Add a plotting code snippet for predict_tile to getting_started page.

[bw4sz]

Everytime a user is confused about something I try to make some changes to the docs.

In

#566

user tried to do

# Perform prediction on the tile
result = model.predict_tile(raster_path, return_plot=True, patch_size=patch_size, patch_overlap=patch_overlap)

# Extract the predicted raster and boxes from the result
predicted_raster = result[0]
predicted_boxes = result[1]

# Load the original image for visualization
original_image = plt.imread(raster_path)

# Display the original image
plt.imshow(original_image)

# Plot the predicted bounding boxes on the original image
for _, box in predicted_boxes.iterrows():
    xmin, ymin, xmax, ymax = box["xmin"], box["ymin"], box["xmax"], box["ymax"]
    rect = plt.Rectangle((xmin, ymin), xmax - xmin, ymax - ymin, linewidth=1, edgecolor="r", facecolor="none")
    plt.gca().add_patch(rect)

So I made it clearer in getting started that just the image is return in predict_tile(return_plot=True), and we can call matplotlib directly.

[ethanwhite]

Looks like there's a bunch of extra history in here? Can you clean up it and then I'll give it a read quick read and get it in.

[bw4sz]

Closed for a new clean PR #573