Official re-implementation of the Calibrated Adversarial Refinement model described in the paper Calibrated Adversarial Refinement for Stochastic Semantic Segmentation

Overview

Calibrated Adversarial Refinement for Stochastic Semantic Segmentation

Python 3.7 PyTorch 1.4 Apache

Official PyTorch implementation of the Calibrated Adversarial Refinement models described in the paper Calibrated Adversarial Refinement for Stochastic Semantic Segmentation accepted at ICCV2021. An overview of the model architecture is depicted below. We show ambiguous boundary segmentation as a use case, where blue and red pixels in the input image are separable by different vertical boundaries, resulting in multiple valid labels.

image

Results on the stochastic version of the Cityscapes dataset are shown below. The leftmost column illustrates input images overlaid with ground truth labels, the middle section shows 8 randomly sampled predictions from the refinement network, and the final column shows aleatoric uncertainty maps extracted from the calibration network.

image image image

The code reproducing the illustrative toy regression example presented in Section 5.1. of the paper can be found in this repository.

Getting Started

Prerequisites

  • Python3
  • NVIDIA GPU + CUDA CuDNN

This was tested an Ubuntu 18.04 system, on a single 16GB Tesla V100 GPU, but might work on other operating systems as well.

Setup virtual environment

To install the requirements for this code run:

python3 -m venv ~/carsss_venv
source ~/carsss_venv/bin/activate
pip install -r requirements.txt

Directory tree

.
├── data
│   └── datasets
│       ├── lidc
│       └── cityscapes
│ 
├── models
│   ├── discriminators
│   ├── general
│   ├── generators
│   │   └── calibration_nets
│   └── losses
│        
├── results
│        └── output
│        
├── testing
│        
├── training
│        
└── utils

Datasets

For the 1D regression dataset experiments, please refer to this repository. Information on how to obtain the stochastic semantic segmentation datasets can be found below.

Download the LIDC dataset

The pre-processed 180x180 2D crops for the Lung Image Database Consortium (LIDC) image collection dataset (LIDC-IDRI) , as described in A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities (2019) and used in this work is made publicly available from Khol et. al, and can be downloaded from (here).

After downloading the dataset, extract each file under ./data/datasets/lidc/. This should give three folders under the said directory named: lidc_crops_test, lidc_crops_train, and lidc_crops_test.

Please note that the official repository of the Hierarchical Probabilistic U-Net , the version of the dataset linked above containts 8843 images for training, 1993 for validation and 1980 for testing rather than 8882, 1996 and 1992 images as used in our experiments, however, the score remains the same.

Download the pre-processed Cityscapes dataset with the black-box predictions

As described in our paper, we integrate our model on top of a black-box segmentation network. We used a pre-trained DeepLabV3+(Xception65+ASPP) model publicly available here . We found that this model obtains a mIoU score of 0.79 on the official test-set of the Cityscapes dataset (Cityscapes).

To get the official 19-class Cityscapes dataset:

  1. Visit the Cityscapes website and create an account
  2. Download the images and annotations
  3. Extract the files and move the folders gtFine and leftImg8bit in a new directory for the raw data i.e. ./data/datasets/cityscapes/raw_data.
  4. Create the 19-class labels by following this issue.
  5. Configure your data directories in ./data/datasets/cityscapes/preprocessing_config.py .
  6. Run ./data/datasets/cityscapes/preprocessing.py to pre-process the data in downscaled numpy arrays and save under ./data/datasets/cityscapes/processed.

