From b31c5c0bb9eb409145a18213e341fbce9bf5b0e7 Mon Sep 17 00:00:00 2001 From: mbw Date: Sat, 2 Mar 2024 09:41:37 +0000 Subject: [PATCH] Update docker file and docs Signed-off-by: mbw --- Dockerfile | 31 ++- README.md | 40 ++- aprox.txt => abridged-cie-cmf.txt | 0 colour_system.py | 140 ++++++----- main.py | 64 ++++- poetry.lock | 399 ++++++++++++++++++++++++++++++ pyproject.toml | 20 ++ requirements.txt | 4 - spectrum.py | 13 - 9 files changed, 601 insertions(+), 110 deletions(-) rename aprox.txt => abridged-cie-cmf.txt (100%) create mode 100644 poetry.lock create mode 100644 pyproject.toml delete mode 100644 requirements.txt delete mode 100644 spectrum.py diff --git a/Dockerfile b/Dockerfile index 1fe550f..008b15b 100644 --- a/Dockerfile +++ b/Dockerfile @@ -1,10 +1,29 @@ -FROM python:3.9 -WORKDIR /code +FROM python:3.11-buster as builder + +RUN pip install poetry==1.8.1 + +ENV POETRY_NO_INTERACTION=1 \ + POETRY_VIRTUALENVS_IN_PROJECT=1 \ + POETRY_VIRTUALENVS_CREATE=1 \ + POETRY_CACHE_DIR=/tmp/poetry_cache + +WORKDIR /app + +COPY pyproject.toml poetry.lock ./ +RUN touch README.md -COPY ./requirements.txt /code/requirements.txt -RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt -COPY ./aprox.txt /code +RUN --mount=type=cache,target=$POETRY_CACHE_DIR poetry install --no-root + +FROM python:3.11-slim-buster as runtime + +ENV VIRTUAL_ENV=/app/.venv \ + PATH="/app/.venv/bin:$PATH" + +COPY --from=builder ${VIRTUAL_ENV} ${VIRTUAL_ENV} +WORKDIR /code +COPY ./abridged-cie-cmf.txt /code +COPY ./cie-cmf.txt /code COPY ./colour_system.py /code COPY ./main.py /code -CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "3000"] \ No newline at end of file +CMD ["hypercorn", "main:app", "--bind", "0.0.0.0:3000"] \ No newline at end of file diff --git a/README.md b/README.md index db38b71..a07996b 100644 --- a/README.md +++ b/README.md @@ -1,20 +1,23 @@ # Spectrum RGB -**_Essential REST API service to convert spectrum to RGB_** +**_Essential REST API service to convert Spectrum to RGB & Colour Temperature to RGB_** - Python REST API using [FastAPI](https://fastapi.tiangolo.com/) - Docker image via github actions (arm and x86) -- Tailored for frequencies from [AdaFruti AS7341](https://learn.adafruit.com/adafruit-as7341-10-channel-light-color-sensor-breakout) +- Tailoured for frequences from [AdaFruti AS7341](https://learn.adafruit.com/adafruit-as7341-10-channel-light-color-sensor-breakout) +- Generate RGB values for specific colour temperature ## Theory -Firstly, colo[u]r theory is a large topic, very very large - you have been warned! +Firstly, colo[u]r(1) theory is a large and complex topic. Add in how your brain perceives colours. You have been warned! -The idea was to take the spectrum values from the Adafruit AS7341 and convert that to a RGB value that can be sent to a tri-colour LED or strip. +Overacall context for this was to take the the sprectrum values from the [Adafruit AS7341](https://www.adafruit.com/product/4698) and convert that to a RGB value that can be sent to a tri-colour LED or strip. There is a tri-colour LED strip in the office that I wanted to control. -This is link in with an outdoor light sensor and the WS8212B led strip in the office. +Idea being that the colour of the LED would reflect the outside colour; by adding in the ability to convert colour temperature to RGB is a bonus. -### AS7341 +Specifically the I'm aiming for 'emperically perceptually equivalent'. (_i.e._ it looked ok-ish). This will only ever be an aproximation; but this is not intended for serious scientific use. + +## AS7341 This outputs counts for a number of frequencies: 415nm, 445nm, 480nm, 515nm, 555nm, 590nm, 630nm, 680nm In addition there near-ir counts, but I've stuck with the visible counts. @@ -23,22 +26,24 @@ As an example here's the distribution of these frequencies currently getting. ![ The sensor gets these values to a MQTT topic, so the Node-Red flow is processing these already; but it need to get the RGB value to send to the LEDs. -### Spectrum to RGB Conversion - -Being a photographer I knew that the theory here was immense, so knew to be careful looking for the conversion algorithm. Specifically the aim was to get a 'empirically perceptually equivalent'. (_i.e._ it looked ok-ish). +## Spectrum to RGB Conversion A [superb post on the SciPython](https://scipython.com/blog/converting-a-spectrum-to-a-colour/) site provided the theory and also some python code that was very close to what was needed. This specifically calculates the RGB for given colour temperature; colour temperature was converted to a spectrum of wave lengths, and then to RGB. The code here is to a very large extent taken from the code on that page; with two changes: -- I didn't need the colour temperature to spectrum function -- The spectrum it uses is frequencies from 380nm increase in 5nm increments. With only 8 entires in the AS7341 spectrum this need some changes. The `cie-cmf.txt` file was reduced to just the frequencies I had (the `aprox.txt` file). +- The sprectrum it uses is frequencies from 380nm increase in 5nm increments. With only 8 entires in the AS7341 spectrum this need some changes. The `cie-cmf.txt` file was reduced to just the frequencies I had (the `abrdiged-cie-cmf.txt` file). Suspect that this is a source of loss of accuracy. How wide the frequency response of the sensor is I don't know. + +- Some refectoring to make it easier to handle -### REST API + +## REST API Using the [FastAPI](https://fastapi.tiangolo.com/) it was straightforward to create a simple Python REST api that would accept a simple JSON structure with the frequency counts. Process this via the algorithm above, and return RGB values (both in hex and int styles) in a JSON structure. -That's it really, built into a docker image via github actions - ready to be deployed into my [Portainer](https://www.portainer.io/) configuration. +Similarly the API can is also converting a colour temperature to a spectrum for conversion to RGB. This is using the full range as per the original code. + +That's it really, built into a docker image via github actions - ready to be deployed into my Portainer configuration. ## Deployment @@ -48,3 +53,12 @@ Briefly, the system is configured as follows: - RaspberryPi I've called the 'EdgeController' receives the 433Mhz signal, and forwards on via MQTT - Node-RED flow triggered by MQTT. This takes the spectrum count array, passes to this SpectrumRGB service, and then publishes on MQTT - PicoW is subscribed to MQTT and does the LED strip control + +## Development Notes + +- Using [Poetry](https://python-poetry.org/) for handling the depdencies of the python project; currently seems to be leading tool and handles most situations well. +- As above, this is using FastAPI. Previously used [uvicorn](https://www.uvicorn.org/), but recently I've [had issues](https://stackoverflow.com/questions/76371195/how-to-make-a-json-post-request-from-java-client-to-python-fastapi-server/78076530#78076530) with that and HTTP/2, so using [hypercord](https://pgjones.gitlab.io/hypercorn/). Purely a pragmatic decision. + +## Notes + +[^1]: Yes I'm British, so it will be spelt with a u from now on :-) diff --git a/aprox.txt b/abridged-cie-cmf.txt similarity index 100% rename from aprox.txt rename to abridged-cie-cmf.txt diff --git a/colour_system.py b/colour_system.py index d935822..92514b3 100644 --- a/colour_system.py +++ b/colour_system.py @@ -1,116 +1,124 @@ -# +# # colour_system.py # https://scipython.com/blog/converting-a-spectrum-to-a-colour/ import numpy as np -def xyz_from_xy(x, y): - """Return the vector (x, y, 1-x-y).""" - return np.array((x, y, 1-x-y)) +from enum import Enum -class ColourSystem: - """A class representing a colour system. - A colour system defined by the CIE x, y and z=1-x-y coordinates of - its three primary illuminants and its "white point". +class MatchSpace(Enum): + FULL = 1 + ABRIDGED = 2 - TODO: Implement gamma correction - """ +# Return the vector (x, y, 1-x-y). +def xyz_from_xy(x, y): - # The CIE colour matching function for 380 - 780 nm in 5 nm intervals - cmf = np.loadtxt('aprox.txt', usecols=(1,2,3)) + return np.array((x, y, 1 - x - y)) - def __init__(self, red, green, blue, white): - """Initialise the ColourSystem object. - Pass vectors (ie NumPy arrays of shape (3,)) for each of the - red, green, blue chromaticities and the white illuminant - defining the colour system. +# A colour system defined by the CIE x, y and z=1-x-y coordinates of +# its three primary illuminants and its "white point". +class ColourSystem: - """ + # Pass vectors (ie NumPy arrays of shape (3,)) for each of the + # red, green, blue chromaticities and the white illuminant + # defining the colour system. + def __init__(self, red, green, blue, white, matchSpace: MatchSpace): + # The CIE colour matching function for 380 - 780 nm in 5 nm intervals + if matchSpace == MatchSpace.FULL: + self.cmf = np.loadtxt("cie-cmf.txt", usecols=(1, 2, 3)) + else: + self.cmf = np.loadtxt("abridged-cie-cmf.txt", usecols=(1, 2, 3)) # Chromaticities self.red, self.green, self.blue = red, green, blue self.white = white + # The chromaticity matrix (rgb -> xyz) and its inverse - self.M = np.vstack((self.red, self.green, self.blue)).T + self.M = np.vstack((self.red, self.green, self.blue)).T self.MI = np.linalg.inv(self.M) + # White scaling array self.wscale = self.MI.dot(self.white) + # xyz -> rgb transformation matrix self.T = self.MI / self.wscale[:, np.newaxis] + # Transform from xyz to rgb representation of colour. + # + # The output rgb components are normalized on their maximum + # value. If xyz is out the rgb gamut, it is desaturated until it + # comes into gamut. + # + # By default, fractional rgb components are returned; if + # out_fmt='html', the HTML hex string '#rrggbb' is returned. def xyz_to_rgb(self, xyz, out_fmt=None): - """Transform from xyz to rgb representation of colour. - - The output rgb components are normalized on their maximum - value. If xyz is out the rgb gamut, it is desaturated until it - comes into gamut. - - By default, fractional rgb components are returned; if - out_fmt='html', the HTML hex string '#rrggbb' is returned. - - """ - rgb = self.T.dot(xyz) if np.any(rgb < 0): # We're not in the RGB gamut: approximate by desaturating - w = - np.min(rgb) + w = -np.min(rgb) rgb += w - if not np.all(rgb==0): + if not np.all(rgb == 0): # Normalize the rgb vector rgb /= np.max(rgb) - if out_fmt == 'html': + if out_fmt == "html": return self.rgb_to_hex(rgb) return rgb + # Convert from fractional rgb values to HTML-style hex string. def rgb_to_hex(self, rgb): - """Convert from fractional rgb values to HTML-style hex string.""" hex_rgb = (255 * rgb).astype(int) - return '#{:02x}{:02x}{:02x}'.format(*hex_rgb) + return "#{:02x}{:02x}{:02x}".format(*hex_rgb) + # Convert a spectrum to an xyz point. + # The spectrum must be on the same grid of points as the colour-matching + # function, self.cmf: 380-780 nm in 5 nm steps. def spec_to_xyz(self, spec): - """Convert a spectrum to an xyz point. - - The spectrum must be on the same grid of points as the colour-matching - function, self.cmf: 380-780 nm in 5 nm steps. - - """ XYZ = np.sum(spec[:, np.newaxis] * self.cmf, axis=0) den = np.sum(XYZ) - if