def __init__(self,
filename,
window="Input",
nextModule=None,
fourCC_str="XVID",
fps=15,
size=None,
bw=False,
no_annotations=False):
'''
Constructor
@param filename: The full output filename. Include the extension, such as .avi.
@param window: The window name to use when displaying this VSP's
output. Specify None to suppress showing the output, but note that
if you modify the current image with annotations, those will be
persisted "downstream" to later processors.
@param nextModule: A Video Stream Processor object that should be
invoked on every frame after this processor has finished.
@param fourCC_str: The "Four CC" string that is used to specify the encoder.
@param fps: Frames per second. Not all codecs allow you to specify arbitrary frame rates, however.
@param size: A tuple (w,h) representing the size of the output frames.
@param bw: Specify true if you wish for a black-and-white only output.
@param no_annotations: set to True to output the original, non-annotated version of the image
'''
cvFourCC = cv.CV_FOURCC(*fourCC_str)
if bw:
colorFlag = cv.CV_LOAD_IMAGE_GRAYSCALE
else:
colorFlag = cv.CV_LOAD_IMAGE_UNCHANGED
self._bw = bw
self._out = cv.CreateVideoWriter(filename, cvFourCC, fps, size,
colorFlag)
self._no_annotations = no_annotations
AbstractVSP.__init__(self, window=window, nextModule=nextModule)
def __init__(self):
# Constants
time_limit = 60
index = 0
file_dir = "data"
vid_type = ".avi"
vid_date = datetime.strftime(datetime.now(), "%Y-%m-%d %H:%M:%S")
vid_file = "%s%s" % (vid_date, vid_type)
vid_path = os.path.join(file_dir, vid_file)
log_type = '.csv'
log_file = "%s%s" % (vid_date, log_type)
log_path = os.path.join(file_dir, log_file)
fps = 25.0
frame_size = (640, 480)
gps_device="/dev/ttyS0"
gps_baud=38400
# Initialize Video Capture
try:
self.camera = cv2.VideoCapture(index)
print 'cam initialized'
except:
print 'Cam failed'
time.sleep(1)
# Initialize Video Writer
try:
self.vid_writer = cv2.VideoWriter(vid_path, cv.CV_FOURCC('M', 'J', 'P', 'G'), fps, frame_size, True)
print "video initialized"
except:
print 'Video failed'
# Initialize CSV file
try:
self.csvfile = open(log_path, 'w')
except:
print 'CSV failed'
# Initialize GPS
try:
self.lat = 0.0
self.lon = 0.0
self.alt = 0.0
self.speed = 0.0
#self.gps = serial.Serial(gps_device, gps_baud)
#thread.start_new_thread(self.update_gps, ())
print 'gps initialized'
except Exception as e:
print 'GPS failed %s' % str(e)
# Initialize Controller
try:
self.angle = 0
self.encoder = 0
self.controller = serial.Serial('/dev/ttyACM0', 9600, timeout=0.05)
thread.start_new_thread(self.update_controller, ())
except Exception as e:
print 'GPS failed %s' % str(e)
def copy_paste_video(video_in, video_out, start_frame = 0, total_frames = 0):
(capt, frames_num, fps, frame_width, frame_height) = open_video2(video_in)
vwriter = cv2.VideoWriter(video_out, cv.CV_FOURCC('P', 'I', 'M', '1'), \
fps, (frame_width, frame_height), True)
assert start_frame >= 0
if total_frames == 0:
total_frames = frames_num - start_frame
if start_frame + total_frames > frames_num:
total_frame = frames_num - start_frame
print 'Copy pasting frames %d-%d (total %d) from %s to %s' % \
(start_frame, start_frame + total_frames, total_frames, video_in, video_out)
frame_i = 0
while frame_i < start_frame:
_ = capt.read()
frame_i += 1
#print 'Skipped frame %d out of %d' % (frame_i, start_frame)
frame_i = 0
while frame_i < total_frames:
frame = capt.read()
if frame[0]:
vwriter.write(frame[1])
#print 'Written frame %d out of %d' % (frame_i, total_frames)
frame_i += 1
def convert2vid(bdjoints, fimgs, fps, Vtype=0):
# Vtype : 0 : color m, 1: depth ,2: body index
if Vtype == 0:
fsize = (1920, 1080)
extname = ''
elif Vtype == 1:
fsize = (512, 424)
extname = 'dp'
else:
fsize = (512, 424)
extname = 'bdidx'
#now = datetime.datetime.now()
vid = 'kinect' + repr(now.month).zfill(2) + repr(now.day).zfill(2) + repr(
now.hour).zfill(2) + repr(now.minute).zfill(2) + '_' + extname + '.avi'
video = cv.CreateVideoWriter(vid, cv.CV_FOURCC('L', 'A', 'G', 'S'), fps,
fsize, True)
print 'making video .....'
