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c6d10b2fae
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Bugfixes, add mask rois to streak finder; Allows masking out bad rois or a part of sensor to speed up
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2025-07-07 09:00:57 +02:00 |
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ff532af0d6
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Chane image in-place if snr selected; Use concentric mask
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2025-07-04 11:14:32 +02:00 |
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2e066ef3a7
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Have mask and whitefield also available as it was outside of streak finder
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2025-07-04 10:55:04 +02:00 |
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a87b84e6c2
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Correct order of calls in streakfind
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2025-07-04 08:56:45 +02:00 |
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6ff5e54be7
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Return early if no streaks detected
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2025-07-04 08:55:20 +02:00 |
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Dorofeeva Elizaveta (EXT)
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2852a5320a
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Bug fixes in new streak finder
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2025-07-04 08:43:28 +02:00 |
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6e695a6734
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New streak finder
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2025-07-03 15:22:34 +02:00 |
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fe23223887
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Update readme - streak finder now marks frames as hits
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2025-06-30 13:51:07 +02:00 |
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Dorofeeva Elizaveta (EXT)
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3e9da9aae5
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Bug fix in streak finder; Mark frames with streaks as a hit
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2025-06-30 13:47:44 +02:00 |
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0962f48349
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More parameters returned by streak finder: lengths and Bragg counts of all identified streaks
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2025-06-30 13:26:24 +02:00 |
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8f66420538
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Updated README - update json settings file example
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2025-06-30 09:13:52 +02:00 |
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Dorofeeva Elizaveta (EXT)
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3c48072d84
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Pixel mask that is read from file is converted to bool
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2025-06-25 15:32:55 +02:00 |
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a69498ce7e
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Correct parameter name in README for mask from file
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2025-06-25 11:30:33 +02:00 |
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84486c6ff9
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Allow to apply additional mask that is read out of file - NumPy or hdf5
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2025-06-25 11:15:43 +02:00 |
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a10c70028f
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For white field correction, allow to specify dataset to read white field from
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2025-06-25 11:05:21 +02:00 |
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cca5decacc
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Add whitefield correction error handling
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2025-06-25 10:21:56 +02:00 |
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02e15090cd
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Add example parameters for streak finder and whitefield correction to README
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2025-06-25 09:22:14 +02:00 |
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12104e72ef
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CBD streak finder: Correct shape of streaks data
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2025-06-25 08:53:25 +02:00 |
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Dorofeeva Elizaveta (EXT)
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68b108655b
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Ensure wf correctrion to be in-place
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2025-06-24 10:09:04 +02:00 |
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cb2c6d5ab2
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Added streak finding and white field correction for convergent-beam diffraction experiments;
TODO: cleanup, document streakfinder installation or add to setup
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2025-06-24 08:13:28 +02:00 |
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f47e1bbb88
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Update addmask.py
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2025-05-19 19:30:33 +02:00 |
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1585a1b4a4
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Update addmask.py
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2025-05-19 19:27:12 +02:00 |
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0793d4e298
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Update addmask.py
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2025-05-19 17:54:46 +02:00 |
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e596def451
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renamed JF06T08V06 -> JF06T08V07
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2025-01-22 19:28:05 +01:00 |
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9ae4464086
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generalized "SPI analysis" from 2 to N ROIs (incl. N=0)
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2024-12-05 12:23:26 +01:00 |
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b245387d79
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renamed: JF06T08V05 -> JF06T08V06
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2024-11-19 14:05:01 +01:00 |
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4027fcbc67
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Merge branch 'refactor' into 'main'
refactor
See merge request sf-daq/dap!1
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2024-10-12 17:09:09 +02:00 |
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7a57201ca3
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fixed dtype of "roi_intensities_normalised" if threshold_value != "NaN"
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2024-10-03 12:13:39 +02:00 |
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98bbe76936
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typo: vmin instead of vmax
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2024-10-03 11:50:49 +02:00 |
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df17ae536c
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numpy arrays do not like to be treated as booleans
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2024-10-03 11:03:55 +02:00 |
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5bf58d1193
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fixed dtype of "roi_intensities"
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2024-10-03 11:02:24 +02:00 |
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05905d183c
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bumped version of JF06 (4 -> 5)
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2024-09-11 21:36:14 +02:00 |
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f18af38dc6
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reordered operations
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2024-09-04 17:30:43 +02:00 |
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35c50b472f
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split updating nmax and checking readiness
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2024-08-30 18:01:13 +02:00 |
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a65553e13a
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removed apply_aggregation check [aggregator cannot be ready if apply_aggregation is False]
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2024-08-30 17:38:16 +02:00 |
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7a05d8f095
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moved aggregator.reset() [this now also resets if aggregation_max wasnt given]
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2024-08-30 15:56:27 +02:00 |
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4db7f4f8cd
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moved "not ready" due to missing aggregation_max into Aggregator
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2024-08-30 14:53:05 +02:00 |
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7d57d6c5e0
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removed unused data argument and numpy import
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2024-08-30 11:54:10 +02:00 |
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1350093d5a
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removed apply_threshold check from calc_aggregation_ready as these are independent operations
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2024-08-30 11:52:35 +02:00 |
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470aa52ff9
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use the proper check from JU [this includes checking for the gain now, which probably was ommitted before since the gain file rarely changes and always exists]
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2024-08-29 10:56:46 +02:00 |
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cc0113507b
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removed unreachable special case for raw data (uint16) reaching aggregation [adapter.process calls handler.process with conversion=handler.can_convert(), which checks if gain and pedestal are truthy; with conversion, the dtype is float32 or int32; if handler.pedestal_file is falsy, the image is skipped upon receive -> special case can never trigger]
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2024-08-29 10:37:04 +02:00 |
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cb79be0a3e
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added/use Aggregator.is_ready
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2024-08-28 10:53:21 +02:00 |
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1e6af40d56
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moved calc_apply_threshold out of calc_data, removed special case check
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2024-08-28 10:39:01 +02:00 |
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b99a32d9d7
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renamed raw_data -> raw_image
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2024-08-28 10:21:32 +02:00 |
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8981eab522
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renamed pfdata -> pfimage
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2024-08-28 10:19:01 +02:00 |
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6ca0ebf945
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renamed data -> image
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2024-08-28 10:16:30 +02:00 |
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f2f871c880
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renamed image -> raw_data
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2024-08-28 10:13:21 +02:00 |
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d0c1621109
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consistency: removed special case that sends the raw data image instead of the processed image data [special case triggered if apply_aggregation and apply_threshold are off, but both can still be not applied if the respective parameters (aggregation_max, threshold_min, threshold_max) are not given, which would send data]
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2024-08-28 10:08:18 +02:00 |
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b1f104a71d
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disentangle
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2024-08-21 15:55:23 +02:00 |
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18d6dd0b7b
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consistent naming with the other algos
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2024-08-20 22:23:36 +02:00 |
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