{"releases":[{"id":53425492,"tag":"v0.6","author":"ppwwyyxx","name":"v0.6","draft":false,"prerelease":false,"createdAt":"2021-10-26T02:11:12Z","publishedAt":"2021-11-15T22:08:26Z","markdown":"Pre-built Linux binaries are available for the following environment:\r\n\r\n\r\n<table class=\"docutils\"><tbody><th width=\"80\"> CUDA </th><th valign=\"bottom\" align=\"left\" width=\"100\">torch 1.10</th><th valign=\"bottom\" align=\"left\" width=\"100\">torch 1.9</th><th valign=\"bottom\" align=\"left\" width=\"100\">torch 1.8</th> <tr><td align=\"left\">11.3</td><td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.6 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu113/torch1.10/index.html\r\n</code></pre> </details> </td> <td align=\"left\"> </td> <td align=\"left\"> </td> </tr> <tr><td align=\"left\">11.1</td><td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.6 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu111/torch1.10/index.html\r\n</code></pre> </details> </td> <td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.6 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu111/torch1.9/index.html\r\n</code></pre> </details> </td> <td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.6 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu111/torch1.8/index.html\r\n</code></pre> </details> </td> </tr> <tr><td align=\"left\">10.2</td><td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.6 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu102/torch1.10/index.html\r\n</code></pre> </details> </td> <td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.6 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu102/torch1.9/index.html\r\n</code></pre> </details> </td> <td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.6 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu102/torch1.8/index.html\r\n</code></pre> </details> </td> </tr> <tr><td align=\"left\">10.1</td><td align=\"left\"> </td> <td align=\"left\"> </td> <td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.6 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu101/torch1.8/index.html\r\n</code></pre> </details> </td> </tr> <tr><td align=\"left\">cpu</td><td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.6 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cpu/torch1.10/index.html\r\n</code></pre> </details> </td> <td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.6 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cpu/torch1.9/index.html\r\n</code></pre> </details> </td> <td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.6 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cpu/torch1.8/index.html\r\n</code></pre> </details> </td> </tr></tbody></table>\r\n","html":"<p>Pre-built Linux binaries are available for the following environment:</p>\n<table><tbody>\n<tr><th width=\"80\"> CUDA </th>\n<th valign=\"bottom\" align=\"left\" width=\"100\">torch 1.10</th>\n<th valign=\"bottom\" align=\"left\" width=\"100\">torch 1.9</th>\n<th valign=\"bottom\" align=\"left\" width=\"100\">torch 1.8</th> </tr><tr>\n<td align=\"left\">11.3</td>\n<td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.6 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu113/torch1.10/index.html\n</code></pre> </details> </td> <td align=\"left\"> </td> <td align=\"left\"> </td> </tr> <tr>\n<td align=\"left\">11.1</td>\n<td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.6 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu111/torch1.10/index.html\n</code></pre> </details> </td> <td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.6 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu111/torch1.9/index.html\n</code></pre> </details> </td> <td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.6 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu111/torch1.8/index.html\n</code></pre> </details> </td> </tr> <tr>\n<td align=\"left\">10.2</td>\n<td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.6 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu102/torch1.10/index.html\n</code></pre> </details> </td> <td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.6 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu102/torch1.9/index.html\n</code></pre> </details> </td> <td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.6 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu102/torch1.8/index.html\n</code></pre> </details> </td> </tr> <tr>\n<td align=\"left\">10.1</td>\n<td align=\"left\"> </td> <td align=\"left\"> </td> <td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.6 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu101/torch1.8/index.html\n</code></pre> </details> </td> </tr> <tr>\n<td align=\"left\">cpu</td>\n<td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.6 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cpu/torch1.10/index.html\n</code></pre> </details> </td> <td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.6 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cpu/torch1.9/index.html\n</code></pre> </details> </td> <td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.6 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cpu/torch1.8/index.html\n</code></pre> </details> </td> </tr>\n</tbody></table>\n","assets":[]},{"id":46691509,"tag":"v0.5","author":"ppwwyyxx","name":"v0.5","draft":false,"prerelease":false,"createdAt":"2021-07-23T16:28:18Z","publishedAt":"2021-07-23T18:55:45Z","markdown":"* Add [“LazyConfig” system](https://detectron2.readthedocs.io/en/latest/tutorials/lazyconfigs.html), an alternative python-based config system with more flexible syntax and no predefined structures.\r\n* Add improved Mask R-CNN baselines to model zoo using large scale jittering and longer training. See [blog](https://ai.facebook.com/blog/advancing-computer-vision-research-with-new-detectron2-mask-r-cnn-baselines) and [configs](https://github.com/facebookresearch/detectron2/tree/master/configs/new_baselines).\r\n* Add [backbone wrapper](https://detectron2.readthedocs.io/en/latest/modules/modeling.html#detectron2.modeling.MMDetBackbone) and [detector wrapper](https://detectron2.readthedocs.io/en/latest/modules/modeling.html#detectron2.modeling.MMDetDetector) for models in [mmdetection](https://github.com/open-mmlab/mmdetection/). This allows training and evaluation of these models in detectron2. See [an example config](https://github.com/facebookresearch/detectron2/blob/master/configs/Misc/mmdet_mask_rcnn_R_50_FPN_1x.py) that trains a mmdet’s Mask R-CNN\r\n* Code release for [Implicit PointRend](https://github.com/facebookresearch/detectron2/tree/master/projects/PointRend) & [PointSup](https://github.com/facebookresearch/detectron2/tree/master/projects/PointSup).\r\n* Code release for [Rethinking Batch in BatchNorm](https://github.com/facebookresearch/detectron2/tree/master/projects/Rethinking-BatchNorm).\r\n* Add support for RegNet backbones. [Example](https://github.com/facebookresearch/detectron2/blob/master/configs/COCO-InstanceSegmentation/mask_rcnn_regnety_4gf_dds_fpn_1x.py).\r\n* [Integration](https://detectron2.readthedocs.io/en/latest/modules/utils.html#detectron2.utils.analysis.FlopCountAnalysis) of fvcore’s tracing-based advanced [flop counter](https://github.com/facebookresearch/fvcore/blob/master/docs/flop_count.md).\r\n* New features in DensePose CSE: see its [release notes](https://github.com/facebookresearch/detectron2/blob/master/projects/DensePose/doc/RELEASE_2021_06.md) for more details.