RefineNet-101 VOC in PyTorch

DrSleep, updated 🕥 2022-11-22 04:30:28

RefineNet (in PyTorch)

This repository provides the ResNet-101-based model trained on PASCAL VOC from the paper RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation (the provided weights achieve 80.5% mean IoU on the validation set in the single scale setting)

RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation Guosheng Lin, Anton Milan, Chunhua Shen, Ian Reid In CVPR 2017

Getting Started

For flawless reproduction of our results, the Ubuntu OS is recommended. The model have been tested using Python 3.6.

Dependencies

pip3 torch>=0.4.0 To install required Python packages, please run pip3 install -r requirements3.txt (Python3) - use the flag -u for local installation. The given examples can be run with, or without GPU.

Running examples

For the ease of reproduction, we have embedded all our examples inside Jupyter notebooks. One can either download them from this repository and proceed working with them on his/her local machine/server, or can resort to online version supported by the Google Colab service.

Jupyter Notebooks [Local]

If all the installation steps have been smoothly executed, you can proceed with running any of the notebooks provided in the examples/notebooks folder. To start the Jupyter Notebook server, on your local machine run jupyter notebook. This will open a web page inside your browser. If it did not open automatically, find the port number from the command's output and paste it into your browser manually. After that, navigate to the repository folder and choose any of the examples given.

Inside the notebook, one can try out their own images, write loops to iterate over videos / whole datasets / streams (e.g., from webcam). Feel free to contribute your cool use cases of the notebooks!

Colab Notebooks [Web]

Coming soon

Training scripts

Please refer to the training scripts for Light-Weight-RefineNet

More projects to check out

Light-Weight-RefineNet - compact version of RefineNet running in real-time with minimal decrease in accuracy (3x decrease in the number of parameters, 5x decrease in the number of FLOPs)

License

For academic usage, this project is licensed under the 2-clause BSD License - see the LICENSE file for details. For commercial usage, please contact the authors.

Issues

Bump pillow from 6.2.0 to 9.3.0

opened on 2022-11-22 04:30:25 by dependabot[bot]

Bumps pillow from 6.2.0 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)

Commits


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Bump numpy from 1.14.5 to 1.22.0

opened on 2022-06-21 21:35:52 by dependabot[bot]

Bumps numpy from 1.14.5 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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Bump ipython from 6.4.0 to 7.16.3

opened on 2022-01-21 19:40:43 by dependabot[bot]

Bumps ipython from 6.4.0 to 7.16.3.

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Bump opencv-python from 3.4.1.15 to 4.2.0.32

opened on 2021-10-12 22:55:00 by dependabot[bot]

Bumps opencv-python from 3.4.1.15 to 4.2.0.32.

Release notes

Sourced from opencv-python's releases.

4.2.0.32

OpenCV version 4.2.0.

Changes:

  • macOS environment updated from xcode8.3 to xcode 9.4
  • macOS uses now Qt 5 instead of Qt 4
  • Nasm version updated to Docker containers
  • multibuild updated

Fixes:

  • don't use deprecated brew tap-pin, instead refer to the full package name when installing #267
  • replace get_config_var() with get_config_vars() in setup.py #274
  • add workaround for DLL errors in Windows Server #264

3.4.9.31

OpenCV version 3.4.9.

Changes:

  • macOS environment updated from xcode8.3 to xcode 9.4
  • macOS uses now Qt 5 instead of Qt 4
  • Nasm version updated to Docker containers
  • multibuild updated

Fixes:

  • don't use deprecated brew tap-pin, instead refer to the full package name when installing #267
  • replace get_config_var() with get_config_vars() in setup.py #274
  • add workaround for DLL errors in Windows Server #264

4.1.2.30

OpenCV version 4.1.2.

Changes:

... (truncated)

Commits


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Bump urllib3 from 1.24.2 to 1.26.5

opened on 2021-06-01 23:07:44 by dependabot[bot]

Bumps urllib3 from 1.24.2 to 1.26.5.

Release notes

Sourced from urllib3's releases.

1.26.5

:warning: IMPORTANT: urllib3 v2.0 will drop support for Python 2: Read more in the v2.0 Roadmap

  • Fixed deprecation warnings emitted in Python 3.10.
  • Updated vendored six library to 1.16.0.
  • Improved performance of URL parser when splitting the authority component.

If you or your organization rely on urllib3 consider supporting us via GitHub Sponsors

1.26.4

:warning: IMPORTANT: urllib3 v2.0 will drop support for Python 2: Read more in the v2.0 Roadmap

  • Changed behavior of the default SSLContext when connecting to HTTPS proxy during HTTPS requests. The default SSLContext now sets check_hostname=True.

