apps/FastDeploy
1
0
Fork 0
mirror of https://github.com/PaddlePaddle/FastDeploy.git synced 2025-10-12 20:11:20 +08:00
Code Issues Actions 2 Packages Projects Releases Wiki Activity

[Docs] Improve docs related to Ascend inference (#1227)

Browse Source 
* Add Readme for vision results

* Add Readme for vision results

* Add Readme for vision results

* Add Readme for vision results

* Add Readme for vision results

* Add Readme for vision results

* Add Readme for vision results

* Add Readme for vision results

* Add Readme for vision results

* Add Readme for vision results

* Add comments to create API docs

* Improve OCR comments

* fix conflict

* Fix OCR Readme

* Fix PPOCR readme

* Fix PPOCR readme

* fix conflict

* Improve ascend readme

* Improve ascend readme

* Improve ascend readme

* Improve ascend readme
This commit is contained in:
yunyaoXYY
2023-02-04 17:03:03 +08:00
committed by GitHub
parent 522e96bce8
commit 870551f3f5
12 changed files with 106 additions and 58 deletions
Download Patch File Download Diff File Expand all files Collapse all files

12
examples/vision/detection/paddledetection/python/README.md
View File

@@ -9,11 +9,11 @@ Before deployment, two steps require confirmation.
This directory provides examples that `infer_xxx.py` fast finishes the deployment of PPYOLOE/PicoDet models on CPU/GPU and GPU accelerated by TensorRT. The script is as follows
```bash
# Download deployment example code
# Download deployment example code
git clone https://github.com/PaddlePaddle/FastDeploy.git
cd FastDeploy/examples/vision/detection/paddledetection/python/
# Download the PPYOLOE model file and test images
# Download the PPYOLOE model file and test images
wget https://bj.bcebos.com/paddlehub/fastdeploy/ppyoloe_crn_l_300e_coco.tgz
wget https://gitee.com/paddlepaddle/PaddleDetection/raw/release/2.4/demo/000000014439.jpg
tar xvf ppyoloe_crn_l_300e_coco.tgz
@@ -24,6 +24,10 @@ python infer_ppyoloe.py --model_dir ppyoloe_crn_l_300e_coco --image 000000014439
python infer_ppyoloe.py --model_dir ppyoloe_crn_l_300e_coco --image 000000014439.jpg --device gpu
# TensorRT inference on GPU （Attention: It is somewhat time-consuming for the operation of model serialization when running TensorRT inference for the first time. Please be patient.）
python infer_ppyoloe.py --model_dir ppyoloe_crn_l_300e_coco --image 000000014439.jpg --device gpu --use_trt True
# Kunlunxin XPU Inference
python infer_ppyoloe.py --model_dir ppyoloe_crn_l_300e_coco --image 000000014439.jpg --device kunlunxin
# Huawei Ascend Inference
python infer_ppyoloe.py --model_dir ppyoloe_crn_l_300e_coco --image 000000014439.jpg --device ascend
```
The visualized result after running is as follows
@@ -31,7 +35,7 @@ The visualized result after running is as follows
<img src="https://user-images.githubusercontent.com/19339784/184326520-7075e907-10ed-4fad-93f8-52d0e35d4964.jpg", width=480px, height=320px />
</div>
## PaddleDetection Python Interface
## PaddleDetection Python Interface
```python
fastdeploy.vision.detection.PPYOLOE(model_file, params_file, config_file, runtime_option=None, model_format=ModelFormat.PADDLE)
@@ -52,7 +56,7 @@ PaddleDetection model loading and initialization, among which model_file and par
**Parameter**
> * **model_file**(str): Model file path
> * **model_file**(str): Model file path
> * **params_file**(str): Parameter file path
> * **config_file**(str): Inference configuration yaml file path
> * **runtime_option**(RuntimeOption): Backend inference configuration. None by default. (use the default configuration)