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PaddleDetection
未验证 提交 ef1ed933 编写于 作者: K Kaipeng Deng 提交者： GitHub
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update prune model zoo (#232)

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slim/MODEL_ZOO.md
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### YOLOv3 on COCO
| 骨架网络 | 剪裁策略 | 输入尺寸 | Box AP | 下载 |
| :----------------| :-------: | :------: | :-----: | :-----------------------------------------------------: |
| ResNet50-vd-dcn | sensity | 608 | 39.8 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_r50_dcn_prune1x.tar) |
| ResNet50-vd-dcn | r578 | 608 | 38.3 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_r50_dcn_prune578.tar) |
| MobileNetV1 | sensity | 608 | 30.2 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_prune1x.tar) |
| MobileNetV1 | sensity | 416 | 29.7 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_prune1x.tar) |
| MobileNetV1 | sensity | 320 | 27.2 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_prune1x.tar) |
| MobileNetV1 | r578 | 608 | 27.8 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_prune578.tar) |
| MobileNetV1 | r578 | 416 | 26.8 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_prune578.tar) |
| MobileNetV1 | r578 | 320 | 24.0 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_prune578.tar) |
| 骨架网络 | 剪裁策略 | FLOPs剪裁率 | 模型体积剪裁率 | 输入尺寸 | Box AP | 下载 |
| :----------------| :-------: | :---------: | :------------: | :------: | :-----: | :-----------------------------------------------------: |
| ResNet50-vd-dcn | sensity | 18.41% | 15.46% | 608 | 39.8 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_r50vd_dcn_prune1x.tar) |
| ResNet50-vd-dcn | r578 | 43.69% | 36.61% | 608 | 38.3 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_r50vd_dcn_prune578.tar) |
| MobileNetV1 | sensity | 28.76% | 28.54% | 608 | 30.2 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_prune1x.tar) |
| MobileNetV1 | sensity | 28.76% | 28.54% | 416 | 29.7 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_prune1x.tar) |
| MobileNetV1 | sensity | 28.76% | 28.54% | 320 | 27.2 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_prune1x.tar) |
| MobileNetV1 | r578 | 67.56% | 66.90% | 608 | 27.8 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_prune578.tar) |
| MobileNetV1 | r578 | 67.56% | 66.90% | 416 | 26.8 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_prune578.tar) |
| MobileNetV1 | r578 | 67.56% | 66.90% | 320 | 24.0 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_prune578.tar) |
### YOLOv3 on Pascal VOC
| 骨架网络 | 剪裁策略 | 输入尺寸 | Box AP | 下载 |
| :----------------| :-------: | :------: | :-----: | :-----------------------------------------------------: |
| MobileNetV1 | sensity | 608 | 78.4 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_voc_prune1x.tar) |
| MobileNetV1 | sensity | 416 | 78.7 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_voc_prune1x.tar) |
| MobileNetV1 | sensity | 320 | 76.1 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_voc_prune1x.tar) |
| MobileNetV1 | r578 | 608 | 77.6 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_voc_prune578.tar) |
| MobileNetV1 | r578 | 416 | 77.7 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_voc_prune578.tar) |
| MobileNetV1 | r578 | 320 | 75.5 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_voc_prune578.tar) |
| 骨架网络 | 剪裁策略 | FLOPs剪裁率 | 模型体积剪裁率 | 输入尺寸 | Box AP | 下载 |
| :----------------| :-------: | :---------: | :------------: | :------: | :-----: | :-----------------------------------------------------: |
| MobileNetV1 | sensity | 34.55% | 28.75% | 608 | 78.4 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_voc_prune1x.tar) |
