getting_started.py

#!/usr/bin/env python

import pathlib

import matplotlib.pyplot as plt

_here: pathlib.Path = pathlib.Path(__file__).parent

# -----------------------------------------------------------------------------
# GETTING_STARTED {{
import numpy as np

import imgviz

# sample data of rgb, depth, class label and instance masks
data = imgviz.data.arc2017()

rgb = data["rgb"]
gray = imgviz.rgb2gray(rgb)

# colorize depth image with viridis colormap
depth = data["depth"]
depthviz = imgviz.colorize(depth, vmin=0.3, vmax=1)

# colorize label image
class_label = data["class_label"]
labelviz = imgviz.label2rgb(
    class_label, image=gray, label_names=data["class_names"], font_size=20
)

# instance bboxes
bboxes = data["bboxes"].astype(int)
labels = data["labels"]
masks = data["masks"] == 1
captions = [data["class_names"][l] for l in labels]
maskviz = imgviz.instances2rgb(gray, masks=masks, labels=labels, captions=captions)

# per-instance flags as pie glyphs
centers = np.array([np.argwhere(m).mean(axis=0) for m in masks])
flags = np.column_stack(
    (masks.sum(axis=(1, 2)) < 7000, centers[:, 1] < rgb.shape[1] / 2)
)
flagviz = imgviz.flags2rgb(
    gray, flags=flags, centers=centers, flag_names=["small", "left"], wedges="on"
)

# tile instance masks
insviz = [
    (rgb * m[:, :, None])[b[0] : b[2], b[1] : b[3]] for b, m in zip(bboxes, masks)
]
insviz = imgviz.tile(images=insviz, border=(255, 255, 255))
insviz = imgviz.resize(insviz, height=rgb.shape[0])

# tile visualization
tiled = imgviz.tile(
    [rgb, depthviz, labelviz, maskviz, flagviz, insviz],
    row=2,
    col=3,
    border=(255, 255, 255),
    border_width=5,
)
# }} GETTING_STARTED
# -----------------------------------------------------------------------------

out_file: pathlib.Path = _here / "assets/getting_started.jpg"
imgviz.io.imsave(out_file, tiled)

img = imgviz.io.imread(out_file)
plt.imshow(img)
plt.axis("off")
plt.show()