Video Editor Utility

Source code for the utilities is available here

The setup process involves building a docker image from inside the source code folder like below.

docker build --tag platerecognizer/video-editor .

The utilities work using a config.ini that is in a similar format to the one used by Stream.

Extract Frames as Images

Add [[[frames]]] under a camera section

[cameras]    [[camera-1]]        active = yes        url = /user-data/test.mp4        # Extracting Frames        [[[frames]]]

The extracted frames will be saved in a folder named {camera_id}_frames in the folder containing your config.ini.

Draw Vehicle and Plate Bounding Boxes

This works by uploading every frame in the video to Snapshot.
Visualize plates and vehicles on a video, add [[[visualization]]] under a camera section

[cameras]    [[camera-1]]        active = yes        url = /user-data/test.mp4        # Visualization        [[[visualization]]]        token = 'ddjjdkdkfjjf22333############'        sdk_url = 'http://localhost:8080'

A new video named {camera_id}_visualization.avi will be created in your Stream folder.

Token is optional if using the Snapshot SDK.

Blur Plates and Faces

This works by uploading every frame in the video to the Blur.
To blur plates and faces in a video, add [[[blur]]] under a camera section

[cameras]    [[camera-1]]        active = yes        url = /user-data/test.mp4        # Blur        [[[blur]]]        blur_url = 'http://localhost:8080'

A new video named {camera_id}_blur.avi will be created in your Stream folder.