libcamera/vivid.git - libcamera pipeline handler for VIVID

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#!/usr/bin/env python3

# SPDX-License-Identifier: BSD-3-Clause
# Copyright (C) 2022, Tomi Valkeinen <tomi.valkeinen@ideasonboard.com>

# A simple libcamera capture example
#
# This is a python version of simple-cam from:
# https://git.libcamera.org/libcamera/simple-cam.git
#
# \todo Move to simple-cam repository when the Python API has stabilized more

import libcamera as libcam
import selectors
import sys
import time

TIMEOUT_SEC = 3


def handle_camera_event(cm):
    # cm.get_ready_requests() returns the ready requests, which in our case
    # should almost always return a single Request, but in some cases there
    # could be multiple or none.

    reqs = cm.get_ready_requests()

    # Process the captured frames

    for req in reqs:
        process_request(req)


def process_request(request):
    global camera

    print()

    print(f'Request completed: {request}')

    # When a request has completed, it is populated with a metadata control
    # list that allows an application to determine various properties of
    # the completed request. This can include the timestamp of the Sensor
    # capture, or its gain and exposure values, or properties from the IPA
    # such as the state of the 3A algorithms.
    #
    # To examine each request, print all the metadata for inspection. A custom
    # application can parse each of these items and process them according to
    # its needs.

    requestMetadata = request.metadata
    for id, value in requestMetadata.items():
        print(f'\t{id.name} = {value}')

    # Each buffer has its own FrameMetadata to describe its state, or the
    # usage of each buffer. While in our simple capture we only provide one
    # buffer per request, a request can have a buffer for each stream that
    # is established when configuring the camera.
    #
    # This allows a viewfinder and a still image to be processed at the
    # same time, or to allow obtaining the RAW capture buffer from the
    # sensor along with the image as processed by the ISP.

    buffers = request.buffers
    for _, buffer in buffers.items():
        metadata = buffer.metadata

        # Print some information about the buffer which has completed.
        print(f' seq: {metadata.sequence:06} timestamp: {metadata.timestamp} bytesused: ' +
              '/'.join([str(p.bytes_used) for p in metadata.planes]))

        # Image data can be accessed here, but the FrameBuffer
        # must be mapped by the application


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