51 lines
2.5 KiB
Markdown
51 lines
2.5 KiB
Markdown
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---
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title: "Week 2"
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date: 2022-02-13T12:46:54Z
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---
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This week I set up my repositories and starting writing some basic code.
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# Set up
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Before starting any coding, I wanted to set up my remote git repositories. I had already decided I wanted the project mirrored over two remote git repositories from different providers as a safety precaution. My intial plan was to use the university's GitLab instance but as it's recently been moved behind the firewall it would have made mirroring quite difficult. Instead, I decided to use my personal [Gitea instance](https://git.oscar.blue) and mirror it to my personal account on the official [GitLab instance](https://gitlab.com/oscarpocock).
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[Gitea](https://git.oscar.blue/noble/mmp-osp1) → [GitLab](https://gitlab.com/oscarpocock/mmp-osp1)
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Gitea will periodically push to GitLab.
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# Code
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Towards the end of the week I put together some simple code to reduce the frame set. I used the OpenCV Python module to export the frames of a given video to an `output/` folder. The path of this folder is also stored in the `outputfolder` variable we see used on line 7.
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Although this code is a first step at reducing the frames set - it doesn't give us much feedback about the frames that have been deleted or kept.
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```python {linenos=table, linenostart=1}
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def display_file_sizes():
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"""Calculates the average frame filesize and deletes the frames lower
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than the average
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"""
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# create an array storing the filesize of each frame
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filesizes = []
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for filename in os.listdir(outputfolder):
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filepath = outputfolder + "/" + filename
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filesize = os.path.getsize(filepath)
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print(filepath + ": " + str(filesize))
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filesizes.append(filesize)
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# work out average
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average = sum(filesizes)/len(filesizes)
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print ("Average is: " + str(average))
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# delete files below average
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count = 0
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for filename in os.listdir(outputfolder):
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filepath = outputfolder + "/" + filename
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if filesizes[count] < average:
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# print(filepath + ": " + str(filesizes[count]))
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os.remove(filepath)
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count += 1
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```
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I didn't end up doing as much as I would have liked this week. I found myself preoccupied in other areas of my life and not putting enough emphasis on this project.
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# 1:1 Weekly meeting
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- As I didn't do as much as I would like to have done there wasn't much to discuss on my part
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- I needed to produce more code to have some basic functionality.
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- Discussed my concerns with a machine learning approach
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