From 8e459472554cc7f51e0d44004702e0f2e4acb7fa Mon Sep 17 00:00:00 2001 From: sunyanfang01 Date: Tue, 9 Jun 2020 16:37:58 +0800 Subject: [PATCH] add model url --- docs/appendix/model_zoo.md | 68 +++++++++++++++++++------------------- 1 file changed, 34 insertions(+), 34 deletions(-) diff --git a/docs/appendix/model_zoo.md b/docs/appendix/model_zoo.md index a8635b4..200847b 100644 --- a/docs/appendix/model_zoo.md +++ b/docs/appendix/model_zoo.md @@ -6,28 +6,28 @@ | 模型 | 模型大小 | 预测速度（毫秒） | Top1准确率（%） | Top5准确率（%） | | :----| :------- | :----------- | :--------- | :--------- | -| ResNet18| 46.2MB | 3.72882 | 71.0 | 89.9 | -| ResNet34| 87.9MB | 5.50876 | 74.6 | 92.1 | -| ResNet50| 103.4MB | 7.76659 | 76.5 | 93.0 | -| ResNet101 |180.4MB | 13.80876 | 77.6 | 93.6 | -| ResNet50_vd |103.5MB | 8.20476 | 79.1 | 94.4 | -| ResNet101_vd| 180.5MB | 14.24643 | 80.2 | 95.0 | -| ResNet50_vd_ssld |103.5MB | 7.79264 | 82.4 | 96.1 | -| ResNet101_vd_ssld| 180.5MB | 13.34580 | 83.7 | 96.7 | -| DarkNet53|167.4MB | 8.82047 | 78.0 | 94.1 | -| MobileNetV1 | 17.4MB | 3.42838 | 71.0 | 89.7 | -| MobileNetV2 | 15.0MB | 5.92667 | 72.2 | 90.7 | -| MobileNetV3_large| 22.8MB | 8.31428 | 75.3 | 93.2 | -| MobileNetV3_small | 12.5MB | 7.30689 | 68.2 | 88.1 | -| MobileNetV3_large_ssld| 22.8MB | 8.06651 | 79.0 | 94.5 | -| MobileNetV3_small_ssld | 12.5MB | 7.08837 | 71.3 | 90.1 | -| Xception41 | 109.2MB | 8.15611 | 79.6 | 94.4 | -| Xception65 | 161.6MB | 13.87017 | 80.3 | 94.5 | -| DenseNet121 | 33.1MB | 17.09874 | 75.7 | 92.6 | -| DenseNet161| 118.0MB | 22.79690 | 78.6 | 94.1 | -| DenseNet201| 84.1MB | 25.26089 | 77.6 | 93.7 | -| ShuffleNetV2 | 10.2MB | 15.40138 | 68.8 | 88.5 | -| HRNet_W18 | 21.29MB |45.25514 | 76.9 | 93.4 | +| [ResNet18](https://paddle-imagenet-models-name.bj.bcebos.com/ResNet18_pretrained.tar)| 46.2MB | 3.72882 | 71.0 | 89.9 | +| [ResNet34](https://paddle-imagenet-models-name.bj.bcebos.com/ResNet34_pretrained.tar)| 87.9MB | 5.50876 | 74.6 | 92.1 | +| [ResNet50](https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_pretrained.tar)| 103.4MB | 7.76659 | 76.5 | 93.0 | +| [ResNet101](https://paddle-imagenet-models-name.bj.bcebos.com/ResNet101_pretrained.tar) |180.4MB | 13.80876 | 77.6 | 93.6 | +| [ResNet50_vd](https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_vd_pretrained.tar) |103.5MB | 8.20476 | 79.1 | 94.4 | +| [ResNet101_vd](https://paddle-imagenet-models-name.bj.bcebos.com/ResNet101_vd_pretrained.tar)| 180.5MB | 14.24643 | 80.2 | 95.0 | +| [ResNet50_vd_ssld](https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_vd_ssld_pretrained.tar) |103.5MB | 7.79264 | 82.4 | 96.1 | +| [ResNet101_vd_ssld](https://paddle-imagenet-models-name.bj.bcebos.com/ResNet101_vd_ssld_pretrained.tar)| 180.5MB | 13.34580 | 83.7 | 96.7 | +| [DarkNet53](https://paddle-imagenet-models-name.bj.bcebos.com/DarkNet53_ImageNet1k_pretrained.tar)|167.4MB | 8.82047 | 78.0 | 94.1 | +| [MobileNetV1](https://paddle-imagenet-models-name.bj.bcebos.com/MobileNetV1_pretrained.tar) | 17.4MB | 3.42838 | 71.0 | 89.7 | +| [MobileNetV2](https://paddle-imagenet-models-name.bj.bcebos.com/MobileNetV2_pretrained.tar) | 15.0MB | 5.92667 | 72.2 | 90.7 | +| [MobileNetV3_large](https://paddle-imagenet-models-name.bj.bcebos.com/MobileNetV3_large_x1_0_pretrained.tar)| 22.8MB | 8.31428 | 75.3 | 93.2 | +| [MobileNetV3_small](https://paddle-imagenet-models-name.bj.bcebos.com/MobileNetV3_small_x1_0_pretrained.tar) | 12.5MB | 7.30689 | 68.2 | 88.1 | +| [MobileNetV3_large_ssld](https://paddle-imagenet-models-name.bj.bcebos.com/MobileNetV3_large_x1_0_ssld_pretrained.tar)| 