From 1a66a9d292f65fec0a355264e627e3bcc3d80870 Mon Sep 17 00:00:00 2001 From: Kaipeng Deng Date: Tue, 23 Feb 2021 15:58:37 +0800 Subject: [PATCH] add 2.0rc changelog (#2254) --- README_cn.md | 2 +- README_en.md | 2 +- docs/CHANGELOG.md | 25 +++++++++++++++++++++++++ dygraph/configs/cascade_rcnn/README.md | 2 ++ dygraph/configs/faster_rcnn/README.md | 2 ++ dygraph/configs/fcos/README.md | 1 + dygraph/configs/mask_rcnn/README.md | 2 ++ dygraph/configs/solov2/README.md | 1 + 8 files changed, 35 insertions(+), 2 deletions(-) diff --git a/README_cn.md b/README_cn.md index 56f7e0177398d..9a9696ea2ee2b 100644 --- a/README_cn.md +++ b/README_cn.md @@ -250,7 +250,7 @@ PaddleDetection模块化地实现了多种主流目标检测算法，提供了 - [使用SSD-MobileNetv1完成一个项目--准备数据集到完成树莓派部署](https://github.com/PaddleCV-FAQ/PaddleDetection-FAQ/blob/main/Lite%E9%83%A8%E7%BD%B2/ssd_mobilenet_v1_for_raspi.md) ## 版本更新 -v0.5.0版本已经在`11/2020`发布，增加SOLOv2等多个模型，新增Android移动端Demo，新增PACT量化策略，新增目标检测全流程和Jetson平台部署等教程，提升易用性，修复已知诸多bug等，详细内容请参考[版本更新文档](docs/CHANGELOG.md)。 +v2.0-rc版本已经在`02/2021`发布，新增动态图版本，支持RCNN, YOLOv3, PP-YOLO, SSD/SSDLite, FCOS, TTFNet, SOLOv2等系列模型，支持模型剪裁和量化，支持预测部署及TensorRT推理加速，详细内容请参考[版本更新文档](docs/CHANGELOG.md)。 ## 许可证书 本项目的发布受[Apache 2.0 license](LICENSE)许可认证。 diff --git a/README_en.md b/README_en.md index e52176f39d90b..29e689906f5f5 100644 --- a/README_en.md +++ b/README_en.md @@ -260,7 +260,7 @@ All these models can be get in [Model Zoo](#ModelZoo) ## Updates -v0.5.0 was released at `11/2020`, add SOLOv2, etc. And add Android mobile demo, add PACT quantization strategy, add object detection full-process documentation and Jetson platform deployment tutorials, and improved ease of use, fix many known bugs, etc. Please refer to [change log](docs/CHANGELOG.md) for details. +v2.0-rc was released at `02/2021`, add dygraph version, which supports RCNN, YOLOv3, PP-YOLO, SSD/SSDLite, FCOS, TTFNet, SOLOv2, etc. supports model pruning and quantization, supports deploying and accelerating by TensorRT, etc. Please refer to [change log](docs/CHANGELOG.md) for details. ## License diff --git a/docs/CHANGELOG.md b/docs/CHANGELOG.md index 507f803bee9ce..7396663dc3049 100644 --- a/docs/CHANGELOG.md +++ b/docs/CHANGELOG.md @@ -2,6 +2,31 @@ ## 最新版本信息 +### 2.0-rc(02.23/2021) + - 动态图模型丰富度提升： + - 优化RCNN模型组网及训练方式，RCNN系列模型精度提升(依赖Paddle develop或2.0.1版本) + - 新增支持SSDLite，FCOS，TTFNet，SOLOv2系列模型 + - 新增行人和车辆垂类目标检测模型 + + - 新增动态图基础模块： + - 新增MobileNetV3，HRNet骨干网络 + - 优化RoIAlign计算逻辑，RCNN系列模型精度提升(依赖Paddle develop或2.0.1版本) + - 新增支持Synchronized Batch Norm + - 新增支持Modulated Deformable Convolution + + - 预测部署： + - 发布动态图python、C++、Serving部署解决方案及文档，支持Faster RCNN，Mask RCNN，YOLOv3，PP-YOLO，SSD，TTFNet，FCOS，SOLOv2等系列模型预测部署 + - 动态图预测部署支持TensorRT模式FP32，FP16推理加速 + + - 检测模型压缩： + - 裁剪：新增动态图裁剪支持，并发布YOLOv3-MobileNetV1裁剪模型 + - 量化：新增动态图量化支持，并发布YOLOv3-MobileNetV1和YOLOv3-MobileNetV3量化模型 + + - 文档： + - 新增动态图入门教程文档：包含安装说明，快速开始，准备数据，训练/评估/预测流程文档 + - 新增动态图进阶教程文档：包含模型压缩、推理部署文档 + - 新增动态图模型库文档 + ### v2.0-beta(12.20/2020) - 动态图支持: - 支持Faster-RCNN, Mask-RCNN, FPN, Cascade Faster/Mask RCNN, YOLOv3和SSD模型，试用版本。 diff --git a/dygraph/configs/cascade_rcnn/README.md b/dygraph/configs/cascade_rcnn/README.md index f73d65bb301e7..887f706fd115e 100644 --- a/dygraph/configs/cascade_rcnn/README.md +++ b/dygraph/configs/cascade_rcnn/README.md @@ -7,6 +7,8 @@ | ResNet50-FPN | Cascade Faster | 1 | 1x | ---- | 41.1 | - | [下载链接](https://paddledet.bj.bcebos.com/models/cascade_rcnn_r50_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/master/dygraph/configs/cascade_rcnn/cascade_rcnn_r50_fpn_1x_coco.yml) | | ResNet50-FPN | Cascade Mask | 1 | 1x | ---- | 41.8 | 36.3 | [下载链接](https://paddledet.bj.bcebos.com/models/cascade_mask_rcnn_r50_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/master/dygraph/configs/cascade_rcnn/cascade_mask_rcnn_r50_fpn_1x_coco.yml) | +**注意：** Cascade R-CNN模型精度依赖Paddle develop分支修改，精度复现须使用[每日版本](https://www.paddlepaddle.org.cn/documentation/docs/zh/install/Tables.html#whl-dev)或2.0.1版本(将于2021.03发布)，使用Paddle 2.0.0版本会有少量精度损失。 + ## Citations ``` @article{Cai_2019, diff --git a/dygraph/configs/faster_rcnn/README.md b/dygraph/configs/faster_rcnn/README.md index c7d261f100b55..826b1a1548d52 100644 --- a/dygraph/configs/faster_rcnn/README.md +++ b/dygraph/configs/faster_rcnn/README.md @@ -19,6 +19,8 @@ | ResNeXt101-vd-FPN | Faster | 1 | 1x | ---- | 43.4 | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_x101_vd_64x4d_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/master/dygraph/configs/faster_rcnn/faster_rcnn_x101_vd_64x4d_fpn_1x_coco.yml) | | ResNeXt101-vd-FPN | Faster | 1 | 2x | ---- | 44.0 | [下载链接](https://paddledet.bj.bcebos.com/models/faster_rcnn_x101_vd_64x4d_fpn_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/master/dygraph/configs/faster_rcnn/faster_rcnn_x101_vd_64x4d_fpn_2x_coco.yml) | +**注意：** Faster R-CNN模型精度依赖Paddle develop分支修改，精度复现须使用[每日版本](https://www.paddlepaddle.org.cn/documentation/docs/zh/install/Tables.html#whl-dev)或2.0.1版本(将于2021.03发布)，使用Paddle 2.0.0版本会有少量精度损失。 + ## Citations ``` @article{Ren_2017, diff --git a/dygraph/configs/fcos/README.md b/dygraph/configs/fcos/README.md index 3ccd445cae04a..604deb654752b 100644 --- a/dygraph/configs/fcos/README.md +++ b/dygraph/configs/fcos/README.md @@ -19,6 +19,7 @@ FCOS (Fully Convolutional One-Stage Object Detection) is a fast anchor-free obje **Notes:** - FCOS is trained on COCO train2017 dataset and evaluated on val2017 results of `mAP(IoU=0.5:0.95)`. +- FCOS training performace is dependented on Paddle develop branch, performance reproduction shoule based on [Paddle daily version](https://www.paddlepaddle.org.cn/documentation/docs/zh/install/Tables.html#whl-dev) or Paddle 2.0.1(will be published on 2021.03), performace will loss slightly is training base on Paddle 2.0.0 ## Citations ``` diff --git a/dygraph/configs/mask_rcnn/README.md b/dygraph/configs/mask_rcnn/README.md index 284499db7f984..1d23b6d221fb8 100644 --- a/dygraph/configs/mask_rcnn/README.md +++ b/dygraph/configs/mask_rcnn/README.md @@ -15,6 +15,8 @@ | ResNeXt101-vd-FPN | Mask | 1 | 1x | ---- | 44.0 | 39.5 | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_x101_vd_64x4d_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/master/dygraph/configs/mask_rcnn/mask_rcnn_x101_vd_64x4d_fpn_1x_coco.yml) | | ResNeXt101-vd-FPN | Mask | 1 | 2x | ---- | - | - | [下载链接](https://paddledet.bj.bcebos.com/models/mask_rcnn_x101_vd_64x4d_fpn_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/master/dygraph/configs/mask_rcnn/mask_rcnn_x101_vd_64x4d_fpn_2x_coco.yml) | +**注意：** Mask R-CNN模型精度依赖Paddle develop分支修改，精度复现须使用[每日版本](https://www.paddlepaddle.org.cn/documentation/docs/zh/install/Tables.html#whl-dev)或2.0.1版本(将于2021.03发布)，使用Paddle 2.0.0版本会有少量精度损失。 + ## Citations ``` @article{He_2017, diff --git a/dygraph/configs/solov2/README.md b/dygraph/configs/solov2/README.md index 58f7050d3d6b0..68f0bc06d7747 100644 --- a/dygraph/configs/solov2/README.md +++ b/dygraph/configs/solov2/README.md @@ -25,6 +25,7 @@ SOLOv2 (Segmenting Objects by Locations) is a fast instance segmentation framewo **Notes:** - SOLOv2 is trained on COCO train2017 dataset and evaluated on val2017 results of `mAP(IoU=0.5:0.95)`. +- SOLOv2 training performace is dependented on Paddle develop branch, performance reproduction shoule based on [Paddle daily version](https://www.paddlepaddle.org.cn/documentation/docs/zh/install/Tables.html#whl-dev) or Paddle 2.0.1(will be published on 2021.03), performace will loss slightly is training base on Paddle 2.0.0 ## Citations ```