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Adapt export_file.py to use jungfrau_utils/1.3

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usov_i
2020-11-17 15:15:36 +01:00
committed by GitHub
parent a131f0ca62
commit c64299481e
1 changed files with 5 additions and 14 deletions
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scripts/export_file.py
+5 -14
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@@ -71,20 +71,12 @@ with ju.File(
batch_size=35,
)
pixel_mask = juf.handler.get_pixel_mask(gap_pixels=gap_pixels, geometry=geometry)
# Utility info
with h5py.File(args.file_out, "r") as h5f:
print("daq_rec:", h5f[f"/data/{detector_name}/daq_rec"][0, 0])
# Postprocessing
with h5py.File(args.file_out, "r+") as h5f:
h5f[f"/data/{detector_name}/pixel_mask"] = np.invert(pixel_mask)
if conversion:
print("daq_rec:", h5f[f"/data/{detector_name}/daq_rec"][0, 0])
del h5f[f"/data/{detector_name}/daq_rec"]
frame_index = h5f[f"/data/{detector_name}/frame_index"][:]
print("frame_index range:", (np.min(frame_index), np.max(frame_index)))
del h5f[f"/data/{detector_name}/frame_index"]
del h5f[f"/data/{detector_name}/is_good_frame"]
frame_index = h5f[f"/data/{detector_name}/frame_index"][:]
print("frame_index range:", (np.min(frame_index), np.max(frame_index)))
print("input frames:", n_input_frames)
print("bad frames:", n_input_frames - n_output_frames)
@@ -99,4 +91,3 @@ print("geometry:", geometry)
print("gap_pixels:", gap_pixels)
print("compression:", compression)
print("factor:", factor)