背景差分 Python* デモ#

usage: background_subtraction_demo.py [-h] -m MODEL [--adapter {openvino,ovms}] -i INPUT [-d DEVICE] [-t PROB_THRESHOLD] [--resize_type {crop,standard,fit_to_window,fit_to_window_letterbox}] [--labels LABELS] [--target_bgr TARGET_BGR] 
                                      [--background BACKGROUND] [--blur_bgr BLUR_BGR] [--layout LAYOUT] [-nireq NUM_INFER_REQUESTS] [-nstreams NUM_STREAMS] [-nthreads NUM_THREADS] [--loop] [-o OUTPUT] [-limit OUTPUT_LIMIT] [--no_show] 
                                      [--show_with_original_frame] [--output_resolution OUTPUT_RESOLUTION] [-u UTILIZATION_MONITORS] [-r] 

Options: 
    -h, --help          Show this help message and exit.
    -m MODEL, --model MODEL 
                        Required. Path to an .xml file with a trained model or 
                        address of model inference service if using OVMS adapter.
    --adapter {openvino,ovms} 
                        Optional. Specify the model adapter.Default is openvino.
    -i INPUT, --input INPUT 
                        Required. An input to process.The input must be a single image, 
                        a folder of images, video file or camera id. 
    -d DEVICE, --device DEVICE 
                        Optional.Specify a device to infer on (the list of available devices is shown below).Use '-d HETERO:<comma-separated_devices_list>' format to specify HETERO plugin.Use '-d MULTI:<comma-separated_devices_list>’ 
                        format to specify MULTI plugin.Default is CPU 
    -t PROB_THRESHOLD, --prob_threshold PROB_THRESHOLD 
                        Optional. Probability threshold for detections filtering.
    --resize_type {crop,standard,fit_to_window,fit_to_window_letterbox} 
                        Optional. A resize type for model preprocess. By default used model predefined type.
    --labels LABELS     Optional. Labels mapping file.
    --target_bgr TARGET_BGR 
                        Optional. Background onto which to composite the output (by default to green field).
    --background BACKGROUND 
                        Optional. Background image for background-matting model. This is a background image that equal to a real background behind a person on an input frame and must have the same shape as an input image.
    --blur_bgr BLUR_BGR Optional. Background blur strength (by default with value 0 is not applied).
    --layout LAYOUT     Optional.Model inputs layouts.Ex.NCHW or input0:NCHW,input1:NC in case of more than one input.Inference options: 
    -nireq NUM_INFER_REQUESTS, --num_infer_requests NUM_INFER_REQUESTS 
                        Optional.Number of infer requests.
    -nstreams  NUM_STREAMS, --num_streams NUM_STREAMS 
                        Optional. Number of streams to use for inference on the CPU or/and GPU in throughput mode (for HETERO and MULTI device cases use format <device1>:<nstreams1>,<device2>:<nstreams2> or just <nstreams>).
    -nthreads NUM_THREADS, --num_threads NUM_THREADS 
                        Optional.Number of threads to use for inference on 
                        CPU (including HETERO cases).Input/output options: 
    --loop              Optional.Enable reading the input in a loop.
    -o OUTPUT, --output OUTPUT 
                        Optional. Name of the output file(s) to save.Frames of odd width or height can be truncated.See https://github.com/opencv/opencv/pull/24086 
    -limit OUTPUT_LIMIT, --output_limit OUTPUT_LIMIT 
                        Optional. Number of frames to store in output.If 0 is set, all frames are stored.
    --no_show           Optional. Don't show output.
    --show_with_original_frame 
                        Optional. Merge the result frame with the original one.
    --output_resolution OUTPUT_RESOLUTION 
                        Optional. Specify the maximum output window resolution in (width x height) format.Example: 1280x720.Input frame size used by default.
    -u UTILIZATION_MONITORS, --utilization_monitors UTILIZATION_MONITORS 
                        Optional. List of monitors to show initially.Debug options: 
    -r, --raw_output_message 
                        Optional.  Output inference results as mask histogram.