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English | 简体中文

PaddleDetection Model Deployment

Model Description

List of Supported Models

Now FastDeploy supports the deployment of the following models

Export Deployment Model

Before deployment, PaddleDetection needs to be exported into the deployment model. Refer to Export Models for more details.

Attention

  • Do not perform NMS removal when exporting the model
  • If you are running a native TensorRT backend (not a Paddle Inference backend), do not add the --trt parameter
  • Do not add the parameter fuse_normalize=True when exporting the model

Download Pre-trained Model

For developers' testing, models exported by PaddleDetection are provided below. Developers can download them directly.

The accuracy metric is from model descriptions in PaddleDetection. Refer to them for details.

Model Parameter Size Accuracy Note
picodet_l_320_coco_lcnet 23MB Box AP 42.6%
ppyoloe_crn_l_300e_coco 200MB Box AP 51.4%
ppyoloe_plus_crn_m_80e_coco 83.3MB Box AP 49.8%
ppyolo_r50vd_dcn_1x_coco 180MB Box AP 44.8% TensorRT not supported yet
ppyolov2_r101vd_dcn_365e_coco 282MB Box AP 49.7% TensorRT not supported yet
yolov3_darknet53_270e_coco 237MB Box AP 39.1%
yolox_s_300e_coco 35MB Box AP 40.4%
faster_rcnn_r50_vd_fpn_2x_coco 160MB Box AP 40.8% TensorRT not supported yet
mask_rcnn_r50_1x_coco 128M Box AP 37.4%, Mask AP 32.8% TensorRT、ORT not supported yet
ssd_mobilenet_v1_300_120e_voc 24.9M Box AP 73.8% TensorRT、ORT not supported yet
ssd_vgg16_300_240e_voc 106.5M Box AP 77.8% TensorRT、ORT not supported yet
ssdlite_mobilenet_v1_300_coco 29.1M TensorRT、ORT not supported yet
rtmdet_l_300e_coco 224M Box AP 51.2%
rtmdet_s_300e_coco 42M Box AP 44.5%
yolov5_l_300e_coco 183M Box AP 48.9%
yolov5_s_300e_coco 31M Box AP 37.6%
yolov6_l_300e_coco 229M Box AP 51.0%
yolov6_s_400e_coco 68M Box AP 43.4%
yolov7_l_300e_coco 145M Box AP 51.0%
yolov7_x_300e_coco 277M Box AP 53.0%
cascade_rcnn_r50_fpn_1x_coco 271M Box AP 41.1% TensorRT、ORT not supported yet
cascade_rcnn_r50_vd_fpn_ssld_2x_coco 271M Box AP 45.0% TensorRT、ORT not supported yet
faster_rcnn_enhance_3x_coco 119M Box AP 41.5% TensorRT、ORT not supported yet
fcos_r50_fpn_1x_coco 129M Box AP 39.6% TensorRT not supported yet
gfl_r50_fpn_1x_coco 128M Box AP 41.0% TensorRT not supported yet
ppyoloe_crn_l_80e_sliced_visdrone_640_025 200M Box AP 31.9%
retinanet_r101_fpn_2x_coco 210M Box AP 40.6% TensorRT、ORT not supported yet
retinanet_r50_fpn_1x_coco 136M Box AP 37.5% TensorRT、ORT not supported yet
tood_r50_fpn_1x_coco 130M Box AP 42.5% TensorRT、ORT not supported yet
ttfnet_darknet53_1x_coco 178M Box AP 33.5% TensorRT、ORT not supported yet
yolov8_x_500e_coco 265M Box AP 53.8%
yolov8_l_500e_coco 173M Box AP 52.8%
yolov8_m_500e_coco 99M Box AP 50.2%
yolov8_s_500e_coco 43M Box AP 44.9%
yolov8_n_500e_coco 13M Box AP 37.3%

Detailed Deployment Documents