Camera raw metadata open fail : Unsupported file format or not RAW file

[butterl]

Hi，

I've got some raw data dumped from camera（no header ,just raw meta data），10bit 4160x3120 gbgr. I updated to the latest release version of rawpy， and rawpy always open fail

  File "evalution.py", line 44, in main
    with rawpy.imread(rawfile) as raw:
  File "/home/butter/.local/lib/python2.7/site-packages/rawpy/__init__.py", line 20, in imread
    d.open_file(pathOrFile)
  File "rawpy/_rawpy.pyx", line 266, in rawpy._rawpy.RawPy.open_file
  File "rawpy/_rawpy.pyx", line 662, in rawpy._rawpy.RawPy.handle_error
rawpy._rawpy.LibRawNonFatalError: Unsupported file format or not RAW file

Tried open with Irfanview 4.51 , it could get preview， but could not do well postprocess . raw open param is like below, do I need extra param with rawpy or any hack could be done to achieve that?

[Iamanorange]

Can you upload your image here? Did you tried to read it using numpy.load() directly?

RawPy (or libraw) may not suitable to this kind of data (without headers).

[butterl]

@Iamanorange Thanks for reaching out！ The camera data is on a remote lab machine， so I could only get screen shot(remote access) or text from that machine.

tried load like this, but not sure about the unpacked process，

filename="/home/butter/pic/S5K3L6JKM_LITEON.raw"
ImageSize = 4160 * 3120 * 2 # height * width * 2   raw10 is uint16
with open(filename, 'rb') as f:
    data = f.read(ImageSize)
    packed = np.frombuffer(data, dtype='uint8').astype('uint16')

also tried this from stackoverflow， could not see a proper image but could see a blurred contour

scene_infile = open(filename,'rb')
scene_image_array = np.fromfile(scene_infile,dtype=np.uint16,count=4160*3120)
scene_image = Image.frombuffer("I",[4160,3120],
                                 scene_image_array.astype('I'),
                                 'raw','I',0,1)
plt.imshow(scene_image)
plt.show()

rawpy may need header data to process， is it possible to pass the npdata and other data in ? I just want a 16 bit linear output jpg for enhance testset by already processed dng with rawpy

[Iamanorange]

import numpy as np
from PIL import Image
import rawpy

# For Adobe DNG image
input_file = 'path/to/rawimage.dng'
rawimg = rawpy.imread(input_file)
npimg = rawimg.raw_image

# For raw image (without any headers)
input_file = 'path/to/rawimage.raw'
npimg = fromfile(input_file, dtype=np.uint16)
imageSize = (3648, 2736)
npimg = npimg.reshape(imageSize)

# Save the image from array to file.
# TIFF is more suitable for 4 channel 10bit image
# comparing to JPEG
output_file = 'out.tiff'
Image.fromarray(npimg/1023.0).save(output_file)

You can use scp to download the image file from remote machine.

[HongChow]

import numpy as np
from PIL import Image
import rawpy

# For Adobe DNG image
input_file = 'path/to/rawimage.dng'
rawimg = rawpy.imread(input_file)
npimg = rawimg.raw_image

# For raw image (without any headers)
input_file = 'path/to/rawimage.raw'
npimg = fromfile(input_file, dtype=np.uint16)
imageSize = (3648, 2736)
npimg = npimg.reshape(imageSize)

# Save the image from array to file.
# TIFF is more suitable for 4 channel 10bit image
# comparing to JPEG
output_file = 'out.tiff'
Image.fromarray(npimg/1023.0).save(output_file)

You can use scp to download the image file from remote machine. hi, I want to know: how can use rawpy postprocessing for numpy array?

[letmaik]

how can use rawpy postprocessing for numpy array?

You can't.