gaopengcuhk / unofficial-pix2seq Goto Github PK
View Code? Open in Web Editor NEWUnofficial implementation of Pix2SEQ
License: Apache License 2.0
Unofficial implementation of Pix2SEQ
License: Apache License 2.0
(detr) D:\Pix2Seq-main>python predict.py
dict_keys(['model', 'optimizer', 'lr_scheduler', 'epoch', 'args'])
Traceback (most recent call last):
File "predict.py", line 110, in
scores, boxes = predict(im, model, transform)
File "predict.py", line 85, in predict
outputs = model(data)
File "D:\Anaconda\envs\detr\lib\site-packages\torch\nn\modules\module.py", line 550, in call
result = self.forward(*input, **kwargs)
TypeError: forward() missing 1 required positional argument: 'sequence'
Can it be trained under 12GB per batch?
Can your code reach the similar accuracy compared with the results in the paper?
I'm interested in your implementations.
Hi,
i begin my research on Page Stream Segmentation for a short time. PSS is a method to split the scanned documents automatically. Do you think it is possible to use Pix2Seq for this problem? Because i have seen on the paper, it could be used to solve imagine caption.
best regards,
Chao
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.