Subsequently download the black-box predictions under ./data/datasets/cityscapes/, and extract by running tar -zxvf cityscapes_bb_preds.tar.gz

Finally, move the black-box predictions in the processed cityscapes folder and setup the test set run ./data/datasets/cityscapes/move_bb_preds.py

Train your own models

To train you own model on the LIDC dataset, set LABELS_CHANNELS=2 in line 29 of ./utils/constants.py run:

python main.py --mode train --debug '' --calibration_net SegNetCalNet --z_dim 8 --batch-size 32 --dataset LIDC --class_flip ''

To train you own model using the black-box predictions on the modified Cityscapes dataset, set LABELS_CHANNELS=25 in line 29 of ./utils/constants.py and run:

python main.py --mode train --debug '' --calibration_net ToyCalNet --z_dim 32 --batch-size 16 --dataset CITYSCAPES19 --class_flip True

Launching a run in train mode will create a new directory with the date and time of the start of your run under ./results/output/, where plots documenting the progress of the training and are saved and models are checkpointed. For example, a run launched on 12:00:00 on 1/1/2020 will create a new folder ./results/output/2020-01-01_12:00:00/ . To prevent the creation of this directory, set --debug False in the run command above.

Evaluation

LIDC pre-trained model

A pre-trained model on LIDC can be downloaded from here. To evaluate this model set LABELS_CHANNELS=2, move the downloaded pickle file under ./results/output/LIDC/saved_models/ and run:

python main.py --mode test --test_model_date LIDC --test_model_suffix LIDC_CAR_Model --calibration_net SegNetCalNet --z_dim 8 --dataset LIDC --class_flip ''

Cityscapes pre-trained model

A pre-trained model on the modified Cityscapes dataset can be downloaded from here. To evaluate this model set LABELS_CHANNELS=25 and IMSIZE = (256, 512) in ./utils/constants.py, move the downloaded pickle file under ./results/output/CS/saved_models/ and run:

python main.py --mode test --test_model_date CS --test_model_suffix CS_CAR_Model --calibration_net ToyCalNet --z_dim 32 --dataset CITYSCAPES19 --class_flip True

Citation

If you use this code for your research, please cite our paper Calibrated Adversarial Refinement for Stochastic Semantic Segmentation:

@InProceedings{Kassapis_2021_ICCV,
    author    = {Kassapis, Elias and Dikov, Georgi and Gupta, Deepak K. and Nugteren, Cedric},
    title     = {Calibrated Adversarial Refinement for Stochastic Semantic Segmentation},
    booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
    month     = {October},
    year      = {2021},
    pages     = {7057-7067}
}

License

The code in this repository is published under the Apache License Version 2.0.

Comments
  • Bump pillow from 7.0.0 to 9.0.1

    Bump pillow from 7.0.0 to 9.0.1

    Bumps pillow from 7.0.0 to 9.0.1.

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    Changes

    • In show_file, use os.remove to remove temporary images. CVE-2022-24303 #6010 [@​radarhere, @​hugovk]
    • Restrict builtins within lambdas for ImageMath.eval. CVE-2022-22817 #6009 [radarhere]

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    9.0.1 (2022-02-03)

    • In show_file, use os.remove to remove temporary images. CVE-2022-24303 #6010 [radarhere, hugovk]

    • Restrict builtins within lambdas for ImageMath.eval. CVE-2022-22817 #6009 [radarhere]

    9.0.0 (2022-01-02)

    • Restrict builtins for ImageMath.eval(). CVE-2022-22817 #5923 [radarhere]

    • Ensure JpegImagePlugin stops at the end of a truncated file #5921 [radarhere]

    • Fixed ImagePath.Path array handling. CVE-2022-22815, CVE-2022-22816 #5920 [radarhere]

    • Remove consecutive duplicate tiles that only differ by their offset #5919 [radarhere]

    • Improved I;16 operations on big endian #5901 [radarhere]

    • Limit quantized palette to number of colors #5879 [radarhere]

    • Fixed palette index for zeroed color in FASTOCTREE quantize #5869 [radarhere]

    • When saving RGBA to GIF, make use of first transparent palette entry #5859 [radarhere]

    • Pass SAMPLEFORMAT to libtiff #5848 [radarhere]

    • Added rounding when converting P and PA #5824 [radarhere]

    • Improved putdata() documentation and data handling #5910 [radarhere]

    • Exclude carriage return in PDF regex to help prevent ReDoS #5912 [hugovk]

    • Fixed freeing pointer in ImageDraw.Outline.transform #5909 [radarhere]

    ... (truncated)

    Commits
    • 6deac9e 9.0.1 version bump
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  • Bump protobuf from 3.11.3 to 3.15.0

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    Protocol Buffers v3.15.0

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    • MessageDifferencer: fixed bug when using custom ignore with multiple unknown fields
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  • Bump pillow from 7.0.0 to 9.0.0

    Bump pillow from 7.0.0 to 9.0.0

    Bumps pillow from 7.0.0 to 9.0.0.