\r\n\r\nPre-built Linux binaries are available for the following environment:\r\n\r\n<table class=\"docutils\"><tbody><th width=\"80\"> CUDA </th><th valign=\"bottom\" align=\"left\" width=\"100\">torch 1.9</th><th valign=\"bottom\" align=\"left\" width=\"100\">torch 1.8</th><th valign=\"bottom\" align=\"left\" width=\"100\">torch 1.7</th> <tr><td align=\"left\">11.1</td><td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.5 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu111/torch1.9/index.html\r\n</code></pre> </details> </td> <td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.5 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu111/torch1.8/index.html\r\n</code></pre> </details> </td> <td align=\"left\"> </td> </tr> <tr><td align=\"left\">11.0</td><td align=\"left\"> </td> <td align=\"left\"> </td> <td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.5 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu110/torch1.7/index.html\r\n</code></pre> </details> </td> </tr> <tr><td align=\"left\">10.2</td><td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.5 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu102/torch1.9/index.html\r\n</code></pre> </details> </td> <td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.5 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu102/torch1.8/index.html\r\n</code></pre> </details> </td> <td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.5 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu102/torch1.7/index.html\r\n</code></pre> </details> </td> </tr> <tr><td align=\"left\">10.1</td><td align=\"left\"> </td> <td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.5 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu101/torch1.8/index.html\r\n</code></pre> </details> </td> <td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.5 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu101/torch1.7/index.html\r\n</code></pre> </details> </td> </tr> <tr><td align=\"left\">9.2</td><td align=\"left\"> </td> <td align=\"left\"> </td> <td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.5 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu92/torch1.7/index.html\r\n</code></pre> </details> </td> </tr> <tr><td align=\"left\">cpu</td><td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.5 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cpu/torch1.9/index.html\r\n</code></pre> </details> </td> <td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.5 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cpu/torch1.8/index.html\r\n</code></pre> </details> </td> <td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.5 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cpu/torch1.7/index.html\r\n</code></pre> </details> </td> </tr></tbody></table>\r\n","html":"<ul>\n<li>Add <a href=\"https://detectron2.readthedocs.io/en/latest/tutorials/lazyconfigs.html\" rel=\"nofollow\">“LazyConfig” system</a>, an alternative python-based config system with more flexible syntax and no predefined structures.</li>\n<li>Add improved Mask R-CNN baselines to model zoo using large scale jittering and longer training. See <a href=\"https://ai.facebook.com/blog/advancing-computer-vision-research-with-new-detectron2-mask-r-cnn-baselines\" rel=\"nofollow\">blog</a> and <a href=\"https://github.com/facebookresearch/detectron2/tree/master/configs/new_baselines\">configs</a>.</li>\n<li>Add <a href=\"https://detectron2.readthedocs.io/en/latest/modules/modeling.html#detectron2.modeling.MMDetBackbone\" rel=\"nofollow\">backbone wrapper</a> and <a href=\"https://detectron2.readthedocs.io/en/latest/modules/modeling.html#detectron2.modeling.MMDetDetector\" rel=\"nofollow\">detector wrapper</a> for models in <a href=\"https://github.com/open-mmlab/mmdetection/\">mmdetection</a>. This allows training and evaluation of these models in detectron2. See <a href=\"https://github.com/facebookresearch/detectron2/blob/master/configs/Misc/mmdet_mask_rcnn_R_50_FPN_1x.py\">an example config</a> that trains a mmdet’s Mask R-CNN</li>\n<li>Code release for <a href=\"https://github.com/facebookresearch/detectron2/tree/master/projects/PointRend\">Implicit PointRend</a> &amp; <a href=\"https://github.com/facebookresearch/detectron2/tree/master/projects/PointSup\">PointSup</a>.</li>\n<li>Code release for <a href=\"https://github.com/facebookresearch/detectron2/tree/master/projects/Rethinking-BatchNorm\">Rethinking Batch in BatchNorm</a>.</li>\n<li>Add support for RegNet backbones. <a href=\"https://github.com/facebookresearch/detectron2/blob/master/configs/COCO-InstanceSegmentation/mask_rcnn_regnety_4gf_dds_fpn_1x.py\">Example</a>.</li>\n<li>\n<a href=\"https://detectron2.readthedocs.io/en/latest/modules/utils.html#detectron2.utils.analysis.FlopCountAnalysis\" rel=\"nofollow\">Integration</a> of fvcore’s tracing-based advanced <a href=\"https://github.com/facebookresearch/fvcore/blob/master/docs/flop_count.md\">flop counter</a>.</li>\n<li>New features in DensePose CSE: see its <a href=\"https://github.com/facebookresearch/detectron2/blob/master/projects/DensePose/doc/RELEASE_2021_06.md\">release notes</a> for more details.</li>\n</ul>\n<p>Pre-built Linux binaries are available for the following environment:</p>\n<table><tbody>\n<tr><th width=\"80\"> CUDA </th>\n<th valign=\"bottom\" align=\"left\" width=\"100\">torch 1.9</th>\n<th valign=\"bottom\" align=\"left\" width=\"100\">torch 1.8</th>\n<th valign=\"bottom\" align=\"left\" width=\"100\">torch 1.7</th> </tr><tr>\n<td align=\"left\">11.1</td>\n<td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.5 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu111/torch1.9/index.html\n</code></pre> </details> </td> <td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.5 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu111/torch1.8/index.html\n</code></pre> </details> </td> <td align=\"left\"> </td> </tr> <tr>\n<td align=\"left\">11.0</td>\n<td align=\"left\"> </td> <td align=\"left\"> </td> <td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.5 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu110/torch1.7/index.html\n</code></pre> </details> </td> </tr> <tr>\n<td align=\"left\">10.2</td>\n<td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.5 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu102/torch1.9/index.html\n</code></pre> </details> </td> <td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.5 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu102/torch1.8/index.html\n</code></pre> </details> </td> <td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.5 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu102/torch1.7/index.html\n</code></pre> </details> </td> </tr> <tr>\n<td align=\"left\">10.1</td>\n<td align=\"left\"> </td> <td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.5 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu101/torch1.8/index.html\n</code></pre> </details> </td> <td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.5 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu101/torch1.7/index.html\n</code></pre> </details> </td> </tr> <tr>\n<td align=\"left\">9.2</td>\n<td align=\"left\"> </td> <td align=\"left\"> </td> <td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.5 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu92/torch1.7/index.html\n</code></pre> </details> </td> </tr> <tr>\n<td align=\"left\">cpu</td>\n<td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.5 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cpu/torch1.9/index.html\n</code></pre> </details> </td> <td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.5 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cpu/torch1.8/index.html\n</code></pre> </details> </td> <td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.5 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cpu/torch1.7/index.html\n</code></pre> </details> </td> </tr>\n</tbody></table>\n","assets":[]},{"id":39752554,"tag":"v0.4","author":"ppwwyyxx","name":"v0.4","draft":false,"prerelease":false,"createdAt":"2021-03-13T01:21:35Z","publishedAt":"2021-03-13T01:36:49Z","markdown":"## New Features\r\n* All common models can be converted to TorchScript format by tracing or scripting ([tutorial](https://detectron2.readthedocs.io/tutorials/deployment.html)). Requires pytorch≥1.8.