Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks

Overview

Amazon Forest Computer Vision

Satellite Image tagging code using PyTorch / Keras

Here is a sample of images we had to work with

Source: https://www.kaggle.com/c/planet-understanding-the-amazon-from-space/data

Note: the repo was developed in May 2017 on PyTorch 0.1. PyTorch was publicly announced in January 2017 and has seen tremendous changes since then.

You will find:

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Comments
  • question about the weight loss

    question about the weight loss

    Thankyou for your great code! Recently I am solving a problem about multilabel classify.And i have more lable(500) and is binary and one hot,but the 0 is more than 1, maybe about 50 times? And i notice that you have use the weight loss and seem that the weight is relevent to the frequency? Can you give me more details or ideas? Thankyou best regards!

    opened by Wangt-CN 2
  • how to declare self. mlb?

    how to declare self. mlb?

    I find your code really helpful. Thank you. I see a difference between your kaggle and github code. In your github code, you declare self.mlb, you put (if I am not wrong) all the total labels in the 'classes' array, However, in your kaggle code, it isn't done and kept empty. What is the difference and and which one of them is correct method?

    opened by nisnab 1
  • SmoothF2Loss

    SmoothF2Loss

    Dear @mratsim, Thank you for your nice code. Have you ever try SmoothF2Loss (in p2_metrics.py) in training? Does this loss function yields appropriate results? Just as another question, can we learn the threshold tensor in the training process (instead of optimize it)?

    RFC 
    opened by ahkarami 8
Owner
Mamy Ratsimbazafy
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Mamy Ratsimbazafy
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