From 103b7ab27b99dfef3d9171577311b279a5829179 Mon Sep 17 00:00:00 2001 From: shangliang Xu Date: Fri, 8 Apr 2022 17:40:50 +0800 Subject: [PATCH] [PPYOLOE] fix doc, test=document_fix (#5635) --- configs/ppyoloe/README.md | 6 +++--- configs/ppyoloe/README_cn.md | 6 +++--- 2 files changed, 6 insertions(+), 6 deletions(-) diff --git a/configs/ppyoloe/README.md b/configs/ppyoloe/README.md index 7a21feeed..aa52b37f0 100644 --- a/configs/ppyoloe/README.md +++ b/configs/ppyoloe/README.md @@ -99,13 +99,13 @@ python tools/export_model.py -c configs/ppyoloe/ppyoloe_crn_l_300e_coco.yml -o w ```bash # inference single image -CUDA_VISIBLE_DEVICES=0 python deploy/python/infer.py --model_dir=output_inference/ppyolo_r50vd_dcn_1x_coco --image_file=demo/000000014439_640x640.jpg --device=gpu +CUDA_VISIBLE_DEVICES=0 python deploy/python/infer.py --model_dir=output_inference/ppyoloe_crn_l_300e_coco --image_file=demo/000000014439_640x640.jpg --device=gpu # inference all images in the directory -CUDA_VISIBLE_DEVICES=0 python deploy/python/infer.py --model_dir=output_inference/ppyolo_r50vd_dcn_1x_coco --image_dir=demo/ --device=gpu +CUDA_VISIBLE_DEVICES=0 python deploy/python/infer.py --model_dir=output_inference/ppyoloe_crn_l_300e_coco --image_dir=demo/ --device=gpu # benchmark -CUDA_VISIBLE_DEVICES=0 python deploy/python/infer.py --model_dir=output_inference/ppyolo_r50vd_dcn_1x_coco --image_file=demo/000000014439_640x640.jpg --device=gpu --run_benchmark=True +CUDA_VISIBLE_DEVICES=0 python deploy/python/infer.py --model_dir=output_inference/ppyoloe_crn_l_300e_coco --image_file=demo/000000014439_640x640.jpg --device=gpu --run_benchmark=True ``` If you want to export PP-YOLOE model to **ONNX format**, use following command refer to [PaddleDetection Model Export as ONNX Format Tutorial](../../deploy/EXPORT_ONNX_MODEL_en.md). diff --git a/configs/ppyoloe/README_cn.md b/configs/ppyoloe/README_cn.md index ac08a567d..d770e1cf0 100644 --- a/configs/ppyoloe/README_cn.md +++ b/configs/ppyoloe/README_cn.md @@ -100,13 +100,13 @@ python tools/export_model.py -c configs/ppyoloe/ppyoloe_crn_l_300e_coco.yml -o w ```bash # 推理单张图片 -CUDA_VISIBLE_DEVICES=0 python deploy/python/infer.py --model_dir=output_inference/ppyolo_r50vd_dcn_1x_coco --image_file=demo/000000014439_640x640.jpg --device=gpu +CUDA_VISIBLE_DEVICES=0 python deploy/python/infer.py --model_dir=output_inference/ppyoloe_crn_l_300e_coco --image_file=demo/000000014439_640x640.jpg --device=gpu # 推理文件夹下的所有图片 -CUDA_VISIBLE_DEVICES=0 python deploy/python/infer.py --model_dir=output_inference/ppyolo_r50vd_dcn_1x_coco --image_dir=demo/ --device=gpu +CUDA_VISIBLE_DEVICES=0 python deploy/python/infer.py --model_dir=output_inference/ppyoloe_crn_l_300e_coco --image_dir=demo/ --device=gpu # benchmark -CUDA_VISIBLE_DEVICES=0 python deploy/python/infer.py --model_dir=output_inference/ppyolo_r50vd_dcn_1x_coco --image_file=demo/000000014439_640x640.jpg --device=gpu --run_benchmark=True +CUDA_VISIBLE_DEVICES=0 python deploy/python/infer.py --model_dir=output_inference/ppyoloe_crn_l_300e_coco --image_file=demo/000000014439_640x640.jpg --device=gpu --run_benchmark=True ``` 如果你想将PP-YOLOE模型导出为**ONNX格式**，参考 -- GitLab