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https://github.com/PaddlePaddle/FastDeploy.git
synced 2026-04-23 00:17:25 +08:00
[Iiluvatar] fix ci error and update readme (#7453)
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@@ -34,17 +34,24 @@ Note: Because the 4.3.8 SDK in the image is incompatible with KMD, paddle cannot
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### 3.2 Install paddle
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```bash
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pip3 install paddlepaddle-iluvatar==3.4.0.dev20260326 -i https://www.paddlepaddle.org.cn/packages/nightly/ixuca/
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pip3 install paddlepaddle-iluvatar==3.4.0.dev20260326 -i https://www.paddlepaddle.org.cn/packages/nightly/ixuca/ --extra-index-url https://mirrors.aliyun.com/pypi/simple/
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```
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### 3.3 Install or build FastDeploy
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You can install FastDeploy in either of the following ways:
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- pip install
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```bash
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pip3 install fastdeploy_iluvatar_gpu==2.5.0.dev0 -i https://www.paddlepaddle.org.cn/packages/stable/ixuca/ --extra-index-url https://mirrors.aliyun.com/pypi/simple/
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```
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- Build from source
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You can build FastDeploy from source if you need the ```latest version```.
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```bash
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git clone https://github.com/PaddlePaddle/FastDeploy
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git clone --recursive https://github.com/PaddlePaddle/FastDeploy.git
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cd FastDeploy
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pip3 install -r requirements_iluvatar.txt -i https://mirrors.aliyun.com/pypi/simple/
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bash build.sh
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```
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@@ -451,9 +458,9 @@ curl -X POST "http://0.0.0.0:8180/v1/chat/completions" \
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### 4.3 PaddleOCR-VL series
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#### 4.3.1 PaddleOCR-VL-0.9B
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- (Optional) Install paddleocr
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- (Optional) Build and install paddleocr from source
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To install the latest `paddleocr`, you can compile it from source. The image contains a compilation and installation based on source code `39128c2c7fd40be44d8f33498cabd4ec10f1bfcd`.
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To install the latest `paddleocr`, you can compile it from source. The version in the image is `3.3.2`.
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```bash
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git clone -b main https://github.com/PaddlePaddle/PaddleOCR.git
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@@ -515,7 +522,7 @@ import os
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from paddleocr import PaddleOCRVL
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input_path = "./images"
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pipeline = PaddleOCRVL(vl_rec_backend="fastdeploy-server", vl_rec_server_url="http://127.0.0.1:8180/v1")
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pipeline = PaddleOCRVL(vl_rec_backend="fastdeploy-server", vl_rec_server_url="http://127.0.0.1:8180/v1", device="iluvatar_gpu")
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file_list = os.listdir(input_path)
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for file_name in file_list:
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file_path = os.path.join(input_path, file_name)
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