Update version to 1.1 (open-mmlab#2144)

* update version to 1.1

* fix typo

* remove the version limit of ubelt

Author: hellock

README.md

@@ -1,4 +1,3 @@
-
 # MMDetection
 
 **News**: We released the technical report on [ArXiv](https://arxiv.org/abs/1906.07155).
@@ -7,7 +6,7 @@ Documentation: https://mmdetection.readthedocs.io/
 
 ## Introduction
 
-The master branch works with **PyTorch 1.1** or higher.
+The master branch works with **PyTorch 1.1 to 1.4**.
 
 mmdetection is an open source object detection toolbox based on PyTorch. It is
 a part of the open-mmlab project developed by [Multimedia Laboratory, CUHK](http://mmlab.ie.cuhk.edu.hk/).
@@ -40,7 +39,7 @@ This project is released under the [Apache 2.0 license](LICENSE).
 
 ## Changelog
 
-v1.0.0 was released in 30/1/2020, with more than 20 fixes and improvements.
+v1.1.0 was released in 24/2/2020.
 Please refer to [CHANGELOG.md](docs/CHANGELOG.md) for details and release history.
 
 ## Benchmark and model zoo
@@ -77,11 +76,11 @@ Other features
 - [x] [DCNv2](configs/dcn/README.md)
 - [x] [Group Normalization](configs/gn/README.md)
 - [x] [Weight Standardization](configs/gn+ws/README.md)
-- [x] OHEM
+- [x] [OHEM](configs/faster_rcnn_ohem_r50_fpn_1x.py)
 - [x] Soft-NMS
 - [x] [Generalized Attention](configs/empirical_attention/README.md)
 - [x] [GCNet](configs/gcnet/README.md)
-- [x] [Mixed Precision (FP16) Training](https://github.com/open-mmlab/mmdetection/blob/master/configs/fp16)
+- [x] [Mixed Precision (FP16) Training](configs/fp16)
 - [x] [InstaBoost](configs/instaboost/README.md)
 
 
@@ -125,4 +124,5 @@ If you use this toolbox or benchmark in your research, please cite this project.
 
 ## Contact
 
-This repo is currently maintained by Kai Chen ([@hellock](http://github.com/hellock)), Yuhang Cao ([@yhcao6](https://github.com/yhcao6)), Wenwei Zhang ([@ZwwWayne](https://github.com/ZwwWayne)), Jiangmiao Pang ([@OceanPang](https://github.com/OceanPang)) and Jiaqi Wang ([@myownskyW7](https://github.com/myownskyW7)).
+This repo is currently maintained by Kai Chen ([@hellock](http://github.com/hellock)), Yuhang Cao ([@yhcao6](https://github.com/yhcao6)), Wenwei Zhang ([@ZwwWayne](https://github.com/ZwwWayne)),
+Jiarui Xu ([@xvjiarui](https://github.com/xvjiarui)). Other core developers include Jiangmiao Pang ([@OceanPang](https://github.com/OceanPang)) and Jiaqi Wang ([@myownskyW7](https://github.com/myownskyW7)).

docs/CHANGELOG.md

@@ -1,5 +1,41 @@
 ## Changelog
 
+### v1.1.0 (24/2/2020)
+
+**Highlights**
+- Dataset evaluation is rewritten with a unified api, which is used by both evaluation hooks and test scripts.
+- Support new methods: [CARAFE](https://arxiv.org/abs/1905.02188).
+
+**Breaking Changes**
+- The new MMDDP inherits from the official DDP, thus the `__init__` api is changed to be the same as official DDP.
+- The `mask_head` field in HTC config files is modified.
+- The evaluation and testing script is updated.
+- In all transforms, instance masks are stored as a numpy array shaped (n, h, w) instead of a list of (h, w) arrays, where n is the number of instances.
+
+**Bug Fixes**
+- Fix IOU assigners when ignore_iof_thr > 0 and there is no pred boxes. (#2135)
+- Fix mAP evaluation when there are no ignored boxes. (#2116)
+- Fix the empty RoI input for Deformable RoI Pooling. (#2099)
+- Fix the dataset settings for multiple workflows. (#2103)
+- Fix the warning related to `torch.uint8` in PyTorch 1.4. (#2105)
+- Fix the inference demo on devices other than gpu:0. (#2098)
+- Fix Dockerfile. (#2097)
+- Fix the bug that `pad_val` is unused in Pad transform. (#2093)
+- Fix the albumentation transform when there is no ground truth bbox. (#2032)
+
+**Improvements**
+- Use torch instead of numpy for random sampling. (#2094)
+- Migrate to the new MMDDP implementation in MMCV v0.3. (#2090)
+- Add meta information in logs. (#2086)
+- Rewrite Soft NMS with pytorch extension and remove cython as a dependency. (#2056)
+- Rewrite dataset evaluation. (#2042, #2087, #2114, #2128)
+- Use numpy array for masks in transforms. (#2030)
+
+**New Features**
+- Implement "CARAFE: Content-Aware ReAssembly of FEatures". (#1583)
+- Add `worker_init_fn()` in data_loader when seed is set. (#2066, #2111)
+- Add logging utils. (#2035)
+
 ### v1.0.0 (30/1/2020)
 
 This release mainly improves the code quality and add more docstrings.

requirements/tests.txt

@@ -7,6 +7,6 @@ kwarray
 pytest
 pytest-cov
 pytest-runner
-ubelt == 0.8.8
+ubelt
 xdoctest >= 0.10.0
 yapf

setup.py

@@ -16,7 +16,7 @@ def readme():
 
 
 MAJOR = 1
-MINOR = 0
+MINOR = 1
 PATCH = 0
 SUFFIX = ''
 if PATCH != '':