flashcam 1.0.46

Automatically created environment for python package

Project flashcam

FLASk supported Http webCAM

IN DEVELOPMENT

Here, the merge of several ideas forms the easy installable (via pip) webcam server. The basic goal is to

• view various technical devices during an experiment and
• have some tools to get more from the stream

Technical

• the camera is launched from web.py function frames(), where

Camera() class (defined in realcamerra.py) is first called.

• IDpath is recommended over vendor:model ... -p 14.0-usb-0:5:1.0

• I use the lossless YUYV for camera readout in the realcamera.py.

• The quality of jpg stream in defined in web.py gen() option -k

  • default was 95% ( eg. 99% / 25% )
  • for resolution 1k: 105kB/frame (230kB/20kB)
  • for res 640: 46kB/frame ( 100kB/ 8.5kB )
    • (70% 15kB, 80% 20kB, 90% 30kB, 100% 129kB)
  • finaly : 70% is already readable and small
    • 100% works too (astro)

Uninteraplible client (uni node)

The server attaches time (and frame?) stamp at the end of the data. When this client sees it, it displays that and - when tracking - it writes to the file.

This client can replay video (and use the tools). Video can be paused with SPACE.

Usage remarks

Videodevice/image/screen

It searches for the 1st video device and recommends it to the class.

If -p is used, usb videodevice is selected.

If or -p filename.jpg is given, file is streamed (searches in ~/.config/flashcam/).

If -p screenshot.jpg is given, pyautogui is used to take a screenshot and broadcast.

Use cases

Usage screen

... usage:
    flashcam ls
    flashcam getres [product | IDpath ]        # flashcam getres "Webcam C270"
    flashcam show ... show
    flashcam show  "Webcam C270"  -r 320x176

    flashcam flask & # (just a hint for gunicorn+wget)
    flashcam flask5000 [-w]   #  view on port 5000, immediatelly start browser tab

    flashcam savecfg [-a 11 ...]  # save cmdline parameters to congig for flask/gunicorn

..... advanced usage .... (accumulation, blur, threshold, frame_kind)
    flashcam show -a 19 -b 3 -t 100 -f [direct|delta|detect|histo]  [-h]  [-l 3600]

....  v4l setting .......... (exposure, gain  for automatically recommended video)
    flashcam v4l -e [auto | 0.0..1.0]  -g [0.0..1.0]

...... uninteruptable stream .....................
    flashcam uni http://192.168.0.91:8000/video  [-s ] # to save avi

Typical usecase

motion

-t parameter with threshold value triggers detect motion mode

# tune parameters with flask5000 or show; no parameter == default value
# -w means - open web view
flashcam.py flask5000  -w -l 1 -a 11 -b 11 -t 30
# save config
flashcam.py savecfg -l 1 -a 11 -b 11 -t 50
# run server - ONE worker, many threads
#    option flask should start wget with delay to start the camera
flashcam.py flask& gunicorn --threads 5  -w 1 -b 0.0.0.0:8000  --timeout 15 web:app

astro

Repair avi file

not properly done

#  x:- is compensate to right y:- is compensate to down;   -x -0.35  -y -0.015
# repair broken AVI
ls -1 *avi | xargs -n 1 -I III ffmpeg -i III -c:v copy -c:a copy repIII

Join many avi files from UNI

not properly done

ls zen_192.168.0.91_* | while read line; do echo file \'$line\'; done | ffmpeg -protocol_whitelist file,pipe -f concat -i - -c copy output.avi

Status:

• usbcheck can identify the camera by product or IDpath
• v4l2 prove of concept - exposure/gain autotune - worked
• show (imshow) was tuned, now it needs a rewrite with base_camera
• flask interface is responsive
• web.py must be same with flask5000 option
• base_camera (with greenlets) and real_camera modules work with flask
  • initialized with recommend
  • never-stopping (unlike the original version)
  • more tricky tuning classmethod andstaticmethod was needed
• flask interface works
• gray frame is sent when no camera through web
• autostarts (threading) with wget -u -p -O /dev/null for 3 sec. and then kill
• properly taken product in real_cam
• rewrite proprerly for gunicorn (no gevent; --w 1 --t 5+); flashcam flask
• with automatic wget to start, with debugprint for gunicorn too
• !! product may not work now
• stream_enhancer decorations ON
• =detect motion basics ON -t threshold (0 - means NO)
• three modes -a 10 -b 3 -t 100 -f [direct|delta|detect]
• v4l commandline and in-image display works
• astro delta x,y per second works
• saving to $HOME path
• uni option ... uninteruptable view, 's' to save 'q' to quit, -s to save avi

To see next

• automatic exposure
• save jpg from web

V4l2

Camera sometimes needs to tune at dark conditions. Nicely done project to call v4l2-ctrl was used

Identification of a camera

Several devices on USB, replugging or an built-in webcam of the notebok or sevral dev/video devices per CAM can make identification via /dev/video more difficult.

Connection SEREAD/FLASHCAM/NOTIFATOR

Since:

• it is possible to control camera image by mmap
  • example being seread looking at ports 8100,8099 (udp,tcp)
• camera can report to telegram (via notifator)

It is possible to chain all and report to telegram like following:

1. Prepare Notifator

~/.telegram.token should contain the TOKEN and CHATID (same for all your bots) It may look like this:

[ALERT]
token=1479238749:ASnFKSJHaUGgFKBFASKUYGbjhahbefBBJSE
chatid=394972397

More bots possible in the same file.

2. Start seread

# create socket on background
socat PTY,link=/tmp/virtser_connect,raw,echo=0 PTY,link=/tmp/virtser_speak,raw,echo=0&
# initialize it
echo ahoj > /tmp/virtser_speak
# launch server with this fake socket
# -s means - open 8099 and 8100 servers
./bin_seread -D /tmp/virtser_connect -s

3. Start flashcam with DM

# like this, DETECTION-MOTION MUST be enabled (-t)
# in version 1.0.35
#  imageZMQ MUST be enabled too (the address) - to check -
./bin_flashcam.py flask5000 -t 50 -a 3 -b 3 -f detect -i 127.0.0.1

4. Change screens, send telegrams

echo "influxmebeam nfs 1 BEAM_ON_ 1 1 123"     | nc -u 127.0.0.1 8100
echo "influxmebeam nfs 1 DET_RDY__ 1 1 123"    | nc -u 127.0.0.1 8100
echo "influxmebeam nfs 1 DET_RDY_ 1 1 123"     | nc -u 127.0.0.1 8100
echo "influxmebeam nfs 1 DET_NRDY 1 1 123"     | nc -u 127.0.0.1 8100
echo "influxmebeam nfs START_RUN_N1_P2_dasqwe" | nc -u 127.0.0.1 8100
echo "influxmebeam nfs 1 DET_RDY_ 1 1 123"     | nc -u 127.0.0.1 8100
echo "influxmebeam nfs STOP_RUN time"          | nc -u 127.0.0.1 8100