camera-util 1.0.3

Python wrapper for USB, blackfly, Raspi, Jetson Nano camerasWorks on Windows, Raspian, JetsonNano, MacOS

A collection of python threaded camera support routines for

• USB and laptop internal webcams

• RTSP streams

• MIPI CSI cameras (Raspberry Pi, Jetson Nano)

• FLIR blackfly USB camera

Save data as, HDF5, TIFF, AVI, MKV

Works on most platforms: Windows, MacOS, Unix

For detailed documentation please Readme.md.

Example program using camera

import cv2
import logging
import time
from queue import Queue

configs = {
 'camera_res'      : (1920, 1080),   # CAP_PROP_FRAME_WIDTH, CAP_PROP_FRAME_HEIGHT
 'exposure'        : -6,             # depends on camera: e.g. -5 =(2^-5)=1/32,
                                     # 0=auto, 1...max=frame interval in microseconds
 'autoexposure'    : 3.0,            # depends on camera: 0.25 or 0.75(auto), -1,0,1
 'fps'             : 30,             # fps
 'fourcc'          : "MJPG",         # cv2 camera only: MJPG, YUY2, YUYV
 'buffersize'      : -1,             # default is 4 for V4L2, max 10,
 'output_res'      : (-1, -1),       # output resolution (-1=no change)
 'flip'            : 0,              # 0=no rotation
 'displayfps'      : 5               # frame rate for display server
}

if configs['displayfps'] >= configs['fps']: display_interval = 0
else: display_interval = 1.0/configs['displayfps']

# Open display window
cv2.namedWindow('Camera', cv2.WINDOW_AUTOSIZE) # or WINDOW_NORMAL

# Setting up logging
logging.basicConfig(level=logging.DEBUG) # options are: DEBUG, INFO, ERROR, WARNING
logger = logging.getLogger("Main")

# Setting up storage
from camera.streamer.mkvstorageserver import mkvServer
mkv = mkvServer("C:\\temp\\" + "Test.mkv", configs['fps'], configs['camera_res'])
mkv.start()

# Create camera interface
from camera.capture.cv2capture import cv2Capture
camera = cv2Capture(configs, 0)
camera.start()

stop = False
while((cv2.getWindowProperty('Camera', 0) >= 0) and (not stop)):
   current_time = time.time()

   # Wait for new image
   (frame_time, frame) = camera.capture.get(block=True, timeout=None)
   # take care of camera log messages
   while not camera.log.empty():
      (level, msg)=camera.log.get_nowait()
      logger.log(level, msg)


   # Put image into storage queue
   if not mkv.queue.full():
      mkv.queue.put_nowait((frame_time, frame))
   # take care of storage log messages
   while not mkv.log.empty():
      (level, msg)=mkv.log.get_nowait()
      logger.log(level, msg)

   # Display
   if (current_time - last_display) >= display_interval:
      cv2.imshow('Camera', frame)
      if cv2.waitKey(1) & 0xFF == ord('q'): stop = True
      last_display = current_time

   # Do other things

# Clean up
camera.stop()
mkv.stop()
cv2.destroyAllWindows()