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OlafenwaMoses / ImageAI

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
https://www.genxr.co/#products
MIT License
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Video Detection Trims Video clip #293

Open eldonluk opened 5 years ago

eldonluk commented 5 years ago

When I try running the Video Object Detection, the resulting detection clip is trimmed to just 2 seconds long, even though my video is longer. Does anyone know how to resolve this issue?

OlafenwaMoses commented 5 years ago

Can you share your video detection code? What is the length of your video input?

eldonluk commented 5 years ago

`from imageai.Detection import VideoObjectDetection import os

execution_path = os.getcwd()

detector = VideoObjectDetection() detector.setModelTypeAsRetinaNet() detector.setModelPath( os.path.join(execution_path , "resnet50_coco_best_v2.0.1.h5")) detector.loadModel()

video_path = detector.detectObjectsFromVideo(input_file_path=os.path.join( execution_path, "768.mp4"), output_file_path=os.path.join(execution_path, "768_detected"), frames_per_second=50, log_progress=True) print(video_path) `

eldonluk commented 5 years ago

Above is the code I've been using. The videos I have been passing vary from 10 seconds to minutes long, but all of them clip to 2 seconds when the detections are generated.

OlafenwaMoses commented 5 years ago

Your frames_per_second is pretty high 50. If the FPS of your videos are much less than 50, then the generated video will be shorter.

eldonluk commented 5 years ago

Awesome! I dropped it down to 10 and it lengthened the video to 6 seconds. Is there anyway to guarantee that is can run detections on the full length of my video?

OlafenwaMoses commented 5 years ago

Use the code below to obtain the frame per second for your video. Then use the value in your detection.

import cv2
if __name__ == '__main__' :

    video = cv2.VideoCapture("video.mp4");

    fps = video.get(cv2.CAP_PROP_FPS)
    print "Frames per second of video: {0}".format(fps)

    video.release()
eldonluk commented 5 years ago

I ran the code and found out all my videos have a fps of 59.94005994005994. When I put that in, it shrinks my video back to just the first second. I think it is only running detections on the first 57 frames of my video each time, as that is what my command terminal gets to when I run the code. Do you know how to have it run on more frames than the first 57?

OlafenwaMoses commented 4 years ago

Until such time we can figure out why only the first second of your video is detected, you can use OpenCV to obtain the frames from the video and feed it into the ObjectDetection class to process each frame individually as a numpy array and process the result for saving/displaying as a video. Visit the ImageAI documentation linked below on this.

https://imageai.readthedocs.io/en/latest/

eldonluk commented 4 years ago

Sounds great! I will definitely check it out! Thank you so much for all your help!

ELDON LUK Data Scientist Intern (703) 788-0010 Direct (571) 338-2828 Mobile (703) 288-0012 Fax

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Until such time we can figure out why only the first second of your video is detected, you can use OpenCV to obtain the frames from the video and feed it into the ObjectDetection class to process each frame individually as a numpy array and process the result for saving/displaying as a video. Visit the ImageAI documentation linked below on this.

https://imageai.readthedocs.io/en/latest/

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