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    9.0.0

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    9.0.0 (2022-01-02)

    • Restrict builtins for ImageMath.eval(). CVE-2022-22817 #5923 [radarhere]

    • Ensure JpegImagePlugin stops at the end of a truncated file #5921 [radarhere]

    • Fixed ImagePath.Path array handling. CVE-2022-22815, CVE-2022-22816 #5920 [radarhere]

    • Remove consecutive duplicate tiles that only differ by their offset #5919 [radarhere]

    • Improved I;16 operations on big endian #5901 [radarhere]

    • Limit quantized palette to number of colors #5879 [radarhere]

    • Fixed palette index for zeroed color in FASTOCTREE quantize #5869 [radarhere]

    • When saving RGBA to GIF, make use of first transparent palette entry #5859 [radarhere]

    • Pass SAMPLEFORMAT to libtiff #5848 [radarhere]

    • Added rounding when converting P and PA #5824 [radarhere]

    • Improved putdata() documentation and data handling #5910 [radarhere]

    • Exclude carriage return in PDF regex to help prevent ReDoS #5912 [hugovk]

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    • Added ImageShow support for xdg-open #5897 [m-shinder, radarhere]

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  • Bump pillow from 7.0.0 to 8.3.2

    Bump pillow from 7.0.0 to 8.3.2

    Bumps pillow from 7.0.0 to 8.3.2.

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    8.3.2

    https://pillow.readthedocs.io/en/stable/releasenotes/8.3.2.html

    Security

    • CVE-2021-23437 Raise ValueError if color specifier is too long [hugovk, radarhere]

    • Fix 6-byte OOB read in FliDecode [wiredfool]

    Python 3.10 wheels

    • Add support for Python 3.10 #5569, #5570 [hugovk, radarhere]

    Fixed regressions

    • Ensure TIFF RowsPerStrip is multiple of 8 for JPEG compression #5588 [kmilos, radarhere]

    • Updates for ImagePalette channel order #5599 [radarhere]

    • Hide FriBiDi shim symbols to avoid conflict with real FriBiDi library #5651 [nulano]

    8.3.1

    https://pillow.readthedocs.io/en/stable/releasenotes/8.3.1.html

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    ... (truncated)

    Changelog

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    8.3.2 (2021-09-02)

    • CVE-2021-23437 Raise ValueError if color specifier is too long [hugovk, radarhere]

    • Fix 6-byte OOB read in FliDecode [wiredfool]

    • Add support for Python 3.10 #5569, #5570 [hugovk, radarhere]

    • Ensure TIFF RowsPerStrip is multiple of 8 for JPEG compression #5588 [kmilos, radarhere]

    • Updates for ImagePalette channel order #5599 [radarhere]

    • Hide FriBiDi shim symbols to avoid conflict with real FriBiDi library #5651 [nulano]

    8.3.1 (2021-07-06)

    • Catch OSError when checking if fp is sys.stdout #5585 [radarhere]

    • Handle removing orientation from alternate types of EXIF data #5584 [radarhere]

    • Make Image.array take optional dtype argument #5572 [t-vi, radarhere]

    8.3.0 (2021-07-01)

    • Use snprintf instead of sprintf. CVE-2021-34552 #5567 [radarhere]

    • Limit TIFF strip size when saving with LibTIFF #5514 [kmilos]

    • Allow ICNS save on all operating systems #4526 [baletu, radarhere, newpanjing, hugovk]

    • De-zigzag JPEG's DQT when loading; deprecate convert_dict_qtables #4989 [gofr, radarhere]

    • Replaced xml.etree.ElementTree #5565 [radarhere]

    ... (truncated)

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    • 94a0cf1 Fix 6-byte OOB read in FliDecode
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  • Bump pillow from 7.0.0 to 8.2.0

    Bump pillow from 7.0.0 to 8.2.0

    Bumps pillow from 7.0.0 to 8.2.0.

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    8.2.0

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    Dependencies

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    ... (truncated)

    Changelog

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    8.2.0 (2021-04-01)

    • Added getxmp() method #5144 [UrielMaD, radarhere]

    • Add ImageShow support for GraphicsMagick #5349 [latosha-maltba, radarhere]

    • Do not load transparent pixels from subsequent GIF frames #5333 [zewt, radarhere]

    • Use LZW encoding when saving GIF images #5291 [raygard]

    • Set all transparent colors to be equal in quantize() #5282 [radarhere]

    • Allow PixelAccess to use Python int when parsing x and y #5206 [radarhere]

    • Removed Image._MODEINFO #5316 [radarhere]

    • Add preserve_tone option to autocontrast #5350 [elejke, radarhere]

    • Fixed linear_gradient and radial_gradient I and F modes #5274 [radarhere]

    • Add support for reading TIFFs with PlanarConfiguration=2 #5364 [kkopachev, wiredfool, nulano]

    • Deprecated categories #5351 [radarhere]

    • Do not premultiply alpha when resizing with Image.NEAREST resampling #5304 [nulano]

    • Dynamically link FriBiDi instead of Raqm #5062 [nulano]

    • Allow fewer PNG palette entries than the bit depth maximum when saving #5330 [radarhere]

    • Use duration from info dictionary when saving WebP #5338 [radarhere]

    • Stop flattening EXIF IFD into getexif() #4947 [radarhere, kkopachev]

    ... (truncated)

    Commits
    • e0e353c 8.2.0 version bump
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    • 496245a Fix BLP DOS -- CVE-2021-28678
    • 22e9bee Fix DOS in PSDImagePlugin -- CVE-2021-28675
    • ba65f0b Fix Memory DOS in ImageFont
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    dependencies 
    opened by dependabot[bot] 1
  • Bump pillow from 7.0.0 to 8.1.1

    Bump pillow from 7.0.0 to 8.1.1

    Bumps pillow from 7.0.0 to 8.1.1.

    Release notes

    Sourced from pillow's releases.

    8.1.1

    https://pillow.readthedocs.io/en/stable/releasenotes/8.1.1.html

    8.1.0

    https://pillow.readthedocs.io/en/stable/releasenotes/8.1.0.html

    Changes

    Dependencies

    Deprecations

    ... (truncated)

    Changelog

    Sourced from pillow's changelog.

    8.1.1 (2021-03-01)

    • Use more specific regex chars to prevent ReDoS. CVE-2021-25292 [hugovk]

    • Fix OOB Read in TiffDecode.c, and check the tile validity before reading. CVE-2021-25291 [wiredfool]

    • Fix negative size read in TiffDecode.c. CVE-2021-25290 [wiredfool]

    • Fix OOB read in SgiRleDecode.c. CVE-2021-25293 [wiredfool]

    • Incorrect error code checking in TiffDecode.c. CVE-2021-25289 [wiredfool]

    • PyModule_AddObject fix for Python 3.10 #5194 [radarhere]

    8.1.0 (2021-01-02)

    • Fix TIFF OOB Write error. CVE-2020-35654 #5175 [wiredfool]

    • Fix for Read Overflow in PCX Decoding. CVE-2020-35653 #5174 [wiredfool, radarhere]

    • Fix for SGI Decode buffer overrun. CVE-2020-35655 #5173 [wiredfool, radarhere]

    • Fix OOB Read when saving GIF of xsize=1 #5149 [wiredfool]

    • Makefile updates #5159 [wiredfool, radarhere]

    • Add support for PySide6 #5161 [hugovk]

    • Use disposal settings from previous frame in APNG #5126 [radarhere]

    • Added exception explaining that repr_png saves to PNG #5139 [radarhere]

    • Use previous disposal method in GIF load_end #5125 [radarhere]

    ... (truncated)

