# Show

Show is intended to show numpy-arrays/PIL-images

from torch_snippets import *

im = np.random.rand(100, 100)
show(im)

show(im, sz=4)

Show will even accept pytorch Tensors and show them as images, even if they are on GPU and have channels first

It can accept bounding boxes as tuples of (x,y,X,Y) which can be integers (i.e., absolute coordinates) or fractions (between \([0,1]\)). There’s provision to give bb_colors and texts as well

show(im, bbs=[(0, 0, 0.5, 0.35), (0, 0.2, 0.35, 0.95)])

show(im, bbs=[(0, 0, 0.5, 0.35), (0, 0.2, 0.35, 0.95)], bb_colors=["r", "g"])

show(
    im,
    bbs=[(0, 0, 0.5, 0.35), (0, 0.2, 0.35, 0.95)],
    bb_colors=["b", "g"],
    texts=["bb1", "bb2"],
    sz=10,
    text_sz=15,
)
Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).

Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).

Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).

It can also read a file path directly and display the image

show("../docs/images/company_logo_big.png", sz=3)

if the input is not an image or string, show will simply display the given input as intended by jupyter notebook

df = pd.DataFrame(np.random.rand(100, 2))
show(df)
0 1
0 0.242478 0.929517
1 0.971890 0.506750
2 0.139826 0.753227
3 0.864799 0.524166
4 0.563610 0.135709
... ... ...
95 0.379874 0.639771
96 0.993731 0.811343
97 0.621683 0.763054
98 0.844509 0.915156
99 0.314272 0.392418

100 rows × 2 columns

chart = Chart(df).mark_circle().encode(x="0:Q", y="1:Q")
show(chart.interactive())

Subplots

display multiple images Subplots is a wapper around plt.subplots that accepts a list of images, number of columns as nc and additional kwargs

from torch_snippets import subplots

ims = [np.random.rand(100, 100) for _ in range(16)]

subplots(ims, nc=4, sz=5)

subplots(
    ims,
    nc=2,
    sz=(5, 15),
    suptitle="RANDOM IMAGES",
    titles=[f"random_{i}" for i in range(16)],
)