OlafenwaMoses/ImageAI

How to store store output or return output of video detection model

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Aperta il 26 giu 2019

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 (11 commenti) (0 reazioni) (0 assegnatari)Python (8123 star) (2130 fork)batch import
help wanted

Descrizione

I have 100 of videos, I want run in batch and store result of each video (custom detected object) in a variable or file so that I can make later decision through further code( Like if person detcted then do this ). I am not able to understand that how to store data. For frame function only prints the data in console . I want to store result for each video

my code is below. Helpe me write to a text file or store into video_path vriable for each video

video_path=detector.detectCustomObjectsFromVideo(input_file_path=os.path.join(execution_path, "test.mp4"), save_detected_video=False,log_progress=False,

                      detection_timeout=1,per_frame_function=forFrame,return_detected_frame=True)

def forFrame(output_count,frame_number,output_array,returned_frame): print("FOR FRAME " , frame_number) print("Output for each object : ", output_array) print("Output count for unique objects : ", output_count) print("------------END OF A FRAME --------------")

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Tech stack
python
Dominio
aidocumentation
Tipo issue
documentation
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3
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1-3 hours
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stale
ChiarezzaQuanto chiaramente la issue descrive problema, scope e risultato atteso.
clear
Prerequisiti
PythonImageAI basics
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40
Direzione di ricerca
The issue demonstrates a user needing to save per frame detection results to a file instead of printing. The solution likely involves modifying the `per frame function` callback to write `output array` to a text file, or using the returned data from `detectCustomObjectsFromVideo`. Examine the ImageAI documentation for methods to accumulate results across frames. Consider adding a parameter to specify a file path for output, and update the example code to show how to store results.