mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-10-05 00:33:03 +08:00
cbf88a46fa
* 第一次提交 * 补充一处漏翻译 * deleted: docs/en/quantize.md * Update one translation * Update en version * Update one translation in code * Standardize one writing * Standardize one writing * Update some en version * Fix a grammer problem * Update en version for api/vision result * Merge branch 'develop' of https://github.com/charl-u/FastDeploy into develop * Checkout the link in README in vision_results/ to the en documents * Modify a title * Add link to serving/docs/ * Finish translation of demo.md * Update english version of serving/docs/ * Update title of readme * Update some links * Modify a title * Update some links * Update en version of java android README * Modify some titles * Modify some titles * Modify some titles * modify article to document * update some english version of documents in examples * Add english version of documents in examples/visions * Sync to current branch * Add english version of documents in examples * Add english version of documents in examples * Add english version of documents in examples * Update some documents in examples * Update some documents in examples * Update some documents in examples * Update some documents in examples * Update some documents in examples * Update some documents in examples * Update some documents in examples * Update some documents in examples * Update some documents in examples
82 lines
4.5 KiB
Markdown
82 lines
4.5 KiB
Markdown
English | [简体中文](README_CN.md)
|
|
# YOLOv7End2EndTRT Python Deployment Example
|
|
|
|
Two steps before deployment
|
|
|
|
- 1. Software and hardware should meet the requirements. Please refer to [FastDeploy Environment Requirements](../../../../../docs/en/build_and_install/download_prebuilt_libraries.md)
|
|
- 2. Install FastDeploy Python whl p ackage. Refer to [FastDeploy Python Installation](../../../../../docs/en/build_and_install/download_prebuilt_libraries.md)
|
|
|
|
This directory provides examples that `infer.py` fast finishes the deployment of YOLOv7End2EndTRT accelerated by TensorRT. The script is as follows
|
|
```bash
|
|
# Download the example code for deployment
|
|
git clone https://github.com/PaddlePaddle/FastDeploy.git
|
|
cd FastDeploy/examples/vision/detection/yolov7end2end_trt/python/
|
|
|
|
# Download yolov7 model files and test images
|
|
wget https://bj.bcebos.com/paddlehub/fastdeploy/yolov7-end2end-trt-nms.onnx
|
|
wget https://gitee.com/paddlepaddle/PaddleDetection/raw/release/2.4/demo/000000014439.jpg
|
|
|
|
# TensorRT inference on GPU
|
|
python infer.py --model yolov7-end2end-trt-nms.onnx --image 000000014439.jpg --device gpu --use_trt True
|
|
# If it is not supported by the python package, compile the latest FastDeploy Python Wheel package from the source code in develop branch and install it.
|
|
```
|
|
|
|
The visualized result after running is as follows
|
|
|
|
<div align='center'>
|
|
<img width="640" alt="image" src="https://user-images.githubusercontent.com/31974251/186605967-ad0c53f2-3ce8-4032-a90f-6f5c1238e7f4.png">
|
|
</div>
|
|
|
|
Attention: YOLOv7End2EndTRT is designed for the inference of End2End models with [TRT_NMS](https://github.com/WongKinYiu/yolov7/blob/main/models/experimental.py#L111) among the YOLOv7 exported models. For models without nms, use YOLOv7 class for inference. For End2End models with [ORT_NMS](https://github.com/WongKinYiu/yolov7/blob/main/models/experimental.py#L87), use YOLOv7End2EndTRT for inference.
|
|
|
|
## YOLOv7End2EndTRT Python Interface
|
|
|
|
```python
|
|
fastdeploy.vision.detection.YOLOv7End2EndTRT(model_file, params_file=None, runtime_option=None, model_format=ModelFormat.ONNX)
|
|
```
|
|
|
|
YOLOv7End2EndTRT model loading and initialization, among which model_file is the exported ONNX model format
|
|
|
|
**Parameter**
|
|
|
|
> * **model_file**(str): Model file path
|
|
> * **params_file**(str): Parameter file path. No need to set when the model is in ONNX format
|
|
> * **runtime_option**(RuntimeOption): Backend inference configuration. None by default, which is the default configuration
|
|
> * **model_format**(ModelFormat): Model format. ONNX format by default
|
|
|
|
### predict function
|
|
|
|
> ```python
|
|
> YOLOv7End2EndTRT.predict(image_data, conf_threshold=0.25)
|
|
> ```
|
|
>
|
|
> Model prediction interface. Input images and output detection results.
|
|
>
|
|
> **Parameter**
|
|
>
|
|
> > * **image_data**(np.ndarray): Input data in HWC or BGR format
|
|
> > * **conf_threshold**(float): Filtering threshold of detection box confidence. But considering that YOLOv7 End2End models have a score threshold specified during ONNX export, this parameter will be effective when being greater than the specified one.
|
|
|
|
> **Return**
|
|
>
|
|
> > Return `fastdeploy.vision.DetectionResult` structure. Refer to [Vision Model Prediction Results](../../../../../docs/api/vision_results/) for its description.
|
|
|
|
### Class Member Property
|
|
#### Pre-processing Parameter
|
|
Users can modify the following pre-processing parameters to their needs, which affects the final inference and deployment results
|
|
|
|
> > * **size**(list[int]): This parameter changes resize used during preprocessing, containing two integer elements for [width, height] with default value [640, 640]
|
|
> > * **padding_value**(list[float]): This parameter is used to change the padding value of images during resize, containing three floating-point elements that represent the value of three channels. Default value [114, 114, 114]
|
|
> > * **is_no_pad**(bool): Specify whether to resize the image through padding. `is_no_pad=True` represents no paddling. Default `is_no_pad=False`
|
|
> > * **is_mini_pad**(bool): This parameter sets the width and height of the image after resize to the value nearest to the `size` member variable and to the point where the padded pixel size is divisible by the `stride` member variable. Default `is_mini_pad=False`
|
|
> > * **stride**(int): Used with the `stris_mini_padide` member variable. Default `stride=32`
|
|
|
|
|
|
|
|
## Other Documents
|
|
|
|
- [YOLOv7End2EndTRT Model Description](..)
|
|
- [YOLOv7End2EndTRT C++ Deployment](../cpp)
|
|
- [Model Prediction Results](../../../../../docs/api/vision_results/)
|
|
- [How to switch the model inference backend engine](../../../../../docs/en/faq/how_to_change_backend.md)
|