    Commits
    • 741d874 8.1.1 version bump
    • 179cd1c Added 8.1.1 release notes to index
    • 7d29665 Update CHANGES.rst [ci skip]
    • d25036f Credits
    • 973a4c3 Release notes for 8.1.1
    • 521dab9 Use more specific regex chars to prevent ReDoS
    • 8b8076b Fix for CVE-2021-25291
    • e25be1e Fix negative size read in TiffDecode.c
    • f891baa Fix OOB read in SgiRleDecode.c
    • cbfdde7 Incorrect error code checking in TiffDecode.c
    • Additional commits viewable in compare view

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    dependencies 
    opened by dependabot[bot] 1
  • Bump pillow from 7.0.0 to 7.1.0

    Bump pillow from 7.0.0 to 7.1.0

    Bumps pillow from 7.0.0 to 7.1.0.

    Release notes

    Sourced from pillow's releases.

    7.1.0

    https://pillow.readthedocs.io/en/stable/releasenotes/7.1.0.html

    Changelog

    Sourced from pillow's changelog.

    7.1.0 (2020-04-01)

    • Fix multiple OOB reads in FLI decoding #4503 [wiredfool]

    • Fix buffer overflow in SGI-RLE decoding #4504 [wiredfool, hugovk]

    • Fix bounds overflow in JPEG 2000 decoding #4505 [wiredfool]

    • Fix bounds overflow in PCX decoding #4506 [wiredfool]

    • Fix 2 buffer overflows in TIFF decoding #4507 [wiredfool]

    • Add APNG support #4243 [pmrowla, radarhere, hugovk]

    • ImageGrab.grab() for Linux with XCB #4260 [nulano, radarhere]

    • Added three new channel operations #4230 [dwastberg, radarhere]

    • Prevent masking of Image reduce method in Jpeg2KImagePlugin #4474 [radarhere, homm]

    • Added reading of earlier ImageMagick PNG EXIF data #4471 [radarhere]

    • Fixed endian handling for I;16 getextrema #4457 [radarhere]

    • Release buffer if function returns prematurely #4381 [radarhere]

    • Add JPEG comment to info dictionary #4455 [radarhere]

    • Fix size calculation of Image.thumbnail() #4404 [orlnub123]

    • Fixed stroke on FreeType < 2.9 #4401 [radarhere]

    • If present, only use alpha channel for bounding box #4454 [radarhere]

    ... (truncated)

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    dependencies 
    opened by dependabot[bot] 1
  • Bump certifi from 2020.4.5.1 to 2022.12.7

    Bump certifi from 2020.4.5.1 to 2022.12.7

    Bumps certifi from 2020.4.5.1 to 2022.12.7.

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    dependencies 
    opened by dependabot[bot] 0
  • Bump pillow from 7.0.0 to 9.3.0

    Bump pillow from 7.0.0 to 9.3.0

    Bumps pillow from 7.0.0 to 9.3.0.

    Release notes

    Sourced from pillow's releases.

    9.3.0

    https://pillow.readthedocs.io/en/stable/releasenotes/9.3.0.html

    Changes

    ... (truncated)

    Changelog

    Sourced from pillow's changelog.

    9.3.0 (2022-10-29)

    • Limit SAMPLESPERPIXEL to avoid runtime DOS #6700 [wiredfool]

    • Initialize libtiff buffer when saving #6699 [radarhere]

    • Inline fname2char to fix memory leak #6329 [nulano]

    • Fix memory leaks related to text features #6330 [nulano]

    • Use double quotes for version check on old CPython on Windows #6695 [hugovk]

    • Remove backup implementation of Round for Windows platforms #6693 [cgohlke]

    • Fixed set_variation_by_name offset #6445 [radarhere]

    • Fix malloc in _imagingft.c:font_setvaraxes #6690 [cgohlke]

    • Release Python GIL when converting images using matrix operations #6418 [hmaarrfk]

    • Added ExifTags enums #6630 [radarhere]

    • Do not modify previous frame when calculating delta in PNG #6683 [radarhere]

