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A flexible, high-performance carrier for machine learning models(『飞桨』服务化部署框架)

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执行命令 docker pull registry.baidubce.com/paddlepaddle/serving:0.9.0-cuda10.1-cudnn7-devel 报错结果:failed to register layer: ApplyLayer exit status 1 stdout: stderr: unlinkat //build_scripts: invalid argument

java client 返回值如何解析,可以给个例子吗 {"outputs":[{"tensor":[{"float_data":[0.0,0.930903971195221,272.0629577636719,133.62464904785157,362.3904113769531,210.66978454589845,0.0,0.04165499284863472,224.37013244628907,126.29287719726563,407.8487548828125,198.01980590820313,0.0,0.027022194117307664,301.24371337890627,148.58856201171876,341.6492919921875,227.12991333007813,0.0,0.02605859749019146,267.3560485839844,174.3739013671875,375.1983337402344,203.81365966796876,0.0,0.020890625193715097,19.798187255859376,96.92759704589844,84.05364227294922,138.19598388671876,0.0,0.016766920685768129,280.56549072265627,148.9947052001953,352.3643798828125,175.04298400878907,0.0,0.00988149642944336,27.438291549682618,49.757843017578128,80.58512878417969,86.267333984375,0.0,0.007814896292984486,133.08984375,57.31978988647461,253.93695068359376,120.90846252441406,1.0,0.13379301130771638,281.61187744140627,143.43833923339845,354.6566162109375,209.21778869628907,1.0,0.032523706555366519,248.6391143798828,135.3167724609375,379.3636474609375,237.5391845703125,1.0,0.027705401182174684,19.798187255859376,96.92759704589844,84.05364227294922,138.19598388671876,1.0,0.01427733339369297,267.3560485839844,174.3739013671875,375.1983337402344,203.81365966796876,1.0,0.013393879868090153,27.438291549682618,49.757843017578128,80.58512878417969,86.267333984375,1.0,0.009086854755878449,89.14093780517578,84.71559143066406,149.53675842285157,150.86851501464845,1.0,0.007297317963093519,224.37013244628907,126.29287719726563,407.8487548828125,198.01980590820313,1.0,0.006580862682312727,299.963134765625,173.16738891601563,344.46258544921877,188.04067993164063,1.0,0.0057264771312475208,45.78583526611328,107.68647003173828,60.17835235595703,128.91468811035157,1.0,0.00501543004065752,133.08984375,57.31978988647461,253.93695068359376,120.90846252441406],"elem_type":1,"shape":[18,6],"name":"multiclass_nms3_0.tmp_0","alias_name":"multiclass_nms3_0.tmp_0"}],"engine_name":"GeneralInferOp_0"}],"profile_time":[1677727313592448,1677727313701123]}

【急】pipeline serving如何将自定义的额外的数据从preprocess传到postprocess 我想将preprocess中经过清洗的文本数据传到postprocess中,请问如何实现 ![图片](https://user-images.githubusercontent.com/44657953/222112902-0aad3af7-4377-4e23-b25e-ca89869f20f9.png)

#启动服务端模型预测服务 python deploy/serving/python/web_service.py --model_dir output_inference/yolov3_darknet53_270e_coco & ![image](https://user-images.githubusercontent.com/75315116/220002349-b93585ab-7956-4455-b90e-ac5ad3b5af74.png) #客户端得到的结果,只有在demo图像中检测到了一个person,但是通过python tools/infer.py可以得到多个检测结果: ![image](https://user-images.githubusercontent.com/75315116/220002464-7dc81231-5929-48c6-b5fb-441b9afb6e7a.png)

Bumps [werkzeug](https://github.com/pallets/werkzeug) from 1.0.1 to 2.2.3. Release notes Sourced from werkzeug's releases. 2.2.3 This is a fix release for the 2.2.x release branch. Changes: https://werkzeug.palletsprojects.com/en/2.2.x/changes/#version-2-2-3 Milestone: https://github.com/pallets/werkzeug/milestone/26?closed=1 This release contains...

dependencies
python

请修复一下/test_ocr_concate.py。导致全部pr过不了

采用paddleserving部署好了服务,启动了web_service,如何连续保存图片?连续保存的图片我可用来扩增图片样本数据。谢谢!

增加标点符号,以便清晰阅读文本内容,理解层次;符合中文语法要求。

服务端正常启动 Going to Run Comand /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle_serving_server/serving-cpu-avx-mkl-0.9.0/serving -enable_model_toolkit -inferservice_path workdir_9393 -inferservice_file infer_service.prototxt -max_concurrency 0 -num_threads 4 -port 9393 -precision fp32 -use_calib=False -reload_interval_s 10 -resource_path workdir_9393 -resource_file resource.prototxt -workflow_path workdir_9393 -workflow_file workflow.prototxt...