apps/FastDeploy
1
0
Fork 0
mirror of https://github.com/PaddlePaddle/FastDeploy.git synced 2026-04-23 00:17:25 +08:00
Code Issues Actions 19 Packages Projects Releases Wiki Activity

[Quantization] Add new PaddleSeg models quantization support. (#953)

Browse Source 
* Fix links in readme

* Fix links in readme

* Update PPOCRv2/v3 examples

* Update auto compression configs

* Add neww quantization  support for paddleclas model

* Update quantized Yolov6s model download link

* Improve PPOCR comments

* Add English doc for quantization

* Fix PPOCR rec model bug

* Add  new paddleseg quantization support

* Add  new paddleseg quantization support

* Add  new paddleseg quantization support

* Add  new paddleseg quantization support
This commit is contained in:
yunyaoXYY
2022-12-25 16:33:57 +08:00
committed by GitHub
parent 2431890f73
commit 2d3d941372
5 changed files with 120 additions and 3 deletions
Download Patch File Download Diff File Expand all files Collapse all files
tools/common_tools/auto_compression/README_EN.md
+5 -1
View File
@@ -103,7 +103,7 @@ To complete the quantization, developers only need to provide a customized model
## 3. FastDeploy One-Click Model Auto Compression Config file examples
FastDeploy currently provides users with compression [config](./configs/) files of multiple models, and the corresponding FP32 model, Users can directly download and experience it.
| Config文件 | 待压缩的FP32模型 | 备注 |
| Config file | FP32 model | Note |
| -------------------- | ------------------------------------------------------------ |----------------------------------------- |
| [mobilenetv1_ssld_quant](./configs/classification/mobilenetv1_ssld_quant.yaml) | [mobilenetv1_ssld](https://bj.bcebos.com/paddlehub/fastdeploy/MobileNetV1_ssld_infer.tgz) | |
| [resnet50_vd_quant](./configs/classification/resnet50_vd_quant.yaml) | [resnet50_vd](https://bj.bcebos.com/paddlehub/fastdeploy/ResNet50_vd_infer.tgz) | |
@@ -117,6 +117,10 @@ FastDeploy currently provides users with compression [config](./configs/) files
| [ppyoloe_withNMS_quant](./configs/detection/ppyoloe_withNMS_quant.yaml) | [ppyoloe_l](https://bj.bcebos.com/v1/paddle-slim-models/act/ppyoloe_crn_l_300e_coco.tar) | Support PPYOLOE's s,m,l,x series models, export the model normally when exporting the model from PaddleDetection, do not remove NMS |
| [ppyoloe_plus_withNMS_quant](./configs/detection/ppyoloe_plus_withNMS_quant.yaml) | [ppyoloe_plus_s](https://bj.bcebos.com/paddlehub/fastdeploy/ppyoloe_plus_crn_s_80e_coco.tar) | Support PPYOLOE+'s s,m,l,x series models, export the model normally when exporting the model from PaddleDetection, do not remove NMS |
| [pp_liteseg_quant](./configs/segmentation/pp_liteseg_quant.yaml) | [pp_liteseg](https://bj.bcebos.com/paddlehub/fastdeploy/PP_LiteSeg_T_STDC1_cityscapes_without_argmax_infer.tgz) | |
| [deeplabv3_resnet_quant](./configs/segmentation/deeplabv3_resnet_quant.yaml) | [deeplabv3_resnet101](https://bj.bcebos.com/paddlehub/fastdeploy/Deeplabv3_ResNet101_OS8_cityscapes_without_argmax_infer.tgz) | |
| [fcn_hrnet_quant](./configs/segmentation/fcn_hrnet_quant.yaml) | [fcn_hrnet](https://bj.bcebos.com/paddlehub/fastdeploy/FCN_HRNet_W18_cityscapes_without_argmax_infer.tgz) | |
| [unet_quant](./configs/segmentation/unet_quant.yaml) | [unet](https://bj.bcebos.com/paddlehub/fastdeploy/Unet_cityscapes_without_argmax_infer.tgz) | | |
## 3. Deploy quantized models on FastDeploy