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numpyHDR

Micro Library for HDR image creation using the Mertens Fusion Alghoritm*
Optional Raspicam integration with picamera2 lib
CLI Application "makehdr.py"
Processing time on raspi zero ca 15 min with full res 12MP files.

Intention

numpy and PIL, picamera2 for Raspicam funtionality.
Whenever dependencies of other bigger image librarys aren´t satisfyable.
32-bit armv6 or oudated Kernels etc.

Function

Use makehdr.py CLI app for testing before implementation

Captures an exposure bracket stack from the raspicam as fast as possible
Alternatively from image sequences form file
Either direct processing or save files in between
Uses a conversion of the Mertens Fusion alghoritm
Stretches Information to the full spectrum like Contrast or compression
Lifts the shadows softly with an envelope.
Clips to Image range and saves via PIL

Setup

Download and isntall dependencies from requirements.txt into env

Usage

Start make

Run function sequence() to start processing. Example:

hdr = numpyHDR.NumpyHDR()

hdr.input_image = photos/EV- stages/

hdr.compress_quality = 50

hdr.output_path = photos/result/

hdr.sequence()

-returns: Nothing (Arrrr)