\r\n* Support fvcore parameter schedulers (originally from ClassyVision) that are composable, scale-invariant, and can be used on parameters other than learning rate.\r\n* Refactor PointRend as a mask head (instead of an ROIHead).\r\n* New export and C++ deployment [examples](https://github.com/facebookresearch/detectron2/tree/master/tools/deploy).\r\n* Release [d2go](https://ai.facebook.com/blog/d2go-brings-detectron2-to-mobile/) which provides end-to-end production pipeline.\r\n## New Features in DensePose:\r\nRelease __DensePose CSE__ (a framework to extend DensePose to various categories using 3D models) and __DensePose Evolution__ (a framework to bootstrap DensePose on unlabeled data). See [here](https://github.com/facebookresearch/detectron2/blob/master/projects/DensePose/doc/RELEASE_2021_03.md) for more details.\r\n\r\n## Deprecations:\r\n* Deprecate cfg argument from COCO/LVIS evaluator; Deprecate num_classes and ignore_label argument from `SemSegEvaluator`\r\n* Deprecate `WarmupMultiStepLR`, `WarmupCosineLR` in favor of fvcore schedulers\r\n* Deprecated features will be removed in future releases\r\n\r\nPre-built Linux binaries are available for the following environment:\r\n\r\n<table class=\"docutils\"><tbody><th width=\"80\"> CUDA </th><th valign=\"bottom\" align=\"left\" width=\"100\">torch 1.8</th><th valign=\"bottom\" align=\"left\" width=\"100\">torch 1.7</th><th valign=\"bottom\" align=\"left\" width=\"100\">torch 1.6</th> <tr><td align=\"left\">11.1</td><td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.4 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu111/torch1.8/index.html\r\n</code></pre> </details> </td> <td align=\"left\"> </td> <td align=\"left\"> </td> </tr> <tr><td align=\"left\">11.0</td><td align=\"left\"> </td> <td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.4 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu110/torch1.7/index.html\r\n</code></pre> </details> </td> <td align=\"left\"> </td> </tr> <tr><td align=\"left\">10.2</td><td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.4 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu102/torch1.8/index.html\r\n</code></pre> </details> </td> <td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.4 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu102/torch1.7/index.html\r\n</code></pre> </details> </td> <td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.4 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu102/torch1.6/index.html\r\n</code></pre> </details> </td> </tr> <tr><td align=\"left\">10.1</td><td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.4 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu101/torch1.8/index.html\r\n</code></pre> </details> </td> <td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.4 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu101/torch1.7/index.html\r\n</code></pre> </details> </td> <td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.4 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu101/torch1.6/index.html\r\n</code></pre> </details> </td> </tr> <tr><td align=\"left\">9.2</td><td align=\"left\"> </td> <td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.4 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu92/torch1.7/index.html\r\n</code></pre> </details> </td> <td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.4 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu92/torch1.6/index.html\r\n</code></pre> </details> </td> </tr> <tr><td align=\"left\">cpu</td><td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.4 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cpu/torch1.8/index.html\r\n</code></pre> </details> </td> <td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.4 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cpu/torch1.7/index.html\r\n</code></pre> </details> </td> <td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.4 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cpu/torch1.6/index.html\r\n</code></pre> </details> </td> </tr></tbody></table>\r\n\r\n","html":"<div class=\"markdown-heading\"><h2 class=\"heading-element\">New Features</h2><a id=\"user-content-new-features\" class=\"anchor\" aria-label=\"Permalink: New Features\" href=\"#new-features\"><span aria-hidden=\"true\" class=\"octicon octicon-link\"></span></a></div>\n<ul>\n<li>All common models can be converted to TorchScript format by tracing or scripting (<a href=\"https://detectron2.readthedocs.io/tutorials/deployment.html\" rel=\"nofollow\">tutorial</a>). Requires pytorch≥1.8.</li>\n<li>Support fvcore parameter schedulers (originally from ClassyVision) that are composable, scale-invariant, and can be used on parameters other than learning rate.</li>\n<li>Refactor PointRend as a mask head (instead of an ROIHead).</li>\n<li>New export and C++ deployment <a href=\"https://github.com/facebookresearch/detectron2/tree/master/tools/deploy\">examples</a>.</li>\n<li>Release <a href=\"https://ai.facebook.com/blog/d2go-brings-detectron2-to-mobile/\" rel=\"nofollow\">d2go</a> which provides end-to-end production pipeline.</li>\n</ul>\n<div class=\"markdown-heading\"><h2 class=\"heading-element\">New Features in DensePose:</h2><a id=\"user-content-new-features-in-densepose\" class=\"anchor\" aria-label=\"Permalink: New Features in DensePose:\" href=\"#new-features-in-densepose\"><span aria-hidden=\"true\" class=\"octicon octicon-link\"></span></a></div>\n<p>Release <strong>DensePose CSE</strong> (a framework to extend DensePose to various categories using 3D models) and <strong>DensePose Evolution</strong> (a framework to bootstrap DensePose on unlabeled data). See <a href=\"https://github.com/facebookresearch/detectron2/blob/master/projects/DensePose/doc/RELEASE_2021_03.md\">here</a> for more details.