This is a simple Numpy implementation of the Mertens Fusion Alghoritm.
https://link.raise-uav.com
| cvHDR-Fusion.py | ||
| experimental.py | ||
| file_utility.py | ||
| makehdr.py | ||
| numpyHDR.py | ||
| picamburst.py | ||
| readme.md | ||
| requirements.txt | ||
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)