From bc7ea032350a5b6f5e4f8c440df7590af5527785 Mon Sep 17 00:00:00 2001 From: tink2123 Date: Fri, 8 Apr 2022 03:44:04 +0000 Subject: [PATCH] update result --- deploy/pdserving/README_CN.md | 5 +++-- deploy/pdserving/imgs/pipeline_result.png | Bin 0 -> 534293 bytes deploy/pdserving/pipeline_http_client.py | 12 ++++++++---- 3 files changed, 11 insertions(+), 6 deletions(-) create mode 100644 deploy/pdserving/imgs/pipeline_result.png diff --git a/deploy/pdserving/README_CN.md b/deploy/pdserving/README_CN.md index 28ec45a0..7d616956 100644 --- a/deploy/pdserving/README_CN.md +++ b/deploy/pdserving/README_CN.md @@ -6,7 +6,6 @@ PaddleOCR提供2种服务部署方式: - 基于PaddleHub Serving的部署:代码路径为"`./deploy/hubserving`",使用方法参考[文档](../../deploy/hubserving/readme.md); - 基于PaddleServing的部署:代码路径为"`./deploy/pdserving`",按照本教程使用。 -* AIStudio演示案例可参考 [基于PaddleServing的OCR服务化部署实战](https://aistudio.baidu.com/aistudio/projectdetail/3630726) # 基于PaddleServing的服务部署 @@ -19,6 +18,8 @@ PaddleOCR提供2种服务部署方式: 更多有关PaddleServing服务化部署框架介绍和使用教程参考[文档](https://github.com/PaddlePaddle/Serving/blob/develop/README_CN.md)。 +AIStudio演示案例可参考 [基于PaddleServing的OCR服务化部署实战](https://aistudio.baidu.com/aistudio/projectdetail/3630726)。 + ## 目录 - [环境准备](#环境准备) - [模型转换](#模型转换) @@ -133,7 +134,7 @@ python3 -m paddle_serving_client.convert --dirname ./ch_PP-OCRv2_rec_infer/ \ python3 pipeline_http_client.py ``` 成功运行后,模型预测的结果会打印在cmd窗口中,结果示例为: - ![](./imgs/results.png) + ![](./imgs/pipeline_result.png) 调整 config.yml 中的并发个数获得最大的QPS, 一般检测和识别的并发数为2:1 ``` diff --git a/deploy/pdserving/imgs/pipeline_result.png b/deploy/pdserving/imgs/pipeline_result.png new file mode 100644 index 0000000000000000000000000000000000000000..1058daa9b2b47ea88b835d7b2b3c49f131833f39 GIT binary patch literal 534293 zcmYJa1yoeu_r^_kr!<0e2?$6IA>ANd(jp}t0z(N(OCvELC4zLL3?YqxfTVOw4L!ij z+;{x`-v9fu)?N3myACsRXYX^)-p})y_Xc|Eq(qEF7#J9&ni|iHFfedkFfg#b5a6Nj zbjZgKVqlOsxT&ZZXsW2N8~A#=xOq5ZU}(J0%E31`9-)ie%YIH}$&O{D?EOiDl$|S< 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cv2_to_base64(image_data1) - for i in range(1): - data = {"key": ["image"], "value": [image]} - r = requests.post(url=url, data=json.dumps(data)) - print(r.json()) + data = {"key": ["image"], "value": [image]} + r = requests.post(url=url, data=json.dumps(data)) + all_result = r.json()["value"][0] + for item in eval(all_result): + print(item) + #print("len result:", len(result)) + #print(eval(result[0])) print("==> total number of test imgs: ", len(os.listdir(test_img_dir))) -- GitLab