If you or your organization rely on urllib3 consider supporting us via GitHub Sponsors

1.26.3

:warning: IMPORTANT: urllib3 v2.0 will drop support for Python 2: Read more in the v2.0 Roadmap

  • Fixed bytes and string comparison issue with headers (Pull #2141)

  • Changed ProxySchemeUnknown error message to be more actionable if the user supplies a proxy URL without a scheme (Pull #2107)

If you or your organization rely on urllib3 consider supporting us via GitHub Sponsors

1.26.2

:warning: IMPORTANT: urllib3 v2.0 will drop support for Python 2: Read more in the v2.0 Roadmap

  • Fixed an issue where wrap_socket and CERT_REQUIRED wouldn't be imported properly on Python 2.7.8 and earlier (Pull #2052)

1.26.1

:warning: IMPORTANT: urllib3 v2.0 will drop support for Python 2: Read more in the v2.0 Roadmap

  • Fixed an issue where two User-Agent headers would be sent if a User-Agent header key is passed as bytes (Pull #2047)

1.26.0

:warning: IMPORTANT: urllib3 v2.0 will drop support for Python 2: Read more in the v2.0 Roadmap

  • Added support for HTTPS proxies contacting HTTPS servers (Pull #1923, Pull #1806)

  • Deprecated negotiating TLSv1 and TLSv1.1 by default. Users that still wish to use TLS earlier than 1.2 without a deprecation warning should opt-in explicitly by setting ssl_version=ssl.PROTOCOL_TLSv1_1 (Pull #2002) Starting in urllib3 v2.0: Connections that receive a DeprecationWarning will fail

  • Deprecated Retry options Retry.DEFAULT_METHOD_WHITELIST, Retry.DEFAULT_REDIRECT_HEADERS_BLACKLIST and Retry(method_whitelist=...) in favor of Retry.DEFAULT_ALLOWED_METHODS, Retry.DEFAULT_REMOVE_HEADERS_ON_REDIRECT, and Retry(allowed_methods=...) (Pull #2000) Starting in urllib3 v2.0: Deprecated options will be removed

... (truncated)

Changelog

Sourced from urllib3's changelog.

1.26.5 (2021-05-26)

  • Fixed deprecation warnings emitted in Python 3.10.
  • Updated vendored six library to 1.16.0.
  • Improved performance of URL parser when splitting the authority component.

1.26.4 (2021-03-15)

  • Changed behavior of the default SSLContext when connecting to HTTPS proxy during HTTPS requests. The default SSLContext now sets check_hostname=True.

1.26.3 (2021-01-26)

  • Fixed bytes and string comparison issue with headers (Pull #2141)

  • Changed ProxySchemeUnknown error message to be more actionable if the user supplies a proxy URL without a scheme. (Pull #2107)

1.26.2 (2020-11-12)

  • Fixed an issue where wrap_socket and CERT_REQUIRED wouldn't be imported properly on Python 2.7.8 and earlier (Pull #2052)

1.26.1 (2020-11-11)

  • Fixed an issue where two User-Agent headers would be sent if a User-Agent header key is passed as bytes (Pull #2047)

1.26.0 (2020-11-10)

  • NOTE: urllib3 v2.0 will drop support for Python 2. Read more in the v2.0 Roadmap <https://urllib3.readthedocs.io/en/latest/v2-roadmap.html>_.

  • Added support for HTTPS proxies contacting HTTPS servers (Pull #1923, Pull #1806)

  • Deprecated negotiating TLSv1 and TLSv1.1 by default. Users that still wish to use TLS earlier than 1.2 without a deprecation warning

... (truncated)

Commits
  • d161647 Release 1.26.5
  • 2d4a3fe Improve performance of sub-authority splitting in URL
  • 2698537 Update vendored six to 1.16.0
  • 07bed79 Fix deprecation warnings for Python 3.10 ssl module
  • d725a9b Add Python 3.10 to GitHub Actions
  • 339ad34 Use pytest==6.2.4 on Python 3.10+
  • f271c9c Apply latest Black formatting
  • 1884878 [1.26] Properly proxy EOF on the SSLTransport test suite
  • a891304 Release 1.26.4
  • 8d65ea1 Merge pull request from GHSA-5phf-pp7p-vc2r
  • Additional commits viewable in compare view


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The difference of self.relu and F.ReLU

opened on 2020-06-25 12:36:52 by lcxywfe

https://github.com/DrSleep/refinenet-pytorch/blob/8f25c076016e61a835551493aae303e81cf36c53/models/resnet.py#L214

why F.ReLU here? Need to be no-inplace here?

Vladimir

ML/CV enthusiast

GitHub Repository

refinenet semantic-segmentation pytorch