spellcheck visualize.py

mrcnn/visualize.py

@@ -9,7 +9,6 @@ Written by Waleed Abdulla
 
 import os
 import sys
-import logging
 import random
 import itertools
 import colorsys
@@ -41,7 +40,7 @@ def display_images(images, titles=None, cols=4, cmap=None, norm=None,
     cols: number of images per row
     cmap: Optional. Color map to use. For example, "Blues".
     norm: Optional. A Normalize instance to map values to colors.
-    interpolation: Optional. Image interporlation to use for display.
+    interpolation: Optional. Image interpolation to use for display.
     """
     titles = titles if titles is not None else [""] * len(images)
     rows = len(images) // cols + 1
@@ -325,7 +324,7 @@ def plot_overlaps(gt_class_ids, pred_class_ids, pred_scores,
     gt_class_ids: [N] int. Ground truth class IDs
     pred_class_id: [N] int. Predicted class IDs
     pred_scores: [N] float. The probability scores of predicted classes
-    overlaps: [pred_boxes, gt_boxes] IoU overlaps of predictins and GT boxes.
+    overlaps: [pred_boxes, gt_boxes] IoU overlaps of predictions and GT boxes.
     class_names: list of all class names in the dataset
     threshold: Float. The prediction probability required to predict a class
     """
@@ -361,7 +360,7 @@ def plot_overlaps(gt_class_ids, pred_class_ids, pred_scores,
 def draw_boxes(image, boxes=None, refined_boxes=None,
                masks=None, captions=None, visibilities=None,
                title="", ax=None):
-    """Draw bounding boxes and segmentation masks with differnt
+    """Draw bounding boxes and segmentation masks with different
     customizations.
 
     boxes: [N, (y1, x1, y2, x2, class_id)] in image coordinates.
@@ -370,7 +369,7 @@ def draw_boxes(image, boxes=None, refined_boxes=None,
     masks: [N, height, width]
     captions: List of N titles to display on each box
     visibilities: (optional) List of values of 0, 1, or 2. Determine how
-        prominant each bounding box should be.
+        prominent each bounding box should be.
     title: An optional title to show over the image
     ax: (optional) Matplotlib axis to draw on.
     """