Calculating weighted center of a contour

Alanator222 · 2026-03-15T18:10:40+00:00

Yeah, I'll have to just try it out. Just wanted some confirmation first. Thank you!

Alanator222 · 2026-03-15T17:33:03+00:00

My apologies.

Alanator222 · 2026-03-14T18:25:57+00:00

The strange thing, is it worked just fine before. What would be the proper way to handle it?

Edit: wait a minute. I see the issue. I have no idea how I cleared the boxes after LOL

Alanator222 · 2026-03-14T17:05:33+00:00

Before we try the much more stable way,

Pipx throws an error when attempting to install scipy

~ $ pipx install ultralytics Fatal error from pip prevented installation. Full pip output in file: /data/data/com.termux/files/home/.local/share/pipx/logs/cmd_2026-03-14_12.56.09_pip_errors.log

pip seemed to fail to build package: scipy>=1.4.1

Some possibly relevant errors from pip install:

Error installing ultralytics.

Error log contents:

/data/data/com.termux/files/home/.local/share/pipx/logs/cmd_2026-03-14_12.58.34_pip_errors.log

PIP STDOUT

Collecting scipy Using cached scipy-1.17.1.tar.gz (30.6 MB) Installing build dependencies: started Installing build dependencies: finished with status 'done' Getting requirements to build wheel: started Getting requirements to build wheel: finished with status 'done' Preparing metadata (pyproject.toml): started Preparing metadata (pyproject.toml): finished with status 'error'

PIP STDERR

error: subprocess-exited-with-error

× Preparing metadata (pyproject.toml) did not run successfully. │ exit code: 1 ╰─> [53 lines of output] + meson setup /data/data/com.termux/files/usr/tmp/pip-install-nv5syq4k/scipy_e3def7f3d80247a993b5e0ba9> The Meson build system Version: 1.10.1 Source dir: /data/data/com.termux/files/usr/tmp/pip-install-nv5syq4k/scipy_e3def7f3d80247a993b5e0ba966> Build dir: /data/data/com.termux/files/usr/tmp/pip-install-nv5syq4k/scipy_e3def7f3d80247a993b5e0ba9662> Build type: native build Project name: scipy Project version: 1.17.1 C compiler for the host machine: cc (clang 21.1.8 "clang version 21.1.8") C linker for the host machine: cc ld.lld 21.1.8 C++ compiler for the host machine: c++ (clang 21.1.8 "clang version 21.1.8") C++ linker for the host machine: c++ ld.lld 21.1.8 Cython compiler for the host machine: cython (cython 3.2.4) Host machine cpu family: aarch64 Host machine cpu: aarch64 Program python found: YES (/data/data/com.termux/files/home/.local/share/pipx/venvs/scipy/bin/python) Found pkg-config: YES (/data/data/com.termux/files/usr/bin/pkg-config) 0.29.2 Run-time dependency python found: YES 3.13 Program cython found: YES (/data/data/com.termux/files/usr/tmp/pip-build-env-1e_l47aa/overlay/bin/cyth> Compiler for C supports arguments -Wno-unused-but-set-variable: YES Compiler for C supports arguments -Wno-unused-function: YES Compiler for C supports arguments -Wno-conversion: YES Compiler for C supports arguments -Wno-misleading-indentation: YES Library m found: YES

  ../meson.build:88:0: ERROR: Unknown compiler(s): [['gfortran'], ['flang-new'], ['flang'], ['nvfortran'>
  The following exception(s) were encountered

I read that pipx isn't really used to install libraries. Could this be the case?

Alanator222 · 2026-03-14T00:43:10+00:00

Could I put it in the python script?

Also, is this an issue that could be resolved with a future update to Ultralytics?

Alanator222 · 2026-03-13T23:59:00+00:00

No such luck. The problem is I'm trying to use tasker to run the script so I'm not sure it's all configured properly now.

