Other keyword arguments passed to `cv2.adaptiveThreshold` and `cv2.circle`.

docs/updating.md

@@ -59,15 +59,20 @@ automatically. Alternatively, you can run `pip install -e .` to reinstall the pa
 
 ### Breaking changes between v4 and v5 <a name="breaking-changes"></a>
 
-#### plantcv.report_size_marker_area
+#### plantcv.spectral_index.egi
+
+Renamed the input parameter `rgb_img` to `img` to reflect the flexibility of using the [EGI index function](spectral_index.md)
+with RGB and hyperspectral data.
+
+#### plantcv.transform.auto_correct_color
 
 Removed `label` parameter since size marker data is now stored as metadata in the
 [`Outputs` class](outputs.md) and does not need to be labeled per sample.
 
-#### plantcv.spectral_index.egi
+#### plantcv.transform.detect_color_card
 
-Renamed the input parameter `rgb_img` to `img` to reflect the flexibility of using the [EGI index function](spectral_index.md)
-with RGB and hyperspectral data.
+Removed `label` parameter since size marker data is now stored as metadata in the
+[`Outputs` class](outputs.md) and does not need to be labeled per sample.
 
 #### plantcv.visualize.time_lapse_video
 
@@ -1266,6 +1271,7 @@ pages for more details on the input and output variable types.
 * pre v4.6: NA
 * post v4.6: corrected_img = **plantcv.transform.auto_correct_color**(*rgb_img, label=None, \*\*kwargs*)
 * post v4.9: corrected_img = **plantcv.transform.auto_correct_color**(*rgb_img, label=None, color_chip_size=None, roi=None, \*\*kwargs*)
+* post v5.0: corrected_img = **plantcv.transform.auto_correct_color**(*rgb_img, color_chip_size=None, roi=None, \*\*kwargs*)
 
 #### plantcv.transform.correct_color
 

plantcv/plantcv/transform/auto_correct_color.py

@@ -1,18 +1,14 @@
 # Automatically detect a color card and color correct to standard chip values
-
-from plantcv.plantcv import params, deprecation_warning
 from plantcv.plantcv.transform.detect_color_card import detect_color_card
 from plantcv.plantcv.transform.color_correction import get_color_matrix, std_color_matrix, affine_color_correction
 
 
-def auto_correct_color(rgb_img, label=None, color_chip_size=None, roi=None, **kwargs):
+def auto_correct_color(rgb_img, color_chip_size=None, roi=None, **kwargs):
     """Automatically detect a color card.
     Parameters
     ----------
     rgb_img : numpy.ndarray
         Input RGB image data containing a color card.
-    label : str, optional
-        modifies the variable name of observations recorded (default = pcv.params.sample_label).
     color_chip_size: str, tuple, optional
         "passport", "classic", "cameratrax"; or tuple formatted (width, height)
         in millimeters (default = None)
@@ -32,13 +28,6 @@ def auto_correct_color(rgb_img, label=None, color_chip_size=None, roi=None, **kw
     numpy.ndarray
         Color corrected image
     """
-    # Set label to params.sample_label if None
-    if label is None:
-        label = params.sample_label
-    deprecation_warning(
-        "The 'label' parameter is no longer utilized, since color chip size is now metadata. "
-        "It will be removed in PlantCV v5.0."
-        )
     labeled_mask = detect_color_card(rgb_img=rgb_img, color_chip_size=color_chip_size, roi=roi, **kwargs)
     _, card_matrix = get_color_matrix(rgb_img=rgb_img, mask=labeled_mask)
     std_matrix = std_color_matrix(pos=3)