library("rplatypus")
found <- predict(fit, split = "test")
plot_boxes(read_images(files, size = NULL), found, min_score = 0.5)Draw boxes on images
Description
The detection counterpart of plot_masks(), and the function the 2020 package had under this name. Boxes arrive from predict() in each image’s own pixels, so they land on the picture without anything being undone first.
Usage
plot_boxes(
images,
boxes,
truth = NULL,
which = NULL,
min_score = drawing_style()\$box_min_score,
labels = NULL,
colours = drawing_style()\$box_colours,
size = 0.6,
text_size = 3
)
Arguments
images
|
An image stack from read_images(), or a single image.
|
boxes
|
Boxes to draw: one data frame as predict() returns per image, or a list of them - one per image in images. Columns xmin, ymin, xmax, ymax, and optionally name and score.
|
truth
|
Boxes to draw as ground truth, the same shape as boxes.
|
which
|
Which images to draw. Defaults to the first four, like plot_masks().
|
min_score
|
Drop predicted boxes below this confidence before drawing. The default follows a detector’s own score_threshold of 0.01, which is kept low so average precision can be computed over the whole ranking - and which puts far more boxes on a picture than anyone wants to look at. 0.5 is the usual choice for a figure.
|
labels
|
Row labels. Defaults to the names of boxes, which predict() sets to the sample keys.
|
colours
|
Named vector giving the colour for prediction and for truth.
|
size
|
Line width of a box. |
text_size
|
Size of the class label, or NULL to draw no labels.
|
Details
Predictions and truth can be drawn together, and when they are, the point is the comparison: truth in one colour, predictions in another, both on the same image. A detector that found the right number of objects in the wrong places and one that found the wrong number in the right places score similarly and look nothing alike.
Value
A ggplot object.