ocrapi服务docker镜像使用

umiocr只能用于windows,http服务只能找旧版,没办法,只能找docker替代一下了。

umiocr 使用paddleOCR和rapidOCR引擎。以下时这两个docker的运行方法

paddleOCR使用

duolabmeng666的ppocr镜像 镜像大小约2.6G

复制代码
docker run -itd --name ppocr -p 9000:9000 duolabmeng666/paddlehub_ppocr:1.0 /bin/bash -c "sh /PaddleOCR/start.sh"

访问

复制代码
curl --location 'http://192.168.36.128:9000/predict/ocr_system' \
--header 'Content-Type: application/json' \
--data '{
    "images": [
        "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"
    ]
}'

rapidOCR使用

rapidocr

自定义打包镜像 构建时间约900秒 镜像大小约828M

docker 打包方式

下载dockerfile

复制代码
curl -O https://ghproxy.com/github.com/RapidAI/RapidOCRAPI/raw/refs/heads/main/Dockerfile

build

复制代码
docker build -t rapidocr_api:0.1.4 .

运行

复制代码
docker run -d -p 9003:9003 --name rapidocr_api -e TZ=Asia/Shanghai rapidocr_api:0.1.4

访问

复制代码
curl --location 'http://192.168.36.128:9003/ocr' \
--form 'image_data="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"'
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