Image Processing Web Pipeline

Updated 25 Sep 2026

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What it is
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  a reusable flow for accepting image input, decoding it into numerical data, processing it, and returning a view or result
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Upload flwo from the lab
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  receive uploaded bytes
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  decode the encoded image
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  verify decoding succeeded
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  inspect dimensions, channels, and numeric type
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  process the array
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  render or encode the result
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Channel handling
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  in the supplied code, OpenCV decodes a color image in BGR order
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  b, g, r = cv2.split(img) separates channels correctly
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  convert to RGB when passing that array to a display expecting RGB
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Architecture
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  image-processing functions can be reused behind either a Streamlit interface or FastAPI endpoints
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  moving between those interfaces does not require changing the underlying image-processing mathematics
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Caution
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  VideoCapture(0) accesses the camera on the machine running the Python process - not automatically the remote browser user’s webcam
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  the supplied face-capture code collects crops; its noise-removal and sharpening sections contain no implementations
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Related
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  Raster Image
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  Face Detection

Linked references 2