安装及使用 - RapidOCR 文档 #196
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安装使用了，但得到TypeError: Object of type float32 is not JSON serializable错误。 |
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试用的rapidocr_web |
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麻烦给出具体运行环境和复现代码 |
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执行命令conda create -n rapidocr python=3.10
pip install rapidocr_web
rapidocr_web -ip 0.0.0.0 -p 9003控制台输出Package Version
-------------------- -----------
blinker 1.8.2
certifi 2024.7.4
charset-normalizer 3.3.2
click 8.1.7
coloredlogs 15.0.1
Flask 3.0.3
flatbuffers 24.3.25
humanfriendly 10.0
idna 3.7
itsdangerous 2.2.0
Jinja2 3.1.4
MarkupSafe 2.1.5
mpmath 1.3.0
numpy 1.26.4
onnxruntime 1.18.1
opencv-python 4.10.0.84
packaging 24.1
pillow 10.4.0
pip 24.0
protobuf 5.27.2
pyclipper 1.3.0.post5
PyYAML 6.0.1
rapidocr-onnxruntime 1.3.23
rapidocr-web 0.1.9
requests 2.32.3
setuptools 69.5.1
Shapely 1.8.5.post1
six 1.16.0
sympy 1.12.1
urllib3 2.2.2
Werkzeug 3.0.3
wheel 0.43.0python 3.10~12，都测试了，3.12安装rapidocr_web会报错，3.10和3.11运行图片检测时，都会报错: Successfully launched and visit https://0.0.0.0:9003 to view.
127.0.0.1 - - [05/Jul/2024 11:06:51] "GET / HTTP/1.1" 200 8176
127.0.0.1 - - [05/Jul/2024 11:06:51] "GET /static/css/main.css HTTP/1.1" 304 0
127.0.0.1 - - [05/Jul/2024 11:06:51] "GET /static/js/jquery-3.0.0.min.js HTTP/1.1" 304 0
[2024-07-05 11:07:15,867] ERROR in app: Exception on /ocr [POST]
Traceback (most recent call last):
File "/home/longdexin/miniconda3/envs/test/lib/python3.11/site-packages/flask/app.py", line 1473, in wsgi_app
response = self.full_dispatch_request()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/longdexin/miniconda3/envs/test/lib/python3.11/site-packages/flask/app.py", line 882, in full_dispatch_request
rv = self.handle_user_exception(e)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/longdexin/miniconda3/envs/test/lib/python3.11/site-packages/flask/app.py", line 880, in full_dispatch_request
rv = self.dispatch_request()
^^^^^^^^^^^^^^^^^^^^^^^
File "/home/longdexin/miniconda3/envs/test/lib/python3.11/site-packages/flask/app.py", line 865, in dispatch_request
return self.ensure_sync(self.view_functions[rule.endpoint])(**view_args) # type: ignore[no-any-return]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/longdexin/miniconda3/envs/test/lib/python3.11/site-packages/rapidocr_web/ocrweb.py", line 31, in ocr
ocr_res = processor(img_str)
^^^^^^^^^^^^^^^^^^
File "/home/longdexin/miniconda3/envs/test/lib/python3.11/site-packages/rapidocr_web/task.py", line 28, in __call__
return self.get_web_result(img, ocr_res, elapse)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/longdexin/miniconda3/envs/test/lib/python3.11/site-packages/rapidocr_web/task.py", line 51, in get_web_result
rec_res = json.dumps(rec_res, indent=2, ensure_ascii=False)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/longdexin/miniconda3/envs/test/lib/python3.11/json/__init__.py", line 238, in dumps
**kw).encode(obj)
^^^^^^^^^^^
File "/home/longdexin/miniconda3/envs/test/lib/python3.11/json/encoder.py", line 202, in encode
chunks = list(chunks)
^^^^^^^^^^^^
File "/home/longdexin/miniconda3/envs/test/lib/python3.11/json/encoder.py", line 430, in _iterencode
yield from _iterencode_list(o, _current_indent_level)
File "/home/longdexin/miniconda3/envs/test/lib/python3.11/json/encoder.py", line 326, in _iterencode_list
yield from chunks
File "/home/longdexin/miniconda3/envs/test/lib/python3.11/json/encoder.py", line 326, in _iterencode_list
yield from chunks
File "/home/longdexin/miniconda3/envs/test/lib/python3.11/json/encoder.py", line 439, in _iterencode
o = _default(o)
^^^^^^^^^^^
File "/home/longdexin/miniconda3/envs/test/lib/python3.11/json/encoder.py", line 180, in default
raise TypeError(f'Object of type {o.__class__.__name__} '
TypeError: Object of type float32 is not JSON serializable |
