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My goal is to train a model that can output sequences of text from image inputs. Using the IAM handwriting dataset for example, we would pass the model an image
![image](https://user-images.github…
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There is an error in your code.
video_captioning_rl/models/seq2seq_atten.py
frame_packed = nn.utils.rnn.pack_padded_sequence(frames, flengths, batch_first=True)
ValueError: some of the stride…
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# ESIP Member Organization
Alaska Ocean Observing System (AOOS) and Axiom Data Science
# Mentors
Jesse Lopez, Dan Olsen
# Project Idea
Build, compare, and analyze neural network models …
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Hi, for the `tools/vid_feature_extractor.py` for video feature extraction a module `pretrainedmodels` it's importing cannot be found. Thanks.
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I found the way that allennlp handle deep learning experiments quite elegant. And the quality of code is so great. I am mainly doing research on computer vision, and didn't find something similar. I t…
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Thanks for your excellent repo and paper.
From your paper I learnt that you used kinetic pertained model to extract features for video captioning task. Could you explain more about how you extract EC…
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Hi Wang,
Thanks for sharing the code. I have couple of questions if you may ans one by one please?
(1) When we say batch_size = 1, isn't it mean no of batches = train_size ? then why it shows 1…
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https://github.com/pannous/tensorflow-ocr
[Developing a Standard OCR Pipeline The utilization of Pc Imaginative and prescient and Deep Discovering out](http://a1a.in/developing-a-standard-ocr-pipel…
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Hi
I know the bbx annotations of testing set is only for online evaluation. However, the sentence annotations of testing set do not affect the online evaluation. I didn't find them in the released …
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