</p>\n<div class=\"markdown-heading\"><h2 class=\"heading-element\">Deprecations:</h2><a id=\"user-content-deprecations\" class=\"anchor\" aria-label=\"Permalink: Deprecations:\" href=\"#deprecations\"><span aria-hidden=\"true\" class=\"octicon octicon-link\"></span></a></div>\n<ul>\n<li>Deprecate cfg argument from COCO/LVIS evaluator; Deprecate num_classes and ignore_label argument from <code>SemSegEvaluator</code>\n</li>\n<li>Deprecate <code>WarmupMultiStepLR</code>, <code>WarmupCosineLR</code> in favor of fvcore schedulers</li>\n<li>Deprecated features will be removed in future releases</li>\n</ul>\n<p>Pre-built Linux binaries are available for the following environment:</p>\n<table><tbody>\n<tr><th width=\"80\"> CUDA </th>\n<th valign=\"bottom\" align=\"left\" width=\"100\">torch 1.8</th>\n<th valign=\"bottom\" align=\"left\" width=\"100\">torch 1.7</th>\n<th valign=\"bottom\" align=\"left\" width=\"100\">torch 1.6</th> </tr><tr>\n<td align=\"left\">11.1</td>\n<td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.4 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu111/torch1.8/index.html\n</code></pre> </details> </td> <td align=\"left\"> </td> <td align=\"left\"> </td> </tr> <tr>\n<td align=\"left\">11.0</td>\n<td align=\"left\"> </td> <td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.4 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu110/torch1.7/index.html\n</code></pre> </details> </td> <td align=\"left\"> </td> </tr> <tr>\n<td align=\"left\">10.2</td>\n<td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.4 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu102/torch1.8/index.html\n</code></pre> </details> </td> <td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.4 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu102/torch1.7/index.html\n</code></pre> </details> </td> <td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.4 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu102/torch1.6/index.html\n</code></pre> </details> </td> </tr> <tr>\n<td align=\"left\">10.1</td>\n<td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.4 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu101/torch1.8/index.html\n</code></pre> </details> </td> <td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.4 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu101/torch1.7/index.html\n</code></pre> </details> </td> <td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.4 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu101/torch1.6/index.html\n</code></pre> </details> </td> </tr> <tr>\n<td align=\"left\">9.2</td>\n<td align=\"left\"> </td> <td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.4 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu92/torch1.7/index.html\n</code></pre> </details> </td> <td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.4 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu92/torch1.6/index.html\n</code></pre> </details> </td> </tr> <tr>\n<td align=\"left\">cpu</td>\n<td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.4 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cpu/torch1.8/index.html\n</code></pre> </details> </td> <td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.4 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cpu/torch1.7/index.html\n</code></pre> </details> </td> <td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.4 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cpu/torch1.6/index.html\n</code></pre> </details> </td> </tr>\n</tbody></table>\n","assets":[]},{"id":33537147,"tag":"v0.3","author":"ppwwyyxx","name":"v0.3","draft":false,"prerelease":false,"createdAt":"2020-11-06T02:23:48Z","publishedAt":"2020-11-06T03:20:56Z","markdown":"## Features & Improvements:\r\n* Support constructing RetinaNet, data loader, optimizer, COCOEvaluator without configs, in addition to Mask R-CNN.\r\n* Add [DeepLab](https://github.com/facebookresearch/detectron2/tree/master/projects/DeepLab) & [PanopticDeepLab](https://github.com/facebookresearch/detectron2/tree/master/projects/Panoptic-DeepLab) in `projects/`.\r\n* Support importing 3 projects (`point_rend`, `deeplab`, `panoptic_deeplab`) directly with `import detectron2.projects.xxx`.\r\n* Support mixed precision in training (using `cfg.SOLVER.AMP.ENABLED`) and inference.\r\n* Support ADE20k semantic segmentation dataset (named `ade20k_sem_seg_train`, `ade20k_sem_seg_val`).\r\n* Continuous build on Windows.\r\n\r\nPre-built Linux binaries are provided for the following environment:\r\n\r\n<table class=\"docutils\"><tbody><th width=\"80\"> CUDA </th><th valign=\"bottom\" align=\"left\" width=\"100\">torch 1.7</th><th valign=\"bottom\" align=\"left\" width=\"100\">torch 1.6</th><th valign=\"bottom\" align=\"left\" width=\"100\">torch 1.5</th> <tr><td align=\"left\">11.0</td><td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.3 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu110/torch1.7/index.html\r\n</code></pre> </details> </td> <td align=\"left\"> </td> <td align=\"left\"> </td> </tr> <tr><td align=\"left\">10.2</td><td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.3 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu102/torch1.7/index.html\r\n</code></pre> </details> </td> <td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.3 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu102/torch1.6/index.html\r\n</code></pre> </details> </td> <td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.3 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu102/torch1.5/index.html\r\n</code></pre> </details> </td> </tr> <tr><td align=\"left\">10.1</td><td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.3 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu101/torch1.7/index.html\r\n</code></pre> </details> </td> <td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.3 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu101/torch1.6/index.html\r\n</code></pre> </details> </td> <td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.3 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu101/torch1.5/index.html\r\n</code></pre> </details> </td> </tr> <tr><td align=\"left\">9.2</td><td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.3 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu92/torch1.7/index.html\r\n</code></pre> </details> </td> <td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.3 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu92/torch1.6/index.html\r\n</code></pre> </details> </td> <td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.3 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu92/torch1.5/index.html\r\n</code></pre> </details> </td> </tr> <tr><td align=\"left\">cpu</td><td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.3 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cpu/torch1.7/index.html\r\n</code></pre> </details> </td> <td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.3 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cpu/torch1.6/index.html\r\n</code></pre> </details> </td> <td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.3 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cpu/torch1.5/index.html\r\n</code></pre> </details> </td> </tr></tbody></table>\r\n","html":"<div class=\"markdown-heading\"><h2 class=\"heading-element\">Features &amp; Improvements:</h2><a id=\"user-content-features--improvements\" class=\"anchor\" aria-label=\"Permalink: Features &amp; Improvements:\" href=\"#features--improvements\"><span aria-hidden=\"true\" class=\"octicon octicon-link\"></span></a></div>\n<ul>\n<li>Support constructing RetinaNet, data loader, optimizer, COCOEvaluator without configs, in addition to Mask R-CNN.</li>\n<li>Add <a href=\"https://github.com/facebookresearch/detectron2/tree/master/projects/DeepLab\">DeepLab</a> &amp; <a href=\"https://github.com/facebookresearch/detectron2/tree/master/projects/Panoptic-DeepLab\">PanopticDeepLab</a> in <code>projects/</code>.</li>\n<li>Support importing 3 projects (<code>point_rend</code>, <code>deeplab</code>, <code>panoptic_deeplab</code>) directly with <code>import detectron2.projects.xxx</code>.</li>\n<li>Support mixed precision in training (using <code>cfg.SOLVER.AMP.ENABLED</code>) and inference.</li>\n<li>Support ADE20k semantic segmentation dataset (named <code>ade20k_sem_seg_train</code>, <code>ade20k_sem_seg_val</code>).</li>\n<li>Continuous build on Windows.