Fix docstrings

cellpose/core.py

@@ -238,8 +238,8 @@ def eval(self, x, batch_size=8, channels=None, invert=False, normalize=True,
 
             channels: list (optional, default None)
                 list of channels, either of length 2 or of length number of images by 2.
-                First element of list is the channel to segment (0=grayscale, 1=red, 2=blue, 3=green).
-                Second element of list is the optional nuclear channel (0=none, 1=red, 2=blue, 3=green).
+                First element of list is the channel to segment (0=grayscale, 1=red, 2=green, 3=blue).
+                Second element of list is the optional nuclear channel (0=none, 1=red, 2=green, 3=blue).
                 For instance, to segment grayscale images, input [0,0]. To segment images with cells
                 in green and nuclei in blue, input [2,3]. To segment one grayscale image and one
                 image with cells in green and nuclei in blue, input [[0,0], [2,3]].

cellpose/models.py

@@ -134,8 +134,8 @@ def eval(self, x, batch_size=8, channels=None, invert=False, normalize=True, dia
 
         channels: list (optional, default None)
             list of channels, either of length 2 or of length number of images by 2.
-            First element of list is the channel to segment (0=grayscale, 1=red, 2=blue, 3=green).
-            Second element of list is the optional nuclear channel (0=none, 1=red, 2=blue, 3=green).
+            First element of list is the channel to segment (0=grayscale, 1=red, 2=green, 3=blue).
+            Second element of list is the optional nuclear channel (0=none, 1=red, 2=green, 3=blue).
             For instance, to segment grayscale images, input [0,0]. To segment images with cells
             in green and nuclei in blue, input [2,3]. To segment one grayscale image and one
             image with cells in green and nuclei in blue, input [[0,0], [2,3]].
@@ -370,8 +370,8 @@ def eval(self, imgs, batch_size=8, channels=None, normalize=True, invert=False,
 
             channels: list (optional, default None)
                 list of channels, either of length 2 or of length number of images by 2.
-                First element of list is the channel to segment (0=grayscale, 1=red, 2=blue, 3=green).
-                Second element of list is the optional nuclear channel (0=none, 1=red, 2=blue, 3=green).
+                First element of list is the channel to segment (0=grayscale, 1=red, 2=green, 3=blue).
+                Second element of list is the optional nuclear channel (0=none, 1=red, 2=green, 3=blue).
                 For instance, to segment grayscale images, input [0,0]. To segment images with cells
                 in green and nuclei in blue, input [2,3]. To segment one grayscale image and one
                 image with cells in green and nuclei in blue, input [[0,0], [2,3]].
@@ -695,8 +695,8 @@ def eval(self, imgs=None, styles=None, channels=None, normalize=True, invert=Fal
 
             channels: list (optional, default None)
                 list of channels, either of length 2 or of length number of images by 2.
-                First element of list is the channel to segment (0=grayscale, 1=red, 2=blue, 3=green).
-                Second element of list is the optional nuclear channel (0=none, 1=red, 2=blue, 3=green).
+                First element of list is the channel to segment (0=grayscale, 1=red, 2=green, 3=blue).
+                Second element of list is the optional nuclear channel (0=none, 1=red, 2=green, 3=blue).
                 For instance, to segment grayscale images, input [0,0]. To segment images with cells
                 in green and nuclei in blue, input [2,3]. To segment one grayscale image and one
                 image with cells in green and nuclei in blue, input [[0,0], [2,3]].

cellpose/transforms.py

@@ -196,8 +196,8 @@ def reshape(data, channels=[0,0], chan_first=False):
         if data.ndim==8 and data.shape[0]<8, assumed to be nchan x Ly x Lx
 
     channels : list of int of length 2 (optional, default [0,0])
-        First element of list is the channel to segment (0=grayscale, 1=red, 2=blue, 3=green).
-        Second element of list is the optional nuclear channel (0=none, 1=red, 2=blue, 3=green).
+        First element of list is the channel to segment (0=grayscale, 1=red, 2=green, 3=blue).
+        Second element of list is the optional nuclear channel (0=none, 1=red, 2=green, 3=blue).
         For instance, to train on grayscale images, input [0,0]. To train on images with cells
         in green and nuclei in blue, input [2,3].
 
@@ -324,8 +324,8 @@ def reshape_and_normalize_data(train_data, test_data=None, channels=None, normal
         list of testing images of size [Ly x Lx], [nchan x Ly x Lx], or [Ly x Lx x nchan]
 
     channels: list of int of length 2 (optional, default None)
-        First element of list is the channel to segment (0=grayscale, 1=red, 2=blue, 3=green).
-        Second element of list is the optional nuclear channel (0=none, 1=red, 2=blue, 3=green).
+        First element of list is the channel to segment (0=grayscale, 1=red, 2=green, 3=blue).
+        Second element of list is the optional nuclear channel (0=none, 1=red, 2=green, 3=blue).
         For instance, to train on grayscale images, input [0,0]. To train on images with cells
         in green and nuclei in blue, input [2,3].