-
Notifications
You must be signed in to change notification settings - Fork 86
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Can docment convert a standalone project? #4
Comments
can u run "python multi_thread_process_to_doc.py ./pdf --process-num 8" success?? |
can not run it on mac M1 CPU |
python multi_thread_process_to_doc.py ./pdf |
Why using fastdeploy, it as big as torch but acutally didn't get much speed boost. |
I have run through it by following commands on Windows Anaconda platform. Unfortunately I have to tell you is that the effect of pdf-parser is very mediocre, worse than calling the PPStructure when testing the Chinese paper pdf. |
fastdeploy is the worse lib i have ever seen, it force to cuda11.8 even doesn't have support cuda12, and build from source it has tons of millions source to build even more than pytorch itself..... I given it up due to my cuda is 12.1 don't want build a new enviroment for this... |
哥们 运行完你的四个命令能直接运行代码嘛? 我的还是不行欸,他老说cnstd库的xyxy24p不能导入,我看了一下源码,确实没有 你是怎么解决的呀? |
It may have something to do with the system platform, I remember I tried it on Ubuntu first, then on Windows it worked as shown above. |
Thanks for the reply! I just started doing it on Linux like you and now it doesn't work on Windows either, too bad!
…------------------ 原始邮件 ------------------
发件人: "multimodal-art-projection/MAP-NEO" ***@***.***>;
发送时间: 2024年6月26日(星期三) 下午2:49
***@***.***>;
***@***.******@***.***>;
主题: Re: [multimodal-art-projection/MAP-NEO] Can docment convert a standalone project? (Issue #4)
I have run through it by following commands on Windows Anaconda platform. conda create -n neo python=3.10 pip install -r requirements.txt python -m pip install fastdeploy-gpu-python -f https://www.paddlepaddle.org.cn/whl/fastdeploy.html conda install pytorch torchvision torchaudio pytorch-cuda=11.8 -c pytorch -c nvidia pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118
Unfortunately I have to tell you is that the effect of pdf-parser is very mediocre, worse than calling the PPStructure when testing the Chinese paper pdf.
哥们 运行完你的四个命令能直接运行代码嘛? 我的还是不行欸,他老说cnstd库的xyxy24p不能导入,我看了一下源码,确实没有 你是怎么解决的呀?
It may have something to do with the system platform, I remember I tried it on Ubuntu first, then on Windows it worked as shown above.
—
Reply to this email directly, view it on GitHub, or unsubscribe.
You are receiving this because you commented.Message ID: ***@***.***>
|
@tslyellow
|
cnstd==1.2.3 |
It;s should be very useful it the entrance can be more easy to found
The text was updated successfully, but these errors were encountered: