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Update release 0.2 (#132)
* [docs] update osx and win prebuilt cpp libs links (#130) * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Update requirements.txt * Update README.md Co-authored-by: DefTruth <31974251+DefTruth@users.noreply.github.com> Co-authored-by: leiqing <54695910+leiqing1@users.noreply.github.com>
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@@ -64,11 +64,11 @@
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#### 安装 CPU Python 版本
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```
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pip install fastdeploy-python -f https://www.paddlepaddle.org.cn/whl/fastdeploy.html
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pip install numpy opencv-python fastdeploy-python -f https://www.paddlepaddle.org.cn/whl/fastdeploy.html
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```
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#### 安装 GPU Python 版本
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```
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pip install fastdeploy-gpu-python -f https://www.paddlepaddle.org.cn/whl/fastdeploy.html
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pip install numpy opencv-python fastdeploy-gpu-python -f https://www.paddlepaddle.org.cn/whl/fastdeploy.html
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```
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#### 安装 C++ 版本
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@@ -8,15 +8,16 @@
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本目录下提供`infer_xxx.py`快速完成PPYOLOE/PicoDet等模型在CPU/GPU,以及GPU上通过TensorRT加速部署的示例。执行如下脚本即可完成
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```
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#下载部署示例代码
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git clone https://github.com/PaddlePaddle/FastDeploy.git
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cd examples/vision/detection/paddledetection/python/
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#下载PPYOLOE模型文件和测试图片
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wget https://bj.bcebos.com/paddlehub/fastdeploy/ppyoloe_crn_l_300e_coco.tgz
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wget https://gitee.com/paddlepaddle/PaddleDetection/raw/release/2.4/demo/000000014439.jpg
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tar xvf ppyoloe_crn_l_300e_coco.tgz
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#下载部署示例代码
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git clone https://github.com/PaddlePaddle/FastDeploy.git
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cd examples/vison/detection/paddledetection/python/
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# CPU推理
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python infer.py --model_dir ppyoloe_crn_l_300e_coco --image 000000087038.jpg --device cpu
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# GPU推理
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@@ -8,15 +8,14 @@
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本目录下提供`infer.py`快速完成ScaledYOLOv4在CPU/GPU,以及GPU上通过TensorRT加速部署的示例。执行如下脚本即可完成
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```
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#下载scaledyolov4模型文件和测试图片
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wget https://bj.bcebos.com/paddlehub/fastdeploy/scaled_yolov4-p5.onnx
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wget https://gitee.com/paddlepaddle/PaddleDetection/raw/release/2.4/demo/000000014439.jpg
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#下载部署示例代码
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git clone https://github.com/PaddlePaddle/FastDeploy.git
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cd examples/vison/detection/scaledyolov4/python/
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#下载scaledyolov4模型文件和测试图片
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wget https://bj.bcebos.com/paddlehub/fastdeploy/scaled_yolov4-p5.onnx
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wget https://gitee.com/paddlepaddle/PaddleDetection/raw/release/2.4/demo/000000014439.jpg
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# CPU推理
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python infer.py --model scaled_yolov4-p5.onnx --image 000000014439.jpg --device cpu
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# GPU推理
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本目录下提供`infer.py`快速完成YOLOR在CPU/GPU,以及GPU上通过TensorRT加速部署的示例。执行如下脚本即可完成
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```
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#下载YOLOR模型文件和测试图片
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wget https://bj.bcebos.com/paddlehub/fastdeploy/yolor-p6-paper-541-640-640.onnx
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wget https://gitee.com/paddlepaddle/PaddleDetection/raw/release/2.4/demo/000000014439.jpg
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#下载部署示例代码
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git clone https://github.com/PaddlePaddle/FastDeploy.git
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cd examples/vison/detection/yolor/python/
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#下载YOLOR模型文件和测试图片
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wget https://bj.bcebos.com/paddlehub/fastdeploy/yolor-p6-paper-541-640-640.onnx
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wget https://gitee.com/paddlepaddle/PaddleDetection/raw/release/2.4/demo/000000014439.jpg
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# CPU推理
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python infer.py --model yolor-p6-paper-541-640-640.onnx --image 000000014439.jpg --device cpu
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# GPU推理
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@@ -1,2 +1,4 @@
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requests
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tqdm
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tqdm
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numpy
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opencv-python
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