</li>\n</ul>\n<p>Pre-built Linux binaries are provided for the following environment:</p>\n<table><tbody>\n<tr><th width=\"80\"> CUDA </th>\n<th valign=\"bottom\" align=\"left\" width=\"100\">torch 1.7</th>\n<th valign=\"bottom\" align=\"left\" width=\"100\">torch 1.6</th>\n<th valign=\"bottom\" align=\"left\" width=\"100\">torch 1.5</th> </tr><tr>\n<td align=\"left\">11.0</td>\n<td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.3 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu110/torch1.7/index.html\n</code></pre> </details> </td> <td align=\"left\"> </td> <td align=\"left\"> </td> </tr> <tr>\n<td align=\"left\">10.2</td>\n<td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.3 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu102/torch1.7/index.html\n</code></pre> </details> </td> <td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.3 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu102/torch1.6/index.html\n</code></pre> </details> </td> <td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.3 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu102/torch1.5/index.html\n</code></pre> </details> </td> </tr> <tr>\n<td align=\"left\">10.1</td>\n<td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.3 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu101/torch1.7/index.html\n</code></pre> </details> </td> <td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.3 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu101/torch1.6/index.html\n</code></pre> </details> </td> <td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.3 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu101/torch1.5/index.html\n</code></pre> </details> </td> </tr> <tr>\n<td align=\"left\">9.2</td>\n<td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.3 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu92/torch1.7/index.html\n</code></pre> </details> </td> <td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.3 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu92/torch1.6/index.html\n</code></pre> </details> </td> <td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.3 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu92/torch1.5/index.html\n</code></pre> </details> </td> </tr> <tr>\n<td align=\"left\">cpu</td>\n<td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.3 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cpu/torch1.7/index.html\n</code></pre> </details> </td> <td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.3 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cpu/torch1.6/index.html\n</code></pre> </details> </td> <td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.3 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cpu/torch1.5/index.html\n</code></pre> </details> </td> </tr>\n</tbody></table>\n","assets":[]},{"id":29338922,"tag":"v0.2.1","author":"ppwwyyxx","name":"v0.2.1","draft":false,"prerelease":false,"createdAt":"2020-07-30T07:23:23Z","publishedAt":"2020-08-04T23:11:10Z","markdown":"* Added pre-built binary for PyTorch 1.6\r\n\r\n<table class=\"docutils\"><tbody><th width=\"80\"> CUDA </th><th valign=\"bottom\" align=\"left\" width=\"100\">torch 1.6</th><th valign=\"bottom\" align=\"left\" width=\"100\">torch 1.5</th><th valign=\"bottom\" align=\"left\" width=\"100\">torch 1.4</th> <tr><td align=\"left\">10.2</td><td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.2.1 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu102/torch1.6/index.html\r\n</code></pre> </details> </td> <td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.2.1 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu102/torch1.5/index.html\r\n</code></pre> </details> </td> <td align=\"left\"> </td> </tr> <tr><td align=\"left\">10.1</td><td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.2.1 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu101/torch1.6/index.html\r\n</code></pre> </details> </td> <td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.2.1 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu101/torch1.5/index.html\r\n</code></pre> </details> </td> <td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.2.1 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu101/torch1.4/index.html\r\n</code></pre> </details> </td> </tr> <tr><td align=\"left\">10.0</td><td align=\"left\"> </td> <td align=\"left\"> </td> <td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.2.1 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu100/torch1.4/index.html\r\n</code></pre> </details> </td> </tr> <tr><td align=\"left\">9.2</td><td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.2.1 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu92/torch1.6/index.html\r\n</code></pre> </details> </td> <td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.2.1 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu92/torch1.5/index.html\r\n</code></pre> </details> </td> <td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.2.1 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu92/torch1.4/index.html\r\n</code></pre> </details> </td> </tr> <tr><td align=\"left\">cpu</td><td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.2.1 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cpu/torch1.6/index.html\r\n</code></pre> </details> </td> <td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.2.1 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cpu/torch1.5/index.html\r\n</code></pre> </details> </td> <td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.2.1 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cpu/torch1.4/index.html\r\n</code></pre> </details> </td> </tr></tbody></table>","html":"<ul>\n<li>Added pre-built binary for PyTorch 1.6</li>\n</ul>\n<table><tbody>\n<tr><th width=\"80\"> CUDA </th>\n<th valign=\"bottom\" align=\"left\" width=\"100\">torch 1.6</th>\n<th valign=\"bottom\" align=\"left\" width=\"100\">torch 1.5</th>\n<th valign=\"bottom\" align=\"left\" width=\"100\">torch 1.4</th> </tr><tr>\n<td align=\"left\">10.2</td>\n<td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.2.1 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu102/torch1.6/index.html\n</code></pre> </details> </td> <td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.2.1 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu102/torch1.5/index.html\n</code></pre> </details> </td> <td align=\"left\"> </td> </tr> <tr>\n<td align=\"left\">10.1</td>\n<td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.2.1 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu101/torch1.6/index.html\n</code></pre> </details> </td> <td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.2.1 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu101/torch1.5/index.html\n</code></pre> </details> </td> <td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.2.1 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu101/torch1.4/index.html\n</code></pre> </details> </td> </tr> <tr>\n<td align=\"left\">10.0</td>\n<td align=\"left\"> </td> <td align=\"left\"> </td> <td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.2.1 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu100/torch1.4/index.html\n</code></pre> </details> </td> </tr> <tr>\n<td align=\"left\">9.2</td>\n<td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.2.1 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu92/torch1.6/index.html\n</code></pre> </details> </td> <td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.2.1 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu92/torch1.5/index.html\n</code></pre> </details> </td> <td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.2.1 