Open Source Computer Vision Library https://opencv.org/
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
 
 
 
 
 
 

168 lines
5.2 KiB

import numpy as np
import cv2
from time import clock
from numpy import pi, sin, cos
import common
class VideoSynthBase(object):
def __init__(self, size=None, noise=0.0, bg = None, **params):
self.bg = None
self.frame_size = (640, 480)
if bg is not None:
self.bg = cv2.imread(bg, 1)
h, w = self.bg.shape[:2]
self.frame_size = (w, h)
if size is not None:
w, h = map(int, size.split('x'))
self.frame_size = (w, h)
self.bg = cv2.resize(self.bg, self.frame_size)
self.noise = float(noise)
def render(self, dst):
pass
def read(self, dst=None):
w, h = self.frame_size
if self.bg is None:
buf = np.zeros((h, w, 3), np.uint8)
else:
buf = self.bg.copy()
self.render(buf)
if self.noise > 0.0:
noise = np.zeros((h, w, 3), np.int8)
cv2.randn(noise, np.zeros(3), np.ones(3)*255*self.noise)
buf = cv2.add(buf, noise, dtype=cv2.CV_8UC3)
return True, buf
def isOpened(self):
return True
class Chess(VideoSynthBase):
def __init__(self, **kw):
super(Chess, self).__init__(**kw)
w, h = self.frame_size
self.grid_size = sx, sy = 10, 7
white_quads = []
black_quads = []
for i, j in np.ndindex(sy, sx):
q = [[j, i, 0], [j+1, i, 0], [j+1, i+1, 0], [j, i+1, 0]]
[white_quads, black_quads][(i + j) % 2].append(q)
self.white_quads = np.float32(white_quads)
self.black_quads = np.float32(black_quads)
fx = 0.9
self.K = np.float64([[fx*w, 0, 0.5*(w-1)],
[0, fx*w, 0.5*(h-1)],
[0.0,0.0, 1.0]])
self.dist_coef = np.float64([-0.2, 0.1, 0, 0])
self.t = 0
def draw_quads(self, img, quads, color = (0, 255, 0)):
img_quads = cv2.projectPoints(quads.reshape(-1, 3), self.rvec, self.tvec, self.K, self.dist_coef) [0]
img_quads.shape = quads.shape[:2] + (2,)
for q in img_quads:
cv2.fillConvexPoly(img, np.int32(q*4), color, cv2.CV_AA, shift=2)
def render(self, dst):
t = self.t
self.t += 1.0/30.0
sx, sy = self.grid_size
center = np.array([0.5*sx, 0.5*sy, 0.0])
phi = pi/3 + sin(t*3)*pi/8
c, s = cos(phi), sin(phi)
ofs = np.array([sin(1.2*t), cos(1.8*t), 0]) * sx * 0.2
eye_pos = center + np.array([cos(t)*c, sin(t)*c, s]) * 15.0 + ofs
target_pos = center + ofs
R, self.tvec = common.lookat(eye_pos, target_pos)
self.rvec = common.mtx2rvec(R)
self.draw_quads(dst, self.white_quads, (245, 245, 245))
self.draw_quads(dst, self.black_quads, (10, 10, 10))
classes = dict(chess=Chess)
presets = dict(
empty = 'synth:',
lena = 'synth:bg=../cpp/lena.jpg:noise=0.1',
chess = 'synth:class=chess:bg=../cpp/lena.jpg:noise=0.1:size=640x480'
)
def create_capture(source = 0, fallback = presets['chess']):
'''
source: <int> or '<int>|<filename>|synth [:<param_name>=<value> [:...]]'
'''
source = str(source).strip()
chunks = source.split(':')
# hanlde drive letter ('c:', ...)
if len(chunks) > 1 and len(chunks[0]) == 1 and chunks[0].isalpha():
chunks[1] = chunks[0] + ':' + chunks[1]
del chunks[0]
source = chunks[0]
try: source = int(source)
except ValueError: pass
params = dict( s.split('=') for s in chunks[1:] )
cap = None
if source == 'synth':
Class = classes.get(params.get('class', None), VideoSynthBase)
try: cap = Class(**params)
except: pass
else:
cap = cv2.VideoCapture(source)
if 'size' in params:
w, h = map(int, params['size'].split('x'))
cap.set(cv2.cv.CV_CAP_PROP_FRAME_WIDTH, w)
cap.set(cv2.cv.CV_CAP_PROP_FRAME_HEIGHT, h)
if cap is None or not cap.isOpened():
print 'Warning: unable to open video source: ', source
if fallback is not None:
return create_capture(fallback, None)
return cap
if __name__ == '__main__':
import sys
import getopt
print 'USAGE: video.py [--shotdir <dir>] [source0] [source1] ...'
print "source: '<int>' or '<filename>' or 'synth:<params>'"
print
args, sources = getopt.getopt(sys.argv[1:], '', 'shotdir=')
args = dict(args)
shotdir = args.get('--shotdir', '.')
if len(sources) == 0:
sources = [ 0 ]
print 'Press SPACE to save current frame'
caps = map(create_capture, sources)
shot_idx = 0
while True:
imgs = []
for i, cap in enumerate(caps):
ret, img = cap.read()
imgs.append(img)
cv2.imshow('capture %d' % i, img)
ch = 0xFF & cv2.waitKey(1)
if ch == 27:
break
if ch == ord(' '):
for i, img in enumerate(imgs):
fn = '%s/shot_%d_%03d.bmp' % (shotdir, i, shot_idx)
cv2.imwrite(fn, img)
print fn, 'saved'
shot_idx += 1
cv2.destroyAllWindows()