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收到，周末看一下 |
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已经在 |
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ImportError: DLL load failed while importing onnxruntime_pybind11_state: 动态链接库(DLL)初始化例程失败。 使用onnxruntime-gpu时出错 |
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首先不建议使用rapidocr_onnxruntime gpu版哈，这个不能有加速效果。建议用 |
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你好，我实际测试下来，发现CPU上rapidocr_onnxruntime性能比rapidocr_paddle好，但是这个差异主要是默认的cpu_math_library_num_threads没有设置导致的。具体原因是：以下这个分支里的设置线程数没有跑进去，导致paddle CPU推理的默认性能很差。 |
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收到，不知是否愿意提个PR来修复这个问题呢? |
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同一张图片use_det参数设置为True时可以正常识别文字，但是设置为False时就会识别到内容为空，这是为什么 |
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首先要明白这个参数是干嘛的？ |
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您好。我怎么来提高这个文本识别的经度。怎么样微调下？多谢 |
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RapidOCR不支持微调，要想提高文本识别精度，一是可以换已有高精度模型(docs)，二是基于PaddleOCR来微调模型。 |
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想要支持GPU推理的rapidocr_api |
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这个加到TODO吧，后期放开绑定的rapiddocr库，着急的话，可以直接修改源码。 |
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CnOCR就支持GPU的API，不过就是识别率不满意，https://cnocr.readthedocs.io/zh-cn/stable/install/ |
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请问下大佬，集成到我们Springboot项目中后，在本地（windows环境）调试ocr识别没问题。但是到了测试环境（linux环境）调ocr识别会导致容器立马崩溃重启（退出码139）是什么问题呢 |
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还有这个问题： |
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用的哪个编程语言的版本呀？请详细说明环境，代码啥的 |
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请问解决了吗，我也碰到了这个问题 |
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rapidocr_web 支持通过API调用吗？像rapidocr_api一样。 |
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为啥不直接用rapidocr_api呢？ |
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你发了，用 rapidocr_api 也可以啊，不过我想要在本地桌面上使用，就是说我要像 rapidocr_web 那样打包，但 rapidocr_api 要怎么打包？ |
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能给写个 rapidocr_api 打包的教程吗？ |
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您好博主, 我目前检测模型使用PPOCRv3训练的, 然后转化为onnx后,发现 未转化onnx的检测推理模型, 可以检测到图片, 转化到onnx后 检测不到文字了, 识别模型是基于PPOCRv4做的训练, 转化后精度没损失, 可以识别, |
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安装时默认会安装哪个引擎？ |
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安装名字就已经决定了是哪个引擎。 pip install rapidocr_onnxruntime
pip install rapidocr_openvino |
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rapidocr_paddle包是基于PaddlePaddle框架作为推理引擎的，支持CPU和GPU上推理，推荐GPU端使用。原因是ONNXRuntime和OpenVINO在GPU上支持较差。 |
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这话后面是不是有点矛盾。支持GPU，原因在GPU 支持性较差 ？？ |
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不矛盾。onnxruntime本身是支持GPU推理的，有onnxruntime-gpu版本的。但是对于OCR场景，其输入图像shape是动态的，onnxruntime对这个支持较差，因此GPU端提速十分有限，甚至比CPU慢。 |
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rapidocr_paddle会不会像paddle一样，有显存泄露问题？本人在很多版本paddle+paddleocr上做了测试工作，都有显存泄露问题。 |
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会的，等v2.0.0的torch版本吧 |
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大哥，大概什么时候出来？很急 |
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去看一下PR，已经有了，只是没有合并
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| 发件人 | ***@***.***> |
| 发送日期 | 2025年01月22日 17:41 |
| 收件人 | RapidAI/RapidOCR ***@***.***> |
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| 主题 | Re: [RapidAI/RapidOCR] 安装及使用 - RapidOCR 文档 (Discussion #196) |
大哥，大概什么时候出来？很急
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安装及使用 - RapidOCR 文档
Awesome OCR multiple programing languages toolkits based on ONNXRuntime, OpenVION and PaddlePaddle.
https://rapidai.github.io/RapidOCRDocs/install_usage/rapidocr_web/rapidocr_web/
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