Acquire raw Bayer-masked image from Raspberry Pi camera and write image stack to HDF5 or TIFF.
Project description
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# Raspicam raw Bayer mask pixels
Acquire RAW Bayer-masked images with Raspberry Pi camera (before demosaicking).
Writes HDF5, NetCDF or TIFF compressed image stacks.
## Install
To be installed directly on the Raspberry Pi, using Python ≥ 3.5:
```sh
apt install python3-numpy
python3 -m pip install -e .
```
Running the self-test must be done on a Raspberry Pi with camera module:
```sh
python3 -m pip install -e .[tests]
python3 -m pytest
```
To install advanced (HDF5, NetCDF4) image writing libraries:
```sh
apt install python3-netcdf4 python3-h5py
```
### Tips
* Avoid MMAL errors: `raspi-config` → Advanced Options → Memory Split should be 128 MB, not 64 MB.
* Fix error "ImportError: libf77blas.so.3: cannot open shared object file: No such file or directory" by:
```sh
apt install libatlas-dev
```
## Examples
Setting of exposure time manually (seconds) is mandatory to avoid mistakes in experiments.
### RAW live video display
```sh
./getrawimage.py 0.01 -a
```
### Dump image stack to disk
* NetCDF: `./getrawimage.py 0.01 output.nc`
* HDF5: `./getrawimage.py 0.01 output.h5`
* TIFF: `./getrawimage.py 0.01 output.tif`
## Command-Line Options
* `-a` GPU-based preview, for aiming camera (fast)
* `-p` use Matplotlib for slow, live (10 seconds per frame) display
* `-e` exp_sec manually set exposure time, up to one second (there are still some auto-set gains)
* `-8` output 8-bit array instead of default 10-bit array
## Notes
[Constraints on exposure time](http://picamera.readthedocs.io/en/latest/fov.html#camera-modes)
---
> ValueError: cannot save to a group with the scipy.io.netcdf backend
is fixed by:
```sh
apt install libnetcdf-dev
pip install netcdf4
```
[![Maintainability](https://api.codeclimate.com/v1/badges/66560126d66fb438a9d4/maintainability)](https://codeclimate.com/github/scivision/raspicam-raw-bayer/maintainability)
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[![PyPi Download stats](http://pepy.tech/badge/pibayer)](http://pepy.tech/project/pibayer)
# Raspicam raw Bayer mask pixels
Acquire RAW Bayer-masked images with Raspberry Pi camera (before demosaicking).
Writes HDF5, NetCDF or TIFF compressed image stacks.
## Install
To be installed directly on the Raspberry Pi, using Python ≥ 3.5:
```sh
apt install python3-numpy
python3 -m pip install -e .
```
Running the self-test must be done on a Raspberry Pi with camera module:
```sh
python3 -m pip install -e .[tests]
python3 -m pytest
```
To install advanced (HDF5, NetCDF4) image writing libraries:
```sh
apt install python3-netcdf4 python3-h5py
```
### Tips
* Avoid MMAL errors: `raspi-config` → Advanced Options → Memory Split should be 128 MB, not 64 MB.
* Fix error "ImportError: libf77blas.so.3: cannot open shared object file: No such file or directory" by:
```sh
apt install libatlas-dev
```
## Examples
Setting of exposure time manually (seconds) is mandatory to avoid mistakes in experiments.
### RAW live video display
```sh
./getrawimage.py 0.01 -a
```
### Dump image stack to disk
* NetCDF: `./getrawimage.py 0.01 output.nc`
* HDF5: `./getrawimage.py 0.01 output.h5`
* TIFF: `./getrawimage.py 0.01 output.tif`
## Command-Line Options
* `-a` GPU-based preview, for aiming camera (fast)
* `-p` use Matplotlib for slow, live (10 seconds per frame) display
* `-e` exp_sec manually set exposure time, up to one second (there are still some auto-set gains)
* `-8` output 8-bit array instead of default 10-bit array
## Notes
[Constraints on exposure time](http://picamera.readthedocs.io/en/latest/fov.html#camera-modes)
---
> ValueError: cannot save to a group with the scipy.io.netcdf backend
is fixed by:
```sh
apt install libnetcdf-dev
pip install netcdf4
```
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