nchannel_viz = imgviz.nchannel2rgb(data["res4"], dtype=np.float32)
H, W = data["rgb"].shape[:2]
nchannel_viz = imgviz.resize(nchannel_viz, height=H, width=W)
nchannel_viz = (nchannel_viz * 255).round().astype(np.uint8)
# -------------------------------------------------------------------------
plt.figure(dpi=200)
plt.subplot(121)
plt.title("rgb")
plt.imshow(data["rgb"])
plt.axis("off")
plt.subplot(122)
plt.title("res4 (colorized)")
plt.imshow(nchannel_viz)
plt.axis("off")
img = imgviz.io.pyplot_to_numpy()
plt.close()
return img
if __name__ == "__main__":
from base import run_example
run_example(nchannel2rgb)
def flow2rgb():
data = imgviz.data.middlebury()
rgb = data["rgb"]
flowviz = imgviz.flow2rgb(data["flow"])
# -------------------------------------------------------------------------
plt.figure(dpi=200)
plt.subplot(121)
plt.title("image")
plt.imshow(rgb)
plt.axis("off")
plt.subplot(122)
plt.title("flow")
plt.imshow(flowviz)
plt.axis("off")
img = imgviz.io.pyplot_to_numpy()
plt.close()
return img
if __name__ == "__main__":
from base import run_example
run_example(flow2rgb)
# -------------------------------------------------------------------------
plt.figure(dpi=200)
plt.subplot(131)
plt.title("+img")
plt.imshow(labelviz_withimg)
plt.axis("off")
plt.subplot(132)
plt.title("loc=centroid")
plt.imshow(labelviz_withname1)
plt.axis("off")
plt.subplot(133)
plt.title("loc=lt")
plt.imshow(labelviz_withname2)
plt.axis("off")
img = imgviz.io.pyplot_to_numpy()
plt.close()
return img
if __name__ == "__main__":
from base import run_example
run_example(label2rgb)
# -------------------------------------------------------------------------
plt.figure(dpi=200)
plt.subplot(131)
plt.title("rgb")
plt.imshow(data["rgb"])
plt.axis("off")
plt.subplot(132)
plt.title("instances\n(bboxes)")
plt.imshow(insviz1)
plt.axis("off")
plt.subplot(133)
plt.title("instances\n(masks)")
plt.imshow(insviz2)
plt.axis("off")
img = imgviz.io.pyplot_to_numpy()
plt.close()
return img
if __name__ == "__main__":
from base import run_example
run_example(instances2rgb)
slice_ = slice(bbox[0], bbox[2]), slice(bbox[1], bbox[3])
rgb_crop = rgb[slice_]
mask_crop = mask[slice_]
crops.append(rgb_crop * mask_crop[:, :, None])
tiled = imgviz.tile(imgs=crops, border=(255, 255, 255))
# -------------------------------------------------------------------------
plt.figure(dpi=200)
plt.subplot(121)
plt.title("original")
plt.imshow(rgb)
plt.axis("off")
plt.subplot(122)
plt.title("instances")
plt.imshow(tiled)
plt.axis("off")
img = imgviz.io.pyplot_to_numpy()
plt.close()
return img
if __name__ == "__main__":
from base import run_example
run_example(tile)
img, loc="lt+", text="original", size=30, background=(255, 255, 255),
)
viz = imgviz.draw.text_in_rectangle(
viz, loc="lt+", text="markers", size=30, background=(255, 255, 255),
)
# -------------------------------------------------------------------------
plt.figure(dpi=200)
plt.subplot(121)
plt.title("original")
plt.imshow(img)
plt.axis("off")
plt.subplot(122)
plt.title("markers")
plt.imshow(viz)
plt.axis("off")
img = imgviz.io.pyplot_to_numpy()
plt.close()
return img
if __name__ == "__main__":
from base import run_example
run_example(draw)
rgb = data["rgb"]
H, W = rgb.shape[:2]
rgb_resized = imgviz.resize(rgb, height=0.1)
# -------------------------------------------------------------------------
plt.figure(dpi=200)
plt.subplot(121)
plt.title("rgb:\n{}".format(rgb.shape))
plt.imshow(rgb)
plt.axis("off")
plt.subplot(122)
plt.title("rgb_resized:\n{}".format(rgb_resized.shape))
plt.imshow(rgb_resized)
plt.axis("off")
img = imgviz.io.pyplot_to_numpy()
plt.close()
return img
if __name__ == "__main__":
from base import run_example
run_example(resize)
def depth2rgb():
data = imgviz.data.arc2017()
depthviz = imgviz.depth2rgb(data["depth"], min_value=0.3, max_value=1)
# -------------------------------------------------------------------------
plt.figure(dpi=200)
plt.subplot(121)
plt.title("rgb")
plt.imshow(data["rgb"])
plt.axis("off")
plt.subplot(122)
plt.title("depth (colorized)")
plt.imshow(depthviz)
plt.axis("off")
img = imgviz.io.pyplot_to_numpy()
plt.close()
return img
if __name__ == "__main__":
from base import run_example
run_example(depth2rgb)
#!/usr/bin/env python
import imgviz
def plot_trajectory():
data = imgviz.data.kitti_odometry()
img = imgviz.plot_trajectory(data["transforms"])
return img
if __name__ == "__main__":
from base import run_example
run_example(plot_trajectory)
