# -*- coding: utf-8 -*- """ """ from __future__ import division import io import time import numpy as np from PIL import Image import logging # Type hinting from typing import Tuple from .base import BaseCamera, CaptureObject # MAIN CLASS class MockStreamer(BaseCamera): def __init__(self): # Run BaseCamera init BaseCamera.__init__(self) # Store state of PiCameraStreamer self.state.update({ 'stream_active': False, 'record_active': False }) # Update config properties self.image_resolution = (1312, 976) self.stream_resolution = (640, 480) self.numpy_resolution = (1312, 976) self.jpeg_quality = 75 self.framerate = 10 # Create an empty stream self.stream = io.BytesIO() # Start streaming self.start_worker() def initialisation(self): """Run any initialisation code when the frame iterator starts.""" pass def close(self): """Close the Raspberry Pi PiCameraStreamer.""" # Run BaseCamera close method BaseCamera.close(self) # HANDLE SETTINGS def read_config(self) -> dict: """ Return config dictionary of the PiCameraStreamer. """ conf_dict = { 'stream_resolution': self.stream_resolution, 'image_resolution': self.image_resolution, 'numpy_resolution': self.numpy_resolution, 'jpeg_quality': self.jpeg_quality } return conf_dict def apply_config(self, config: dict): """ Write a config dictionary to the PiCameraStreamer config. The passed dictionary may contain other parameters not relevant to camera config. Eg. Passing a general config file will work fine. Args: config (dict): Dictionary of config parameters. """ # TODO: Include timing and batching logic when applying PiCamera settings paused_stream = False logging.debug("PiCameraStreamer: Applying config:") logging.debug(config) with self.lock: # Apply valid config params to Picamera object if not self.state['record_active']: # If not recording a video # PiCameraStreamer parameters for key, value in config.items(): # For each provided setting if hasattr(self, key): setattr(self, key, value) # If stream was paused to update config, unpause if paused_stream: logging.info("Resuming stream.") self.start_stream_recording() else: raise Exception( "Cannot update camera config while recording is active.") def set_zoom(self, zoom_value: float = 1.) -> None: """ Change the camera zoom, handling re-centering and scaling. """ logging.warning("Zoom not implemented in mock camera") # LAUNCH ACTIONS def start_preview(self, fullscreen=True, window=None): """Start the on board GPU camera preview.""" logging.warning("GPU preview not implemented in mock camera") def stop_preview(self): """Stop the on board GPU camera preview.""" logging.warning("GPU preview not implemented in mock camera") def start_recording( self, output, fmt: str = 'h264', quality: int = 15): """Start recording. Start a new video recording, writing to a output object. Args: output (CaptureObject/str): Output object to write data bytes to. fmt (str): Format of the capture. quality (int): Video recording quality. Returns: output_object (str/BytesIO): Target object. """ with self.lock: # Start recording method only if a current recording is not running logging.warning("Recording not implemented in mock camera") def stop_recording(self): """Stop the last started video recording on splitter port 2.""" with self.lock: logging.warning("Recording not implemented in mock camera") def capture( self, output, fmt: str = 'jpeg', use_video_port: bool = False, resize: Tuple[int, int] = None, bayer: bool = True): """ Capture a still image to a StreamObject. Defaults to JPEG format. Target object can be overridden for development purposes. Args: output (CaptureObject/str): Output object to write data bytes to. use_video_port (bool): Capture from the video port used for streaming. Lower resolution, faster. fmt (str): Format of the capture. resize ((int, int)): Resize the captured image. bayer (bool): Store raw bayer data in capture """ with self.lock: logging.warning("Capture not implemented in mock camera") def gen_img(self): imarray = np.random.rand(self.stream_resolution[1], self.stream_resolution[0], 3) * 255 im = Image.fromarray(imarray.astype('uint8')).convert('L') im.save(self.stream, format="JPEG") # HANDLE STREAM FRAMES def frames(self): """ Create generator that returns frames from the camera. Records video from port 1 to a byte stream, and iterates sequential frames. """ # Run this initialisation method self.initialisation() # Update state logging.debug("STREAM ACTIVE") # While the iterator is not closed try: while True: # reset stream for next frame self.stream.seek(0) self.stream.truncate() # to stream, read the new frame time.sleep(1 / self.framerate * 0.1) # yield the result to be read self.gen_img() frame = self.stream.getvalue() # ensure the size of package is right if len(frame) == 0: pass else: yield frame # When GeneratorExit or StopIteration raised, run cleanup code finally: logging.debug("FRAME ITERATOR END")