I write some code in python to open USB camera and grab frame from it. I use my code for http stream. For JPEG encode I use libturbojpeg library. For this I use 64 bit OS.
product: Raspberry Pi 3 Model B Rev 1.2
serial: 00000000f9307746
width: 64 bits
capabilities: smp cp15_barrier setend swp
I do some test with different resolutions.
Resolution FPS Time for encode
640 x 480 ~35 ~0.01
1280 x 720 ~17 ~0.028
And this is my code
import time
import os
import re
import uvc
from turbojpeg import TurboJPEG, TJPF_GRAY, TJSAMP_GRAY
jpeg = TurboJPEG("/opt/libjpeg-turbo/lib64/libturbojpeg.so")
camera = None
import numpy as np
from threading import Thread
class ProcessJPG(Thread):
def __init__(self, data):
self.jpeg_data = None
self.data = data
super(ProcessJPG, self).__init__()
def run(self):
self.jpeg_data = jpeg.encode((self.data))
def get_frame(self):
self.frame = camera.get_frame()
global camera
dev_list = uvc.device_list()
print("devices: ", dev_list)
camera = uvc.Capture(dev_list[1]['uid'])
camera.frame_size = camera.frame_sizes[2] // set 1280 x 720
camera.frame_rate = camera.frame_rates[0] // set 30 fps
class GetFrame(Thread):
def __init__(self):
self.frame = None
super(GetFrame, self).__init__()
def run(self):
self.frame = camera.get_frame()
_fps = -1
count_to_fps = 0
_real_fps = 0
from time import time
_real_fps = ""
cfps_time = time()
while True:
if camera:
t = GetFrame()
t.start()
t.join()
img = t.frame
timestamp = img.timestamp
img = img.img
ret = 1
t_start = time()
t = ProcessJPG(img)
t.start()
t.join()
jpg = t.jpeg_data
t_end = time()
print(t_end - t_start)
count_to_fps += 1
if count_to_fps >= _fps:
t_to_fps = time() - cfps_time
_real_fps = 1.0 / t_to_fps
cfps_time = time()
count_to_fps = 0
print("FPS, ", _real_fps)
Encoding line is: jpeg.encode((self.data))
My question is, it is possible to increase FPS for 1280 x 720 (eg 30fps) resolution or should I use more powerful device? When I look on htop during the computation CPU is not used in 100%.
EDIT: Camera formats:
[video4linux2,v4l2 @ 0xa705c0] Raw : yuyv422 : YUYV 4:2:2 : 640x480 1280x720 960x544 800x448 640x360 424x240 352x288 320x240 800x600 176x144 160x120 1280x800
[video4linux2,v4l2 @ 0xa705c0] Compressed: mjpeg : Motion-JPEG : 640x480 1280x720 960x544 800x448 640x360 800x600 416x240 352x288 176x144 320x240 160x120
It is possible and you don't need more powerful hardware.
From the pyuvc README.md,
* Capture instance will always grab mjpeg conpressed frames from cameras.
When your code accesses the .img
property, that invokes jpeg2yuv
(see
here and
here). Then
you are re-encoding with jpeg_encode()
. Try using frame.jpeg_buffer
after
the capture and don't touch .img
at all.
I took a look at pyuvc on an RPi2 with a Logitech C310 and made a simplified example,
import uvc
import time
def main():
dev_list = uvc.device_list()
cap = uvc.Capture(dev_list[0]["uid"])
cap.frame_mode = (1280, 720, 30)
tlast = time.time()
for x in range(100):
frame = cap.get_frame_robust()
jpeg = frame.jpeg_buffer
print("%s (%d bytes)" % (type(jpeg), len(jpeg)))
#img = frame.img
tnow = time.time()
print("%.3f" % (tnow - tlast))
tlast = tnow
cap = None
main()
I get ~.033s per frame, which works out to ~30fps at ~8%CPU. If I uncomment the #img = frame.img
line it goes up to ~.054s/frame or ~18fps at 99%CPU (the decode time limits the capture rate).