2013年10月20日 · The Sliding window is a problem-solving technique for problems that involve arrays/lists. These problems are easy to solve using a brute force approach in O(n^2) or O(n^3). Using the 'sliding window' technique, we can reduce the time complexity to O(n).

2021年6月22日 · Question: how to train a neural network with input being all sliding windows of width 16 over a 100k x 2k matrix, without wasting memory? The documentation of skimage.util.view_as_windows states indeed that it's costly in memory: One should be very careful with rolling views when it comes to memory usage.

2018年12月2日 · Sliding or Hopping Window: A Sliding or hopping window represents a consistent time interval in the data stream. Sliding windows can overlap, whereas tumbling windows are disjoint. For example, a sliding window can start every thirty seconds and capture one minute of data. The frequency with which sliding windows begin is called the period.

I need a rolling window (aka sliding window) iterable over a sequence/iterator/generator. (Default Python iteration could be considered a special case, where the ...

2014年7月18日 · As I get to implement a sliding window using python to detect objects in still images, I get to know the nice function: numpy.lib.stride_tricks.as_strided So I tried to achieve a general rule to avoid mistakes I may fail in while changing the size of the sliding windows I need. Finally I got this representation:

Now I want to try a sliding window approach, extracting eg 64x64 patches from the original images (no rescaling), and train a model on that. I'm not sure about how to implement this efficiently. For the training phase, I already have an online augmentation object (keras Sequence) for random transforms. Should I add a patch extraction process in ...

2018年3月1日 · This work but it is not as nice and readable as I would like. Is there a more readable way of creating a sliding window? which doesn't involve all of the ugly ternary checks. I feel like there is a more friendly way using select, skip, take, and default if empty

2022年4月28日 · Unfortunately in my case I am unable to use sliding_window_view to figure out the strides and shape, since my actual image is massive and also a custom object that doesn't accept the usage of sliding_window_view.

2013年4月11日 · Now, for each row/coordinate in column A, all windows containing the coordinate are considered and should retain the highest mean value which gives the results as shown in column 'output'. I need to obtain the output as shown above. The output should like:

2022年8月24日 · I have the following data: country objectid objectuse record_date 2022-07-20 chile 0 4 2022-07-01 chile 1 4 2022-07-02 chile 1 ...