den == 0.: + if den == 0.0: return XYZ return XYZ / den + # Convert a spectrum to an rgb value. def spec_to_rgb(self, spec, out_fmt=None): - """Convert a spectrum to an rgb value.""" xyz = self.spec_to_xyz(spec) return self.xyz_to_rgb(xyz, out_fmt) - -illuminant_D65 = xyz_from_xy(0.3127, 0.3291) -cs_hdtv = ColourSystem(red=xyz_from_xy(0.67, 0.33), - green=xyz_from_xy(0.21, 0.71), - blue=xyz_from_xy(0.15, 0.06), - white=illuminant_D65) - -cs_smpte = ColourSystem(red=xyz_from_xy(0.63, 0.34), - green=xyz_from_xy(0.31, 0.595), - blue=xyz_from_xy(0.155, 0.070), - white=illuminant_D65) - -cs_srgb = ColourSystem(red=xyz_from_xy(0.64, 0.33), - green=xyz_from_xy(0.30, 0.60), - blue=xyz_from_xy(0.15, 0.06), - white=illuminant_D65) - -spec = np.array([ 60. ,37. ,33. ,56. ,4. ,4. ,4., 3. ]) - - -print(cs_hdtv.spec_to_rgb(spec, out_fmt='html')) -print(cs_srgb.spec_to_rgb(spec, out_fmt='html')) -print(cs_smpte.spec_to_rgb(spec, out_fmt='html')) + @classmethod + def HDTV(cls, matchSpace: MatchSpace): + illuminant_D65 = xyz_from_xy(0.3127, 0.3291) + return cls( + red=xyz_from_xy(0.67, 0.33), + green=xyz_from_xy(0.21, 0.71), + blue=xyz_from_xy(0.15, 0.06), + white=illuminant_D65, + matchSpace=matchSpace, + ) + + @classmethod + def SMPTE(cls, matchSpace: MatchSpace): + illuminant_D65 = xyz_from_xy(0.3127, 0.3291) + return cls( + red=xyz_from_xy(0.67, 0.33), + green=xyz_from_xy(0.21, 0.71), + blue=xyz_from_xy(0.15, 0.06), + white=illuminant_D65, + matchSpace=matchSpace, + ) + + @classmethod + def SRGB(cls, matchSpace: MatchSpace): + illuminant_D65 = xyz_from_xy(0.3127, 0.3291) + return cls( + red=xyz_from_xy(0.64, 0.33), + green=xyz_from_xy(0.30, 0.60), + blue=xyz_from_xy(0.15, 0.06), + white=illuminant_D65, + matchSpace=matchSpace, + ) diff --git a/main.py b/main.py index b703388..0c543d9 100644 --- a/main.py +++ b/main.py @@ -1,34 +1,82 @@ +# SPDX Apache:2.0 from pydantic import BaseModel from fastapi import FastAPI from colour_system import * import numpy as np +from scipy.constants import h, c, k app = FastAPI() + +# Spretrum and RGB are the two objects pased as JSON into and +# out of the REST API +# Use pydantic to handle these by extending from BaseModel class Spectrum(BaseModel): freq: list = [] + class RGB(BaseModel): hdtv_hex: str srgb_hex: str hdtv_rgb: list = [] srgb_rgb: list = [] + +## Utility to convert text HEX values to RGB int values def hex_to_rgb(hexa): - hexa = hexa.lstrip('#') + hexa = hexa.lstrip("#") rgb = [] - for i in (0,2,4): - rgb.append(int(hexa[i:i+2], 16)) + for i in (0, 2, 4): + rgb.append(int(hexa[i : i + 2], 16)) return rgb + +# Returns the spectral radiance, B(lam, T), in W.sr-1.m-2 of a black body +# at temperature T (in K) at a wavelength lam (in nm), using Planck's law. +# +# Algorthm here is clear by inspection so no need for comments :-) +def planck(lam, T): + lam_m = lam / 1.0e9 + fac = h * c / lam_m / k / T + B = 2 * h * c**2 / lam_m**5 / (np.exp(fac) - 1) + return B + + @app.post("/spectrum/") def read_item(spec: Spectrum) -> RGB: spec = np.array(spec.freq) print(spec) - hdtv = cs_hdtv.spec_to_rgb(spec, out_fmt='html') - srgb = cs_srgb.spec_to_rgb(spec, out_fmt='html') - - r = RGB(hdtv_hex=hdtv, srgb_hex=srgb, hdtv_rgb=hex_to_rgb(hdtv),srgb_rgb=hex_to_rgb(srgb)) + + # use the abridge set of colour frequencies here + hdtv = ColourSystem.HDTV(MatchSpace.ABRIDGED).spec_to_rgb(spec, out_fmt="html") + srgb = ColourSystem.SRGB(MatchSpace.ABRIDGED).spec_to_rgb(spec, out_fmt="html") + + r = RGB( + hdtv_hex=hdtv, + srgb_hex=srgb, + hdtv_rgb=hex_to_rgb(hdtv), + srgb_rgb=hex_to_rgb(srgb), + ) + print(r) + return r + + +@app.post("/temperature/") +def colour_temp(temp: int) -> RGB: + + # full range of frequencies 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