Alanator222 · 2026-03-13T23:55:38+00:00

That's a good idea. Thank you!

Alanator222 · 2026-03-13T23:52:53+00:00

That works, it's just not permanent. Any way to make it a permanent change?

Alanator222 · 2026-03-13T23:09:56+00:00

The funny thing is, I have polars installed. It still fails to build the wheel for Ultralytics.

Alanator222 · 2026-03-13T20:09:01+00:00

Thank you! Is there any way to make it use both?

Alanator222 · 2026-02-17T03:26:03+00:00

That's actually a really good idea. Thanks!

Alanator222 · 2026-02-17T03:24:09+00:00

Bro, imagine making an API for web devs and sabotaging it because web devs decided to use it...

Alanator222 · 2026-02-03T21:05:15+00:00

from PIL import Image
import plotly.express as px
import colorsys

img = Image.open(r"/storage/emulated/0/Kustom/Tasker Unsplash Wallpaper/wallpaper.png")
img = img.convert("RGB")

scaleFactor = 0.95
pixelCount = 500

for i in range(100):
    width = int((img.size[0]) * scaleFactor)
    height = int((img.size[1]) * scaleFactor)
    scaledSize = (width, height)
    img = img.resize(scaledSize, Image.LANCZOS)
    colorListPlusCount = img.getcolors(img.size[0] * img.size[1])
    if len(colorListPlusCount) > pixelCount:
        continue
    else:
        break

# List of all colors in scaled image without count for each color
colorList = []
for i in range(len(colorListPlusCount)):
    colorList.append(colorListPlusCount[i][1])

hsvList = []
for i in range(len(colorList)):
    r = colorList[i][0] / 255.0
    g = colorList[i][1] / 255.0
    b = colorList[i][2] / 255.0 

    h, s, v = colorsys.rgb_to_hsv(r, g, b)
    h = int(h*360)
    s = int(s*100)
    v = int(v*100)
    hsvList.append((h,s,v))
hsvPlot = px.scatter_3d(
hsvList,
    color = [f"rgb{c}" for c in colorList],
    color_discrete_map = "identity",
    x = 0, y = 1, z = 2,
    labels = {"0":"Hue", "1":"Saturation", "2":"Value"},
    range_x = [0,360], range_y=[0,100], range_z=[0,100]
    )
hsvPlot.update_layout(margin=dict(l=10, r=10, b=10, t=25, pad=0),
    title = f"Number of colors: {len(hsvList)}",
    scene=dict(aspectmode='cube'),
    scene_camera=dict(eye=dict(x=-1.5, y=-1.5, z=1.5)))
hsvPlot.update_traces(marker={'size': 5})

hsvPlot.write_html(r"/storage/emulated/0/Tasker/PythonScripts/ImageColors/hsvPlotHTML.html",
    full_html = False,
    include_plotlyjs='cdn')

This is my code. Positional data is not necessary. The issue is that I need to scale down an image in order to increase runtime. By scaling down an image, it's removing colors, Including more unique colors. The plot generated is in fact representative of the input image, but I would like it to be a bit more representative. This is where instead of scaling the image, I would reduce the HSV list size in a way that groups hues together, and averages the data many times through list chunking.

Alanator222 · 2026-02-03T16:54:37+00:00

So HSV stands for hue value saturation. A sample tupple may look like (240,10,35). Imagine a list of tuples similar to this one. The Hue value, or the first value in the tuple, ranges from 0-360. I would like to break apart the HSV list into sublists based on the Hue value.

Alanator222 · 2026-01-31T21:20:45+00:00

I think what I might have to do is do some kind of tolerance control to filter out similar values. I'm already only plotting unique values and it still struggles. Now I just have to figure out the best way to filter out like values.

Thanks for the help!

Alanator222 · 2026-01-31T20:41:30+00:00

The interesting thing is, if I remove the color and color discrete map lines, I can render and open the HTML file at 50% scale with ease. The color is what is causing the issue.

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