fix: changed clip extractions logic and display ml detections

[victor-wildlife]

Summary:

1. Changed clip extraction logic

I simplified the way we extract clips as there was a confusion between gpu vs no gpu, example vs non example clips, modified vs non modifed clips and ffmpeg vs python_ffmpeg. The new logic uses the "is_example" argument from the function "create_clips" to generate example or "ready to upload to Zooniverse" clips. We couldn't use ffmpeg with GPU resource in colab anymore so I updated the way we install ffmpeg in colab

2. Display ml detections

In tut#9, I fixed the approach to plot detections and created a way to download the detections as a csv file with the species detections and confidence values for each species as columns

3. Organised functions and removed unnecessary ones

While implementing the above updates I deleted functions we no longer use and organised existing functions (group those that are related).

Breakdown by file:

• kso_utils/movie_utils.py I used ffmpeg.run instead of subprocess and the latest GPU to create clips

• kso_utils/project.py Used logging statements instead of print Stopped using the "create_modified_clips" as it's no longer needed in the new clip extraction approach Added the "download_detections_species_cols_csv" function moved setup_paths, choose_train_params, train_yolo, train_yolov5, enhance_yolo, enhance_yolov5 and enhance_replace functions to the #t5 section removed "detect_yolov5" fun as no longer used

• kso_utils/tutorials_utils.py Deleted the "process_source" "extract_example_clips", "modify_clips", "review_clip_selection" and "create_modified_clips" functions as they're no longer used For easier formatting, I moved the clip-related functions close to each other. Added functionality to check ffmpeg availablity and set the clips to remove audio as default Updated "extract_clips" and "create_clips" to the new clip extraction logic Used pathlib and updated the way the detection matplot handles time (seconds in the movie) to enable plot detections in colab

• kso_utils/widgets.py Updated the way we enabled GPU compatibility with ffmpeg in Colab Updated how we display the number of clips to be generated Deleted the "color_correction" option as it doesn't work with our current use of ffmpeg and we don't have any project using it. Updated the blur sens info option to match our current use of ffmpeg

• requirements_colab.txt added ffmpeg_python as a requirement

• test/widget-tests.py Use crf instead of filter to match the first widget option in select_modification of clips

• tutorials/03_Upload_clips_to_Zooniverse.ipynb Matched new naming of modified clips

• tutorials/09_Run_ML_Models_on_footage.ipynb added the download_detections_species_cols_csv option

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[victor-wildlife]

@jannesgg I cleaned the commits from the previous two branches and combined them into this one. Please share your thoughts when you have the chance