    • Added support for reading BMP images with RLE4 compression #6674 [npjg, radarhere]

    • Decode JPEG compressed BLP1 data in original mode #6678 [radarhere]

    • Added GPS TIFF tag info #6661 [radarhere]

    • Added conversion between RGB/RGBA/RGBX and LAB #6647 [radarhere]

    • Do not attempt normalization if mode is already normal #6644 [radarhere]

    ... (truncated)

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    dependencies 
    opened by dependabot[bot] 0
  • Bump joblib from 0.14.1 to 1.2.0

    Bump joblib from 0.14.1 to 1.2.0

    Bumps joblib from 0.14.1 to 1.2.0.

    Changelog

    Sourced from joblib's changelog.

    Release 1.2.0

    • Fix a security issue where eval(pre_dispatch) could potentially run arbitrary code. Now only basic numerics are supported. joblib/joblib#1327

    • Make sure that joblib works even when multiprocessing is not available, for instance with Pyodide joblib/joblib#1256

    • Avoid unnecessary warnings when workers and main process delete the temporary memmap folder contents concurrently. joblib/joblib#1263

    • Fix memory alignment bug for pickles containing numpy arrays. This is especially important when loading the pickle with mmap_mode != None as the resulting numpy.memmap object would not be able to correct the misalignment without performing a memory copy. This bug would cause invalid computation and segmentation faults with native code that would directly access the underlying data buffer of a numpy array, for instance C/C++/Cython code compiled with older GCC versions or some old OpenBLAS written in platform specific assembly. joblib/joblib#1254

    • Vendor cloudpickle 2.2.0 which adds support for PyPy 3.8+.

    • Vendor loky 3.3.0 which fixes several bugs including:

      • robustly forcibly terminating worker processes in case of a crash (joblib/joblib#1269);

      • avoiding leaking worker processes in case of nested loky parallel calls;

      • reliability spawn the correct number of reusable workers.

    Release 1.1.0

    • Fix byte order inconsistency issue during deserialization using joblib.load in cross-endian environment: the numpy arrays are now always loaded to use the system byte order, independently of the byte order of the system that serialized the pickle. joblib/joblib#1181

    • Fix joblib.Memory bug with the ignore parameter when the cached function is a decorated function.

    ... (truncated)

    Commits
    • 5991350 Release 1.2.0
    • 3fa2188 MAINT cleanup numpy warnings related to np.matrix in tests (#1340)
    • cea26ff CI test the future loky-3.3.0 branch (#1338)
    • 8aca6f4 MAINT: remove pytest.warns(None) warnings in pytest 7 (#1264)
    • 067ed4f XFAIL test_child_raises_parent_exits_cleanly with multiprocessing (#1339)
    • ac4ebd5 MAINT add back pytest warnings plugin (#1337)
    • a23427d Test child raises parent exits cleanly more reliable on macos (#1335)
    • ac09691 [MAINT] various test updates (#1334)
    • 4a314b1 Vendor loky 3.2.0 (#1333)
    • bdf47e9 Make test_parallel_with_interactively_defined_functions_default_backend timeo...
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    dependencies 
    opened by dependabot[bot] 0
  • Bump protobuf from 3.11.3 to 3.18.3

    Bump protobuf from 3.11.3 to 3.18.3

    Bumps protobuf from 3.11.3 to 3.18.3.

    Release notes

    Sourced from protobuf's releases.

    Protocol Buffers v3.18.3

    C++

    Protocol Buffers v3.16.1

    Java

    • Improve performance characteristics of UnknownFieldSet parsing (#9371)

    Protocol Buffers v3.18.2

    Java

    • Improve performance characteristics of UnknownFieldSet parsing (#9371)

    Protocol Buffers v3.18.1

    Python

    • Update setup.py to reflect that we now require at least Python 3.5 (#8989)
    • Performance fix for DynamicMessage: force GetRaw() to be inlined (#9023)

    Ruby

    • Update ruby_generator.cc to allow proto2 imports in proto3 (#9003)

