draw image as grid on notebook

simply check below code and example result.

.

def image_grid(imgs, rows, cols):

assert len(imgs) == rows*cols

w, h = imgs[0].size

grid = Image.new('RGB', size=(cols*w, rows*h))

grid_w, grid_h = grid.size

for i, img in enumerate(imgs):

grid.paste(img, box=(i%cols*w, i//cols*h))

return grid

# read image prompt

image = Image.open("assets/images/statue.png")

depth_map = Image.open("assets/structure_controls/depth.png")

image_grid([image.resize((256, 256)), depth_map.resize((256, 256))], 1, 2)

..

Thank you.

Output exceeds the size limit. Open the full output data in a text editor

Jupyter notebook 

unlimited size of line:

Code #1

from IPython.core.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))

Code #2

from IPython.core.interactiveshell import InteractiveShell

InteractiveShell.ast_node_interactivity = "all"

Thank you.

🙇🏻‍♂️

Drawing rectangle and text on image using cv2, pillow (python code)

 Draw text & rectangle on image

Ver.1 pillow

.

from PIL import Image, ImageDraw, ImageFont

import json

# Display the image in Jupyter Notebook

from IPython.display import display

def draw_rect_text(base_dir, json_fn):

# Load JSON file

with open(base_dir+json_fn, 'r') as f:

data = json.load(f)

# Load image

img = Image.open(base_dir+data['image_file_name']+'.jpg')

# Create a draw object

draw = ImageDraw.Draw(img)

# Loop through OCR data and draw rectangles and text

for ocr in data['ocr']:

left = ocr['left']

top = ocr['top']

right = ocr['right']

bottom = ocr['bottom']

text = ocr['text']

# Draw rectangle

draw.rectangle((left, top, right, bottom), outline=(255, 0, 0), width=2)

# Draw text

font = ImageFont.truetype('arial.ttf', size=14)

text_size = draw.textsize(text, font=font)

text_x = left

text_y = top - text_size[1]

draw.text((text_x, text_y), text, font=font, fill=(255, 0, 0))

# Display image

# img.show() #now window

display(img) #display on notebook

..

Ver .2 cv2

.

import cv2

import json

def draw_rect_text(base_dir, json_fn):

# Load JSON file

with open(base_dir+json_fn, 'r') as f:

data = json.load(f)

print(base_dir+data['image_file_name']+'.jpg')

# Load image

img = cv2.imread(base_dir+data['image_file_name']+'.jpg')

# Loop through OCR data and draw rectangles and text

for ocr in data['ocr']:

left = ocr['left']

top = ocr['top']

right = ocr['right']

bottom = ocr['bottom']

text = ocr['text']

# Draw rectangle

cv2.rectangle(img, (left, top), (right, bottom), (0, 0, 255), 2)

# Draw text

font = cv2.FONT_HERSHEY_SIMPLEX

font_scale = 0.5

thickness = 1

text_size = cv2.getTextSize(text, font, font_scale, thickness)[0]

text_x = left

text_y = top - text_size[1]

cv2.putText(img, text, (text_x, text_y), font, font_scale, (0, 0, 255), thickness)

# Display image

cv2.imshow('Image', img)

cv2.waitKey(0)

cv2.destroyAllWindows()

..

Thank you.

🙇🏻‍♂️

www.marearts.com

IProgress not found. Please update jupyter and ipywidgets.

 

IProgress not found. Please update jupyter and ipywidgets.

..

pip install ipywidgets

jupyter nbextension enable --py widgetsnbextension

..

thx

jupyter notebook to python py

 

run this command

>jupyter nbconvert your_notebook_name.ipynb --to python

thank you.

python notebook clear output

 

from IPython.display import clear_output

for i in range(10):
    clear_output(wait=True)
    print("Hello World!")