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu92/torch1.4/index.html\n</code></pre> </details> </td> </tr> <tr>\n<td align=\"left\">cpu</td>\n<td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.2.1 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cpu/torch1.6/index.html\n</code></pre> </details> </td> <td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.2.1 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cpu/torch1.5/index.html\n</code></pre> </details> </td> <td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.2.1 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cpu/torch1.4/index.html\n</code></pre> </details> </td> </tr>\n</tbody></table>\n","assets":[]},{"id":28378032,"tag":"v0.2","author":"ppwwyyxx","name":"v0.2","draft":false,"prerelease":false,"createdAt":"2020-07-08T21:04:49Z","publishedAt":"2020-07-08T21:48:55Z","markdown":"### Features & Improvements:\r\n* Support constructing objects with either configs or explicit arguments. As [an example](https://detectron2.readthedocs.io/tutorials/extend.html), the entire Mask R-CNN can be built without using configs\r\n* Rename `TransformGen` to `Augmentation` and keep `TransformGen` as an alias. Design the interface of `Augmentation` so that it can access arbitrary custom data types. See [augmentation tutorial](https://detectron2.readthedocs.io/tutorials/augmentation.html) for details.\r\n* Improve speed of `COCOEvaluator` by about 3x\r\n* Support LVIS v1 dataset\r\n* Support GIoU loss in RPN and R-CNN\r\n* Support auto-scaling of batch size and learning rate in `DefaultTrainer`. See [cfg.SOLVER.REFERENCE_WORLD_SIZE](https://detectron2.readthedocs.io/modules/config.html#config-references)\r\n\r\nPre-built Linux binaries are provided for the following environment:\r\n<table class=\"docutils\"><tbody><th width=\"80\"> CUDA </th><th valign=\"bottom\" align=\"left\" width=\"100\">torch 1.5</th><th valign=\"bottom\" align=\"left\" width=\"100\">torch 1.4</th> <tr><td align=\"left\">10.2</td><td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.2 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu102/torch1.5/index.html\r\n</code></pre> </details> </td> <td align=\"left\"> </td> </tr> <tr><td align=\"left\">10.1</td><td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.2 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu101/torch1.5/index.html\r\n</code></pre> </details> </td> <td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.2 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu101/torch1.4/index.html\r\n</code></pre> </details> </td> </tr> <tr><td align=\"left\">10.0</td><td align=\"left\"> </td> <td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.2 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu100/torch1.4/index.html\r\n</code></pre> </details> </td> </tr> <tr><td align=\"left\">9.2</td><td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.2 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu92/torch1.5/index.html\r\n</code></pre> </details> </td> <td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.2 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu92/torch1.4/index.html\r\n</code></pre> </details> </td> </tr> <tr><td align=\"left\">cpu</td><td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.2 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cpu/torch1.5/index.html\r\n</code></pre> </details> </td> <td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.2 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cpu/torch1.4/index.html\r\n</code></pre> </details> </td> </tr></tbody></table>\r\n\r\n","html":"<div class=\"markdown-heading\"><h3 class=\"heading-element\">Features &amp; Improvements:</h3><a id=\"user-content-features--improvements\" class=\"anchor\" aria-label=\"Permalink: Features &amp; Improvements:\" href=\"#features--improvements\"><span aria-hidden=\"true\" class=\"octicon octicon-link\"></span></a></div>\n<ul>\n<li>Support constructing objects with either configs or explicit arguments. As <a href=\"https://detectron2.readthedocs.io/tutorials/extend.html\" rel=\"nofollow\">an example</a>, the entire Mask R-CNN can be built without using configs</li>\n<li>Rename <code>TransformGen</code> to <code>Augmentation</code> and keep <code>TransformGen</code> as an alias. Design the interface of <code>Augmentation</code> so that it can access arbitrary custom data types. See <a href=\"https://detectron2.readthedocs.io/tutorials/augmentation.html\" rel=\"nofollow\">augmentation tutorial</a> for details.</li>\n<li>Improve speed of <code>COCOEvaluator</code> by about 3x</li>\n<li>Support LVIS v1 dataset</li>\n<li>Support GIoU loss in RPN and R-CNN</li>\n<li>Support auto-scaling of batch size and learning rate in <code>DefaultTrainer</code>. See <a href=\"https://detectron2.readthedocs.io/modules/config.html#config-references\" rel=\"nofollow\">cfg.SOLVER.REFERENCE_WORLD_SIZE</a>\n</li>\n</ul>\n<p>Pre-built Linux binaries are provided for the following environment:</p>\n<table><tbody>\n<tr><th width=\"80\"> CUDA </th>\n<th valign=\"bottom\" align=\"left\" width=\"100\">torch 1.5</th>\n<th valign=\"bottom\" align=\"left\" width=\"100\">torch 1.4</th> </tr><tr>\n<td align=\"left\">10.2</td>\n<td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.2 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu102/torch1.5/index.html\n</code></pre> </details> </td> <td align=\"left\"> </td> </tr> <tr>\n<td align=\"left\">10.1</td>\n<td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.2 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu101/torch1.5/index.html\n</code></pre> </details> </td> <td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.2 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu101/torch1.4/index.html\n</code></pre> </details> </td> </tr> <tr>\n<td align=\"left\">10.0</td>\n<td align=\"left\"> </td> <td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.2 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu100/torch1.4/index.html\n</code></pre> </details> </td> </tr> <tr>\n<td align=\"left\">9.2</td>\n<td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.2 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu92/torch1.5/index.html\n</code></pre> </details> </td> <td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.2 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu92/torch1.4/index.html\n</code></pre> </details> </td> </tr> <tr>\n<td align=\"left\">cpu</td>\n<td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.2 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cpu/torch1.5/index.html\n</code></pre> </details> </td> <td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.2 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cpu/torch1.4/index.html\n</code></pre> </details> </td> </tr>\n</tbody></table>\n","assets":[]},{"id":26594468,"tag":"v0.1.3","author":"ppwwyyxx","name":"v0.1.3","draft":false,"prerelease":false,"createdAt":"2020-05-16T08:17:41Z","publishedAt":"2020-05-17T00:47:58Z","markdown":"Bugfix version.