| MobileNetV1 | sensity | 34.55% | 28.75% | 416 | 78.7 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_voc_prune1x.tar) |
| MobileNetV1 | sensity | 34.55% | 28.75% | 320 | 76.1 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_voc_prune1x.tar) |
| MobileNetV1 | r578 | 69.57% | 67.00% | 608 | 77.6 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_voc_prune578.tar) |
| MobileNetV1 | r578 | 69.57% | 67.00% | 416 | 77.7 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_voc_prune578.tar) |
| MobileNetV1 | r578 | 69.57% | 67.00% | 320 | 75.5 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_voc_prune578.tar) |
### 蒸馏通道剪裁模型
......@@ -62,20 +62,20 @@
COCO数据集上蒸馏通道剪裁模型库如下。
| 骨架网络 | 剪裁策略 | 输入尺寸 | teacher模型 | Box AP | 下载 |
| :----------------| :-------: | :------: | :--------------------- | :-----: | :-----------------------------------------------------: |
| ResNet50-vd-dcn | r578 | 608 | YOLOv3-ResNet50-vd-dcn | 39.7 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_r50_dcn_prune578_distill.tar) |
| MobileNetV1 | r578 | 608 | YOLOv3-ResNet34 | 29.0 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_prune578_distillby_r34.tar) |
| MobileNetV1 | r578 | 416 | YOLOv3-ResNet34 | 28.0 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_prune578_distillby_r34.tar) |
| MobileNetV1 | r578 | 320 | YOLOv3-ResNet34 | 25.1 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_prune578_distillby_r34.tar) |
| 骨架网络 | 剪裁策略 | FLOPs剪裁率 | 模型体积剪裁率 | 输入尺寸 | teacher模型 | Box AP | 下载 |
| :----------------| :-------: | :---------: | :------------: | :------: | :--------------------- | :-----: | :-----------------------------------------------------: |
| ResNet50-vd-dcn | r578 | 43.69% | 36.61% | 608 | YOLOv3-ResNet50-vd-dcn | 39.7 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_r50vd_dcn_prune578_distill.tar) |
| MobileNetV1 | r578 | 67.56% | 66.90% | 608 | YOLOv3-ResNet34 | 29.0 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_prune578_distillby_r34.tar) |
| MobileNetV1 | r578 | 67.56% | 66.90% | 416 | YOLOv3-ResNet34 | 28.0 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_prune578_distillby_r34.tar) |
| MobileNetV1 | r578 | 67.56% | 66.90% | 320 | YOLOv3-ResNet34 | 25.1 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_prune578_distillby_r34.tar) |
Pascal VOC数据集上蒸馏通道剪裁模型库如下。
| 骨架网络 | 剪裁策略 | 输入尺寸 | teacher模型 | Box AP | 下载 |
| :----------------| :-------: | :------: | :--------------------- | :-----: | :-----------------------------------------------------: |
| MobileNetV1 | r578 | 608 | YOLOv3-ResNet34 | 78.8 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_voc_prune578_distillby_r34.tar) |
| MobileNetV1 | r578 | 416 | YOLOv3-ResNet34 | 78.7 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_voc_prune578_distillby_r34.tar) |
| MobileNetV1 | r578 | 320 | YOLOv3-ResNet34 | 76.3 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_voc_prune578_distillby_r34.tar) |
| 骨架网络 | 剪裁策略 | FLOPs剪裁率 | 模型体积剪裁率 | 输入尺寸 | teacher模型 | Box AP | 下载 |
| :----------------| :-------: | :---------: | :------------: | :------: | :--------------------- | :-----: | :-----------------------------------------------------: |
| MobileNetV1 | r578 | 69.57% | 67.00% | 608 | YOLOv3-ResNet34 | 78.8 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_voc_prune578_distillby_r34.tar) |
| MobileNetV1 | r578 | 69.57% | 67.00% | 416 | YOLOv3-ResNet34 | 78.7 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_voc_prune578_distillby_r34.tar) |
| MobileNetV1 | r578 | 69.57% | 67.00% | 320 | YOLOv3-ResNet34 | 76.3 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/prune/yolov3_mobilenet_v1_voc_prune578_distillby_r34.tar) |
## 蒸馏模型库
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