22.8MB | 8.06651 | 79.0 | 94.5 | +| [MobileNetV3_small_ssld](https://paddle-imagenet-models-name.bj.bcebos.com/MobileNetV3_small_x1_0_ssld_pretrained.tar) | 12.5MB | 7.08837 | 71.3 | 90.1 | +| [Xception41](https://paddle-imagenet-models-name.bj.bcebos.com/Xception41_deeplab_pretrained.tar) | 109.2MB | 8.15611 | 79.6 | 94.4 | +| [Xception65](https://paddle-imagenet-models-name.bj.bcebos.com/Xception65_deeplab_pretrained.tar) | 161.6MB | 13.87017 | 80.3 | 94.5 | +| [DenseNet121](https://paddle-imagenet-models-name.bj.bcebos.com/DenseNet121_pretrained.tar) | 33.1MB | 17.09874 | 75.7 | 92.6 | +| [DenseNet161](https://paddle-imagenet-models-name.bj.bcebos.com/DenseNet161_pretrained.tar)| 118.0MB | 22.79690 | 78.6 | 94.1 | +| [DenseNet201](https://paddle-imagenet-models-name.bj.bcebos.com/DenseNet201_pretrained.tar)| 84.1MB | 25.26089 | 77.6 | 93.7 | +| [ShuffleNetV2](https://paddle-imagenet-models-name.bj.bcebos.com/ShuffleNetV2_pretrained.tar) | 10.2MB | 15.40138 | 68.8 | 88.5 | +| [HRNet_W18](https://paddle-imagenet-models-name.bj.bcebos.com/HRNet_W18_C_pretrained.tar) | 21.29MB |45.25514 | 76.9 | 93.4 | ## 目标检测模型 @@ -35,18 +35,18 @@ | 模型 | 模型大小 | 预测时间(毫秒) | BoxAP（%） | |:-------|:-----------|:-------------|:----------| -|FasterRCNN-ResNet50|136.0MB| 197.715 | 35.2 | -|FasterRCNN-ResNet50_vd| 136.1MB | 475.700 | 36.4 | -|FasterRCNN-ResNet101| 212.5MB | 582.911 | 38.3 | -|FasterRCNN-ResNet50-FPN| 167.7MB | 83.189 | 37.2 | -|FasterRCNN-ResNet50_vd-FPN|167.8MB | 128.277 | 38.9 | -|FasterRCNN-ResNet101-FPN| 244.2MB | 156.097 | 38.7 | -|FasterRCNN-ResNet101_vd-FPN |244.3MB | 119.788 | 40.5 | -|FasterRCNN-HRNet_W18-FPN |115.5MB | 81.592 | 36 | -|YOLOv3-DarkNet53|249.2MB | 42.672 | 38.9 | -|YOLOv3-MobileNetV1 |99.2MB | 15.442 | 29.3 | -|YOLOv3-MobileNetV3_large|100.7MB | 143.322 | 31.6 | -| YOLOv3-ResNet34|170.3MB | 23.185 | 36.2 | +|[FasterRCNN-ResNet50](https://paddlemodels.bj.bcebos.com/object_detection/faster_rcnn_r50_1x.tar)|136.0MB| 197.715 | 35.2 | +|[FasterRCNN-ResNet50_vd](https://paddlemodels.bj.bcebos.com/object_detection/faster_rcnn_r50_vd_1x.tar)| 136.1MB | 475.700 | 36.4 | +|[FasterRCNN-ResNet101](https://paddlemodels.bj.bcebos.com/object_detection/faster_rcnn_r101_1x.tar)| 212.5MB | 582.911 | 38.3 | +|[FasterRCNN-ResNet50-FPN](https://paddlemodels.bj.bcebos.com/object_detection/faster_rcnn_r50_fpn_1x.tar)| 167.7MB | 83.189 | 37.2 | +|[FasterRCNN-ResNet50_vd-FPN](https://paddlemodels.bj.bcebos.com/object_detection/faster_rcnn_r50_vd_fpn_2x.tar)|167.8MB | 128.277 | 38.9 | +|[FasterRCNN-ResNet101-FPN](https://paddlemodels.bj.bcebos.com/object_detection/faster_rcnn_r101_fpn_1x.tar)| 244.2MB | 156.097 | 38.7 | +|[FasterRCNN-ResNet101_vd-FPN](https://paddlemodels.bj.bcebos.com/object_detection/faster_rcnn_r101_vd_fpn_2x.tar) |244.3MB | 119.788 | 40.5 | +|[FasterRCNN-HRNet_W18-FPN](https://paddlemodels.bj.bcebos.com/object_detection/faster_rcnn_hrnetv2p_w18_1x.tar) |115.5MB | 81.592 | 36 | +|[YOLOv3-DarkNet53](https://paddlemodels.bj.bcebos.com/object_detection/yolov3_darknet.tar)|249.2MB | 42.672 | 38.9 | +|[YOLOv3-MobileNetV1](https://paddlemodels.bj.bcebos.com/object_detection/yolov3_mobilenet_v1.tar) |99.2MB | 15.442 | 29.3 | +|[YOLOv3-MobileNetV3_large](https://paddlemodels.bj.bcebos.com/object_detection/yolov3_mobilenet_v3.pdparams)|100.7MB | 143.322 | 31.6 | +| [YOLOv3-ResNet34](https://paddlemodels.bj.bcebos.com/object_detection/yolov3_r34.tar)|170.3MB | 23.185 | 36.2 | ## 实例分割模型 -- GitLab