\r\n\r\nWe started to release pre-built wheels for multiple PyTorch versions:\r\n\r\n<table class=\"docutils\"><tbody><th width=\"80\"> CUDA </th><th valign=\"bottom\" align=\"left\" width=\"100\">torch 1.5</th><th valign=\"bottom\" align=\"left\" width=\"100\">torch 1.4</th> <tr><td align=\"left\">10.2</td><td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.1.3 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu102/torch1.5/index.html\r\n</code></pre> </details> </td> <td align=\"left\"> </td> </tr> <tr><td align=\"left\">10.1</td><td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.1.3 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu101/torch1.5/index.html\r\n</code></pre> </details> </td> <td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.1.3 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu101/torch1.4/index.html\r\n</code></pre> </details> </td> </tr> <tr><td align=\"left\">10.0</td><td align=\"left\"> </td> <td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.1.3 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu100/torch1.4/index.html\r\n</code></pre> </details> </td> </tr> <tr><td align=\"left\">9.2</td><td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.1.3 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu92/torch1.5/index.html\r\n</code></pre> </details> </td> <td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.1.3 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu92/torch1.4/index.html\r\n</code></pre> </details> </td> </tr> <tr><td align=\"left\">cpu</td><td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.1.3 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cpu/torch1.5/index.html\r\n</code></pre> </details> </td> <td align=\"left\"><details><summary> install </summary><pre><code>python -m pip install detectron2==0.1.3 -f \\\r\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cpu/torch1.4/index.html\r\n</code></pre> </details> </td> </tr></tbody></table>\r\n\r\n## Incompatible changes about internal interface:\r\n* `_init_{box,mask,keypoint}_head` of `StandardROIHeads` was changed from instance method to class method.","html":"<p>Bugfix version.</p>\n<p>We started to release pre-built wheels for multiple PyTorch versions:</p>\n<table><tbody>\n<tr><th width=\"80\"> CUDA </th>\n<th valign=\"bottom\" align=\"left\" width=\"100\">torch 1.5</th>\n<th valign=\"bottom\" align=\"left\" width=\"100\">torch 1.4</th> </tr><tr>\n<td align=\"left\">10.2</td>\n<td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.1.3 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu102/torch1.5/index.html\n</code></pre> </details> </td> <td align=\"left\"> </td> </tr> <tr>\n<td align=\"left\">10.1</td>\n<td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.1.3 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu101/torch1.5/index.html\n</code></pre> </details> </td> <td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.1.3 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu101/torch1.4/index.html\n</code></pre> </details> </td> </tr> <tr>\n<td align=\"left\">10.0</td>\n<td align=\"left\"> </td> <td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.1.3 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu100/torch1.4/index.html\n</code></pre> </details> </td> </tr> <tr>\n<td align=\"left\">9.2</td>\n<td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.1.3 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu92/torch1.5/index.html\n</code></pre> </details> </td> <td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.1.3 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cu92/torch1.4/index.html\n</code></pre> </details> </td> </tr> <tr>\n<td align=\"left\">cpu</td>\n<td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.1.3 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cpu/torch1.5/index.html\n</code></pre> </details> </td> <td align=\"left\">\n<details><summary> install </summary><pre><code>python -m pip install detectron2==0.1.3 -f \\\n  https://dl.fbaipublicfiles.com/detectron2/wheels/cpu/torch1.4/index.html\n</code></pre> </details> </td> </tr>\n</tbody></table>\n<div class=\"markdown-heading\"><h2 class=\"heading-element\">Incompatible changes about internal interface:</h2><a id=\"user-content-incompatible-changes-about-internal-interface\" class=\"anchor\" aria-label=\"Permalink: Incompatible changes about internal interface:\" href=\"#incompatible-changes-about-internal-interface\"><span aria-hidden=\"true\" class=\"octicon octicon-link\"></span></a></div>\n<ul>\n<li>\n<code>_init_{box,mask,keypoint}_head</code> of <code>StandardROIHeads</code> was changed from instance method to class method.</li>\n</ul>\n","assets":[]},{"id":26153501,"tag":"v0.1.2","author":"ppwwyyxx","name":"v0.1.2","draft":false,"prerelease":false,"createdAt":"2020-05-04T17:48:25Z","publishedAt":"2020-05-04T17:52:59Z","markdown":"The pre-built wheels for this version have to be used with an official binary release of PyTorch 1.5.\r\n\r\n## Improvements:\r\n* Add semantic segmentation models to [PointRend](https://github.com/facebookresearch/detectron2/tree/master/projects/PointRend/)\r\n* Add examples to load a detectron2 model in C++\r\n* New models that reproduce [Rethinking ImageNet Pre-training](https://arxiv.org/abs/1811.08883)\r\n* Lots of new features in [DensePose](https://github.com/facebookresearch/detectron2/tree/master/projects/DensePose), see below\r\n* Fix a few bugs in rotated box computation\r\n\r\n## Incompatible changes:\r\n* When loading a checkpoint with [`resume_or_load()`](https://detectron2.readthedocs.io/modules/engine.html#detectron2.engine.defaults.DefaultTrainer.resume_or_load), training states like `optimizer`, `start_iter` will only be loaded when `resume` is True and the last checkpoint is found. This matches users’ expectations better\r\n* `.output_size` in custom box head is renamed to `.output_shape`\r\n* anchor_generator no longer duplicates the anchors for each image\r\n* `feature_strides` and `feature_channels` attributes are removed from `ROIHeads`. Use the input argument `input_shape` instead.\r\n## New in DensePose:\r\n* New evaluation metric (GPSm) that yields more reliable scores\r\n* Panoptic FPN head implementation following [Panoptic Feature Pyramid Networks](https://arxiv.org/pdf/1901.02446.pdf)\r\n* DeepLabV3 head implementation following [Rethinking Atrous Convolution for Semantic Image Segmentation](https://arxiv.org/pdf/1706.05587.pdf)\r\n* Models with confidence estimation: implementation of the paper [Correlated Uncertainty for Learning Dense Correspondences from Noisy Labels](https://papers.nips.cc/paper/8378-correlated-uncertainty-for-learning-dense-correspondences-from-noisy-labels.pdf)\r\n* Contributions to the Model Zoo (for details please see the [Model Zoo page](https://github.com/facebookresearch/detectron2/blob/master/projects/DensePose/doc/MODEL_ZOO.md)):\r\n  * Panoptic FPN and tuned hyperparameters for the original fully convolutional DensePose head: the performance of the existing R50 and R101 baselines improved by +10 AP\r\n  * Panoptic FPN with DeepLabV3 head for DensePose: gives additional improvement of +2 AP\r\n  * Models with confidence estimation\r\n* Test time augmentations for DensePose (additional improvement of about +0.5 AP)\r\n","html":"<p>The pre-built wheels for this version have to be used with an official binary release of PyTorch 1.5.