apoman38
commented
3 years ago Created a new file named "shot_evaluation.py" and a new folder that contains the timestamps of shots. The execution of the file is as follows:
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In case of single video file: python3 shot_evaluation.py -f "videofile" "shotsfile"
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In case of directory of files python3 shot_evaluation.py -d "directory of videos files" "directory of shot timestamps files"
The shot timestamps files must have the same name with the video file e.g if the the video file is "movie.mp4" the text file must be "movie.txt". The final output of script is the precision and recall and in case that many videos given by the user the output is the average of precision and recall of all files.
tyiannak
@apoman38 Branch is here https://github.com/tyiannak/multimodal_movie_analysis/tree/%2313-Shot-Evaluation-Script
Algorithm to be implement Input:
Algo: gt = read_ground_truth_fromfile() , _, predicted_t = process_video(...)
time_tolerance = 0.5 for each timestamp g in gt: if g's minimum distance from predicted_t is < time_tolerance: count_gt_correct += 1
for each timestamp p in predicted_t: if p's minimum distance from gt is < time_tolerance: count_p_correct += 1
recall = count_gt_correct / total_timestamps_in_gt precision = count_p_correct / total_timestamps_predicted
Also, it should do the same if a folder is given (and count the AVERAGE among all videos + gt files)