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85bc972c54
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Clean completely analyze_fft_ellipses.py
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2024-05-22 20:13:20 +02:00 |
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80ac1f1bf3
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Clean analyze_fft_ellipses.py
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2024-05-22 19:53:20 +02:00 |
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ffd71ce5b8
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Add analyze_fft_ellipses.py
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2024-05-22 19:19:09 +02:00 |
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7a002f8b0d
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Add 1 to np.log10 argument
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2024-05-22 16:43:17 +02:00 |
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99fb31bbd1
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Use same color scale
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2024-05-16 09:55:36 +02:00 |
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da5b19f047
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Clean image_to_fourier.py
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2024-05-16 01:39:06 +02:00 |
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eb33def18c
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Add a missing : and imports
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2024-05-16 00:33:29 +02:00 |
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Benjamin Loison
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f719ff767a
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#66: Stop execution if Pearson correlation is negative
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2024-05-15 20:15:20 +02:00 |
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Benjamin Loison
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60a9dfe89c
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Update forgotten to commit scripts
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2024-05-15 20:00:44 +02:00 |
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Benjamin Loison
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6e7e06b85c
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Clean attribute_source_camera.py
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2024-05-15 19:57:56 +02:00 |
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Benjamin Loison
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e3e3d44ca9
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#62: Comment loading images to memory in favor of cropping
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2024-05-15 19:57:04 +02:00 |
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6a9900df91
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#66: Add Distance Enum to choose between ROOT_MEAN_SQUARE and PEARSON_CORRELATION
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2024-05-15 19:51:30 +02:00 |
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Benjamin Loison
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7ed6ff5adb
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Add RESOLUTION support for Denoiser.MEAN in extract_noise.py
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2024-05-15 19:20:19 +02:00 |
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Benjamin Loison
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ec4657eda8
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Clean low pass denoiser
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2024-05-15 18:21:11 +02:00 |
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Benjamin Loison
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95796b53fc
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#69: Remove artifacts from low pass denoiser
See [Robust_image_source_identification_on_modern_smartphones/issues/69#issuecomment-1892](#69 (comment)).
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2024-05-15 17:41:19 +02:00 |
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Benjamin Loison
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462bd92509
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Make production ready benchmark_load_part_of_images.py
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2024-05-15 16:23:39 +02:00 |
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f7c08849dc
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Update old merge_with_same_color_scale_single_color_channel_images_according_to_bayer_filter.py
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2024-05-15 15:43:16 +02:00 |
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dac9ce9d50
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Update remove_period_patterns.py
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2024-05-15 15:39:11 +02:00 |
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7dcd1f3331
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Update remove_period_patterns.py
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2024-05-14 11:40:56 +02:00 |
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337a6eca84
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Add titles
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2024-05-14 02:12:54 +02:00 |
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038f5ffc00
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Add remove_period_patterns.py
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2024-05-14 02:03:46 +02:00 |
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b7c494579c
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Add old get_ft_prnu.py
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2024-05-14 01:19:57 +02:00 |
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810bde8e35
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Add fft scripts
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2024-05-14 01:19:05 +02:00 |
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4bab354a95
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Clean fft.py
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2024-05-14 00:24:02 +02:00 |
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451bd55219
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Add fft.py
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2024-05-14 00:17:29 +02:00 |
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Benjamin Loison
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ce64450101
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Load lazily images (#62)
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2024-05-13 20:06:47 +02:00 |
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Benjamin Loison
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10f8766793
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First try lazy load
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2024-05-13 19:50:54 +02:00 |
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Benjamin Loison
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f85e63b6e0
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#62: First lazy load try
```
OPERATION = <Operation.LOAD_NPY: 3>
RESOLUTION = 100
Image: 0%|▍ | 1/200 [00:00<00:00, 5084.00it/s]
Camera: 0%| | 0/2 [00:00<?, ?it/s]
Traceback (most recent call last):
File "/home/benjamin/robust_image_source_identification_on_modern_smartphones/datasets/raise/./benchmark_load_part_of_images.py", line 43, in <module>
rawColorChannels = np.load(numpyFilePath, mmap_mode = 'r', allow_pickle = True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/benjamin/venv/lib/python3.11/site-packages/numpy/lib/npyio.py", line 453, in load
return format.open_memmap(file, mode=mmap_mode,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/benjamin/venv/lib/python3.11/site-packages/numpy/lib/format.py", line 932, in open_memmap
raise ValueError(msg)
ValueError: Array can't be memory-mapped: Python objects in dtype.
```
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2024-05-13 18:30:28 +02:00 |
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Benjamin Loison
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ac32abede1
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Save all colors
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2024-05-13 18:22:25 +02:00 |
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Benjamin Loison
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36b17eb3cc
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#62: Add benchmark_load_part_of_images.py
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2024-05-13 17:52:49 +02:00 |
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Benjamin Loison
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fb0f78e069
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Add the ability to hardcode resolution
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2024-05-13 16:27:53 +02:00 |
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Benjamin Loison
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86093a40c0
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Load training images to memory to ease implementation and make execution
faster
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2024-05-13 16:26:58 +02:00 |
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Benjamin Loison
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54178c1101
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#72: Verify actual data type pointer
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2024-05-13 16:10:11 +02:00 |
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Benjamin Loison
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50058d5d2e
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#72: Verify pointer before actually implementing the correct second choice
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2024-05-13 15:55:59 +02:00 |
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Benjamin Loison
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dbfc2756b2
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Remove commented code
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2024-05-13 15:21:30 +02:00 |
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Benjamin Loison
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31704c6e78
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#72: Implement, possibly incorrectly, first choice
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2024-05-13 15:20:17 +02:00 |
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Benjamin Loison
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5e6702e007
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#63: use scipy.stats.pearsonr
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2024-05-13 12:51:26 +02:00 |
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Benjamin Loison
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1a910d2e2c
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Add a try with numpy.corrcoef
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2024-05-13 12:39:59 +02:00 |
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Benjamin Loison
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6ed57bc477
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Precise purpose of a part of code
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2024-05-13 03:13:58 +02:00 |
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Benjamin Loison
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3f7b6bf21a
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Replace _ with for end-user color channel name
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2024-05-13 02:56:27 +02:00 |
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Benjamin Loison
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b2ffc20473
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Add comments to attribute_source_camera.py
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2024-05-13 02:48:22 +02:00 |
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Benjamin Loison
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226936020e
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Remove comments of {min,max}Color
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2024-05-13 02:02:51 +02:00 |
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934add5d91
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Add boxplot for the specified denoisers
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2024-05-10 00:14:30 +02:00 |
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73fb61b16d
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Correct missing denoiser usage
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2024-05-10 00:13:47 +02:00 |
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8523c02517
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Fix #68: Use same color map for different images to more accurately compare them
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2024-05-10 00:03:08 +02:00 |
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3e332c19d8
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Remove unnecessary from PIL import Image
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2024-05-10 00:02:44 +02:00 |
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Benjamin Loison
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f1495f2ba0
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Add and use PREDICT_ONLY_ON_WHOLE_TRAINING_SET
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2024-05-03 13:55:32 +02:00 |
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Benjamin Loison
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612f4119fd
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Determine the mean of camera images only on the training set
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2024-05-03 03:54:26 +02:00 |
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Benjamin Loison
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d7f7728211
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Add Denoiser Enum
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2024-05-03 03:49:15 +02:00 |
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Benjamin Loison
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9fd44debf5
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Remove implicit getColorMeans denoiser argument
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2024-05-03 03:39:57 +02:00 |
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