    Protocol Buffers v3.18.0

    C++

    • Fix warnings raised by clang 11 (#8664)
    • Make StringPiece constructible from std::string_view (#8707)
    • Add missing capability attributes for LLVM 12 (#8714)
    • Stop using std::iterator (deprecated in C++17). (#8741)
    • Move field_access_listener from libprotobuf-lite to libprotobuf (#8775)
    • Fix #7047 Safely handle setlocale (#8735)
    • Remove deprecated version of SetTotalBytesLimit() (#8794)
    • Support arena allocation of google::protobuf::AnyMetadata (#8758)
    • Fix undefined symbol error around SharedCtor() (#8827)
    • Fix default value of enum(int) in json_util with proto2 (#8835)
    • Better Smaller ByteSizeLong
    • Introduce event filters for inject_field_listener_events
    • Reduce memory usage of DescriptorPool
    • For lazy fields copy serialized form when allowed.
    • Re-introduce the InlinedStringField class
    • v2 access listener
    • Reduce padding in the proto's ExtensionRegistry map.
    • GetExtension performance optimizations
    • Make tracker a static variable rather than call static functions
    • Support extensions in field access listener
    • Annotate MergeFrom for field access listener
    • Fix incomplete types for field access listener
    • Add map_entry/new_map_entry to SpecificField in MessageDifferencer. They record the map items which are different in MessageDifferencer's reporter.
    • Reduce binary size due to fieldless proto messages
    • TextFormat: ParseInfoTree supports getting field end location in addition to start.

    ... (truncated)

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    dependencies 
    opened by dependabot[bot] 0
  • Bump numpy from 1.18.1 to 1.22.0

    Bump numpy from 1.18.1 to 1.22.0

    Bumps numpy from 1.18.1 to 1.22.0.

    Release notes

    Sourced from numpy's releases.

    v1.22.0

    NumPy 1.22.0 Release Notes

    NumPy 1.22.0 is a big release featuring the work of 153 contributors spread over 609 pull requests. There have been many improvements, highlights are:

    • Annotations of the main namespace are essentially complete. Upstream is a moving target, so there will likely be further improvements, but the major work is done. This is probably the most user visible enhancement in this release.
    • A preliminary version of the proposed Array-API is provided. This is a step in creating a standard collection of functions that can be used across application such as CuPy and JAX.
    • NumPy now has a DLPack backend. DLPack provides a common interchange format for array (tensor) data.
    • New methods for quantile, percentile, and related functions. The new methods provide a complete set of the methods commonly found in the literature.
    • A new configurable allocator for use by downstream projects.

    These are in addition to the ongoing work to provide SIMD support for commonly used functions, improvements to F2PY, and better documentation.

    The Python versions supported in this release are 3.8-3.10, Python 3.7 has been dropped. Note that 32 bit wheels are only provided for Python 3.8 and 3.9 on Windows, all other wheels are 64 bits on account of Ubuntu, Fedora, and other Linux distributions dropping 32 bit support. All 64 bit wheels are also linked with 64 bit integer OpenBLAS, which should fix the occasional problems encountered by folks using truly huge arrays.

    Expired deprecations

    Deprecated numeric style dtype strings have been removed

    Using the strings "Bytes0", "Datetime64", "Str0", "Uint32", and "Uint64" as a dtype will now raise a TypeError.

    (gh-19539)

    Expired deprecations for loads, ndfromtxt, and mafromtxt in npyio

    numpy.loads was deprecated in v1.15, with the recommendation that users use pickle.loads instead. ndfromtxt and mafromtxt were both deprecated in v1.17 - users should use numpy.genfromtxt instead with the appropriate value for the usemask parameter.

    (gh-19615)

    ... (truncated)

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    dependencies 
    opened by dependabot[bot] 0
  • Bump dask from 2.14.0 to 2021.10.0

    Bump dask from 2.14.0 to 2021.10.0

    Bumps dask from 2.14.0 to 2021.10.0.

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Elias Kassapis
MSc in Artificial Intelligence from the University of Amsterdam | BSc in Neuroscience from the University of Edinburgh
Elias Kassapis
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