</p>\n<div class=\"markdown-heading\"><h2 class=\"heading-element\">Improvements:</h2><a id=\"user-content-improvements\" class=\"anchor\" aria-label=\"Permalink: Improvements:\" href=\"#improvements\"><span aria-hidden=\"true\" class=\"octicon octicon-link\"></span></a></div>\n<ul>\n<li>Add semantic segmentation models to <a href=\"https://github.com/facebookresearch/detectron2/tree/master/projects/PointRend/\">PointRend</a>\n</li>\n<li>Add examples to load a detectron2 model in C++</li>\n<li>New models that reproduce <a href=\"https://arxiv.org/abs/1811.08883\" rel=\"nofollow\">Rethinking ImageNet Pre-training</a>\n</li>\n<li>Lots of new features in <a href=\"https://github.com/facebookresearch/detectron2/tree/master/projects/DensePose\">DensePose</a>, see below</li>\n<li>Fix a few bugs in rotated box computation</li>\n</ul>\n<div class=\"markdown-heading\"><h2 class=\"heading-element\">Incompatible changes:</h2><a id=\"user-content-incompatible-changes\" class=\"anchor\" aria-label=\"Permalink: Incompatible changes:\" href=\"#incompatible-changes\"><span aria-hidden=\"true\" class=\"octicon octicon-link\"></span></a></div>\n<ul>\n<li>When loading a checkpoint with <a href=\"https://detectron2.readthedocs.io/modules/engine.html#detectron2.engine.defaults.DefaultTrainer.resume_or_load\" rel=\"nofollow\"><code>resume_or_load()</code></a>, training states like <code>optimizer</code>, <code>start_iter</code> will only be loaded when <code>resume</code> is True and the last checkpoint is found. This matches users’ expectations better</li>\n<li>\n<code>.output_size</code> in custom box head is renamed to <code>.output_shape</code>\n</li>\n<li>anchor_generator no longer duplicates the anchors for each image</li>\n<li>\n<code>feature_strides</code> and <code>feature_channels</code> attributes are removed from <code>ROIHeads</code>. Use the input argument <code>input_shape</code> instead.</li>\n</ul>\n<div class=\"markdown-heading\"><h2 class=\"heading-element\">New in DensePose:</h2><a id=\"user-content-new-in-densepose\" class=\"anchor\" aria-label=\"Permalink: New in DensePose:\" href=\"#new-in-densepose\"><span aria-hidden=\"true\" class=\"octicon octicon-link\"></span></a></div>\n<ul>\n<li>New evaluation metric (GPSm) that yields more reliable scores</li>\n<li>Panoptic FPN head implementation following <a href=\"https://arxiv.org/pdf/1901.02446.pdf\" rel=\"nofollow\">Panoptic Feature Pyramid Networks</a>\n</li>\n<li>DeepLabV3 head implementation following <a href=\"https://arxiv.org/pdf/1706.05587.pdf\" rel=\"nofollow\">Rethinking Atrous Convolution for Semantic Image Segmentation</a>\n</li>\n<li>Models with confidence estimation: implementation of the paper <a href=\"https://papers.nips.cc/paper/8378-correlated-uncertainty-for-learning-dense-correspondences-from-noisy-labels.pdf\" rel=\"nofollow\">Correlated Uncertainty for Learning Dense Correspondences from Noisy Labels</a>\n</li>\n<li>Contributions to the Model Zoo (for details please see the <a href=\"https://github.com/facebookresearch/detectron2/blob/master/projects/DensePose/doc/MODEL_ZOO.md\">Model Zoo page</a>):\n<ul>\n<li>Panoptic FPN and tuned hyperparameters for the original fully convolutional DensePose head: the performance of the existing R50 and R101 baselines improved by +10 AP</li>\n<li>Panoptic FPN with DeepLabV3 head for DensePose: gives additional improvement of +2 AP</li>\n<li>Models with confidence estimation</li>\n</ul>\n</li>\n<li>Test time augmentations for DensePose (additional improvement of about +0.5 AP)</li>\n</ul>\n","assets":[]},{"id":24263591,"tag":"v0.1.1","author":"ppwwyyxx","name":"v0.1.1","draft":false,"prerelease":false,"createdAt":"2020-02-25T19:11:31Z","publishedAt":"2020-03-05T18:32:24Z","markdown":"## Incompatible changes about head design:\r\n* Mask head and keypoint head now include logic for losses & inference. Custom heads should overwrite the feature computation by `layers()` method. \r\n* `_forward_{box,mask,keypoint}` methods of `StandardROIHeads` now accept dict of features.\r\n\r\nThis release is made to be compatible with such changes in projects ([Mesh R-CNN](https://github.com/facebookresearch/meshrcnn), [PointRend](https://github.com/facebookresearch/detectron2/tree/master/projects/PointRend), etc)\r\n\r\n## Other additional features:\r\n* [flops & parameters counting](https://detectron2.readthedocs.io/modules/utils.html#module-detectron2.utils.analysis)\r\n* Improve speed & RAM consumption of data loader\r\n\r\nThe pre-built wheels for this version have to be used with an official binary release of PyTorch 1.4.","html":"<div class=\"markdown-heading\"><h2 class=\"heading-element\">Incompatible changes about head design:</h2><a id=\"user-content-incompatible-changes-about-head-design\" class=\"anchor\" aria-label=\"Permalink: Incompatible changes about head design:\" href=\"#incompatible-changes-about-head-design\"><span aria-hidden=\"true\" class=\"octicon octicon-link\"></span></a></div>\n<ul>\n<li>Mask head and keypoint head now include logic for losses &amp; inference. Custom heads should overwrite the feature computation by <code>layers()</code> method.</li>\n<li>\n<code>_forward_{box,mask,keypoint}</code> methods of <code>StandardROIHeads</code> now accept dict of features.</li>\n</ul>\n<p>This release is made to be compatible with such changes in projects (<a href=\"https://github.com/facebookresearch/meshrcnn\">Mesh R-CNN</a>, <a href=\"https://github.com/facebookresearch/detectron2/tree/master/projects/PointRend\">PointRend</a>, etc)</p>\n<div class=\"markdown-heading\"><h2 class=\"heading-element\">Other additional features:</h2><a id=\"user-content-other-additional-features\" class=\"anchor\" aria-label=\"Permalink: Other additional features:\" href=\"#other-additional-features\"><span aria-hidden=\"true\" class=\"octicon octicon-link\"></span></a></div>\n<ul>\n<li><a href=\"https://detectron2.readthedocs.io/modules/utils.html#module-detectron2.utils.analysis\" rel=\"nofollow\">flops &amp; parameters counting</a></li>\n<li>Improve speed &amp; RAM consumption of data loader</li>\n</ul>\n<p>The pre-built wheels for this version have to be used with an official binary release of PyTorch 1.4.</p>\n","assets":[]},{"id":23469666,"tag":"v0.1","author":"ppwwyyxx","name":"Detectron2 v0.1 Release","draft":false,"prerelease":false,"createdAt":"2020-02-07T01:22:13Z","publishedAt":"2020-02-07T05:30:13Z","markdown":"Some major additional features since open source:\r\n* Add TensorMask and PointRend in [`projects/`](https://github.com/facebookresearch/detectron2/tree/master/projects/).\r\n* Support [exporting models to caffe2 format](https://detectron2.readthedocs.io/tutorials/deployment.html#caffe2-deployment).\r\n* [`detectron2.model_zoo`](https://detectron2.readthedocs.io/modules/model_zoo.html) APIs.\r\n* Support training with segmentation annotations in binary mask format. \r\n* Support evaluating COCO-style AP for datasets in custom format.\r\n\r\nWe start to provide pre-built binary wheels at https://dl.fbaipublicfiles.com/detectron2/wheels/index.html. \r\nThe pre-built wheels for this version have to be used with an official binary release of PyTorch 1.4.","html":"<p>Some major additional features since open source:</p>\n<ul>\n<li>Add TensorMask and PointRend in <a href=\"https://github.com/facebookresearch/detectron2/tree/master/projects/\"><code>projects/</code></a>.</li>\n<li>Support <a href=\"https://detectron2.readthedocs.io/tutorials/deployment.html#caffe2-deployment\" rel=\"nofollow\">exporting models to caffe2 format</a>.</li>\n<li>\n<a href=\"https://detectron2.readthedocs.io/modules/model_zoo.html\" rel=\"nofollow\"><code>detectron2.model_zoo</code></a> APIs.</li>\n<li>Support training with segmentation annotations in binary mask format.</li>\n<li>Support evaluating COCO-style AP for datasets in custom format.</li>\n</ul>\n<p>We start to provide pre-built binary wheels at <a href=\"https://dl.fbaipublicfiles.com/detectron2/wheels/index.html\" rel=\"nofollow\">https://dl.fbaipublicfiles.com/detectron2/wheels/index.html</a>.\nThe pre-built wheels for this version have to be used with an official binary release of PyTorch 1.4.</p>\n","assets":[]}]}