I would like to view an image interactively in F# jupyter notebook similarly to how I can do this in python:
from PIL import Image
Image.open("image.png")
and that shows an image.
Is there a straightforward way to do this?
EmguCV, OpenCVSharp and ImageSharp all don't work together with the plotting libraries like Plotly.NET or XPlot to provide this functionality so I can't get something like matplotlib's pyplot.imshow.
In a notebook, you can display an image like this:
#!fsharp
// Load iamge
let data = File.ReadAllBytes("E:\\Downloads\\myImage.png");
// Convert so we can display it as HTML
let b64 = Convert.ToBase64String(data);
HTML($"<img src=\"data:image/png;base64,{b64}\"></img>") // last call without ; gets displayed
// Alt, this one has a semicolon:
// display(HTML($"<img src=\"data:image/png;base64,{b64}\"></img>"));
Related
Pimoroni has an example that grabs a jpg online and displays it on one of their Inky e-ink displays.
I am wondering if it is possible to do the same thing with an Adafruit MagTag using CircuitPython. In the latest version of CircuitPython, there are BitmapTools that seem like they may be able to convert a .jpg file into a .bmp that is dithered appropriately for an e-ink display. There just doesn't seem to be any example code that shows how to do this.
Is it possible?
Any examples of using bitmaptools.dither(dest_bitmap: displayio.Bitmap, source_bitmapp: displayio.Bitmap, source_colorspace: displayio.Colorspace, algorithm: DitherAlgorithm = DitherAlgorithm.Atkinson)→ None
The code would look a little like this ...
import board
import displayio
import adafruit_imageload
display = board.DISPLAY
bitmap, palette = adafruit_imageload.load("/purple.bmp",
bitmap=displayio.Bitmap,
palette=displayio.Palette)
# Create a TileGrid to hold the bitmap
tile_grid = displayio.TileGrid(bitmap, pixel_shader=palette)
# Create a Group to hold the TileGrid
group = displayio.Group()
# Add the TileGrid to the Group
group.append(tile_grid)
# Add the Group to the Display
display.show(group)
# Loop forever so you can enjoy your image
while True:
pass
... but we would pull in a .jpg and have to do a little work on it so that the greyscale image becomes a dithered .bmp.
Any ideas?
I can pull in a .jpg. I just can't process it and display.
I was also looking for an API or something that might be able to pre-process the image from https://placekitten.com so that it would already be a dithered bitmap file. Does that exist?
I'm creating an interactive notebook by using the library ipywidgets. I'm interested in SelectionRangeSlider widget. In documentation, we have a simple example :
import datetime
dates = [datetime.date(2015, i, 1) for i in range(1, 13)]
options = [(i.strftime('%b'), i) for i in dates]
widgets.SelectionRangeSlider(
options=options,
index=(0, 11),
description='Months (2015)',
disabled=False
)
That creates folowing slider :
I would like to change the position of the current values selected, putting it at the bottom, like that:
I've read documentation but I couldn't find a way to do this. Anyone knows if it's even possible to change this position? Thanks a lot.
Others have done things like this by setting readout=False and then making a separate widget to display the updated values. See these examples:
workaround offered by marcusreaiche for SelectionRangeSlider
TheIdealis' answer to 'Custom formatting for ipywidgets IntSlider'
I want to be able to take the normal output for an object and insert it into custom HTML components. Specifically, I want to allow things like putting several charts into an accordion UI element, or having hidden dataframes that are shown when a button is clicked. Is there a way to get the HTML that would normally be output, wrap it in my own HTML components, and then output that?
I have tried:
import IPython.display as dp
dp.display(dp.HTML('<div id="mycontainer">')) # Just a simple div,
# but ideally would be e.g. bootstrap component
dp.display(my_obj) # my_obj here could be a (potentially styled) dataframe
# or a plot from matplotlib/altair/etc.
dp.display(dp.HTML('</div>'))
However, the unclosed <div> just gets automatically closed, so my_obj doesn't get inserted into it. Some objects have _repr_html_(), but not all do (particularly charts). Still, Jupyter obviously has some way of extracting HTML from arbitrary objects.
It seems from trying to read the source that nbconvert is used to change the object to HTML, but I'm not sure if A) I'm understanding that right or B) how to get HTML from an arbitrary object that is not in a notebook node object (or how to construct such an object myself).
this seams to work for me :
from IPython.core.display import display, HTML
myString = 'Hello, world!'
prependHtmlTag = '<h1>'
appendHtmlTag = '</h1>'
display(HTML(prependHtmlTag + myString + appendHtmlTag )
just put any html formated string in the display(HTML([yourString]))
I am trying to understand how to use callbacks for the new Bokeh EditTools (e.g. BoxEditTool or similar).
Specifically, I would like to see on the server side the coordinates of the newly added rectangles, but I am not sure how to do this.
I am running the following server app
def app( curdoc ):
TOOLS = "tap"
p = figure(title="Some Figure", tools=TOOLS)
source = ColumnDataSource( {'xs':[1], 'ys':[1], 'width':[.1],'height':[.1]})
r = p.rect('xs','ys','width','height', source=source)
p.add_tools(BoxEditTool( renderers = [r]))
def cb( attr, old, new ):
print(r.data_source.data)
r.data_source.on_change("selected", cb)
curdoc.add_root(column(p))
I do get printout from the cb when I select different rectangles, but the r.data_source.data does not change
Thanks for the help!
The behaviour you're describing is actually a bug in the current distribution of Bokeh (0.13.0). You can read more in the google groups discussion. To summarize, there was a problem with the synchronization of the data at the server, it has been resolved and merged.
Note that the on_change method for the Rect glyph ColumnDataSource should watch the 'data' attribute and not 'selected'.
Other than that your snippet looks good, but if you want a working example you can look here. This code is under development but at this stage it reads images and allows drawing ROIs, as well as a simple mechanism for serializing and loading them.
Hope this helps!
I have generated QR code in openerp using python. It's working successfully. But I Want to display name on qrcode Image. I tried to create in many way, but still i can not get solutions
Python:
a="Client Id: "+vals['client_id']+"\n"+"Client Name: "+vals['name']
qr = QRCode(version=20, error_correction=ERROR_CORRECT_L, box_size=2, border=2)
qr.add_data(a)
qr.make()
im = qr.make_image()
im.save("/home/cryosave_qrcodes/"+vals['client_id']+".png")
Generated QRcode this done by me
But I want show name on qrcode. like following image.
Generated
I tried to create in many way, but still i can not get solutions
Please anyone answer me
This is one way:
We can add text on qrcode, after qr generate.
from PIL import Image
from PIL import ImageFont
from PIL import ImageDraw
img = Image.open('sample.jpg')
#img = Image.new("RGBA",(100,150),(0,0,0))
draw = ImageDraw.Draw(img)
font = ImageFont.truetype("/home/john/coda/Coda-Heavy.ttf", 20)
# draw.text((x, y),"Sample Text",(r,g,b))
draw.text((10,0),"Sample Text",(100,100,100), font=font)
img.save('/home/john/test.jpg')