for i in fimgs:
bitmap = cv.CreateImageHeader(fsize, cv.IPL_DEPTH_8U, 3)
cv.SetData(bitmap, i.tostring(), i.dtype.itemsize * 3 * i.shape[1])
cv.WriteFrame(video, bitmap)
print 'there r total ' + repr(len(fimgs)) + ' frames'
del video
def recordToggleRun(self, evt=None):
""" Camera Recording on/off was toggled by user. """
if not self.recordToggle.GetValue():
if self._videoWriter!=None:
del self._videoWriter
self._videoWriter = None
self.recordCombo.Enable(True)
else:
#if name is empty, generate a unique file name for the directory
name = self.recordCombo.GetValue()
if name=="":
tag = 1
name = "video"+str(tag)+".avi"
while name in os.listdir(self._videoDir):
tag += 1
name = "video"+str(tag)+".avi"
self.recordCombo.SetValue(name)
if '.' not in name: #append .avi if no dot extension
name += ".avi"
self.recordCombo.SetValue(name)
fileName = self._videoDir+name
#Create a videoWriter to save processed camera inputs
#CreateVideoWriter(filename, fourcc, fps, frame_size, is_color)
self._videoWriter = cv.CreateVideoWriter(fileName, cv.CV_FOURCC('I','Y','U','V'), \
15, self._networkSize, 0)
self.recordCombo.Disable()
def __init__(self,
path,
size,
fourcc=cv.CV_FOURCC('M', 'J', 'P', 'G'),
fps=30,
color=1):
"""Create a new OpenCV Instance"""
self.writer = cv.CreateVideoWriter(path, fourcc, fps, size, color)
def __init__(self, video_file="data/test_5/drone_eye.avi"):
self.cap = cv2.VideoCapture(video_file)
self.cap.set(cv.CV_CAP_PROP_FPS, 30)
self.image_processing = ImageProcessing(area_treshold=300)
self.writer = cv2.VideoWriter(filename="kalman_tracking5.avi", fps=30, frameSize=(
320, 240), fourcc=cv.CV_FOURCC('M', 'J', 'P', 'G'))
self.cam_altitude = []
self.observations = []
def __init__(self, fps, size, thread):
self.thread = None
if os.path.exists(self.get_record_path()):
self.video = cv2.VideoWriter(self.get_record_path() + "/" + self.get_file_name(),
cv.CV_FOURCC('D','I','V','3'), fps, size, True)
self.thread = thread
thread.add_observer(self.thread_observer)
else:
print "Error: record path not available"
def mergeImageFilesToVideo(directory, outputFile="merge.avi", resolution=None, recurse=False):
"""
Scan all files present in the specified directory and sort
alphabetically. Look at each file in order and if the file has
an image extension (bmp, jpg, png) supported by OpenCV, then open
it and append the image to an output video file. If the resolution
parameter is None then set the output video resolution to be the
resolution of the first image file detected and resize subsequent
image files to this size.
@param directory: absolute directory location to scan.
@param outputFile: name of the output video file to create.
@param resolution: the output resolution to use for the video, if
None then auto-detect based on first read image file.
@param recurse: if true then recurse into all subdirectories and perform
the same task to create one video file per directory containing images.
"""
print "Check Dir: ",directory
if not os.path.isdir(directory):
raise RuntimeError("The path is not a valid directory.")
cvImg = None
videoWriter = None
for file in os.listdir(directory):
absFile = directory+file
#print absFile
ex = file[-4:]
if os.path.isdir(absFile):
if recurse:
mergeImageFilesToVideo(absFile+os.sep, recurse=True)
elif ex==".bmp" or ex==".jpg" or ex==".png":
img = cv.LoadImage(absFile, cv.CV_LOAD_IMAGE_GRAYSCALE)
if img==None:
continue
#TODO: what is img set to if file is not valid image? (None?)
if resolution==None:
resolution = (img.width, img.height)
if resolution[0]<64 or resolution[1]<64:
resolution = (64,64)
if videoWriter==None:
outDir = DESTDIR+directory[len(ROOTDIR):].replace(os.sep, "_")
print outDir+outputFile
videoWriter = cv.CreateVideoWriter(outDir+outputFile, cv.CV_FOURCC('I','Y','U','V'), \
15, resolution, 0)
if cvImg==None:
cvImg = cv.CreateImage(resolution, cv.IPL_DEPTH_8U, 1)
cv.Resize(img, cvImg)
cv.WriteFrame(videoWriter, cvImg)
if videoWriter!=None:
del videoWriter
def create_v(frames, path):
#fourcc = cv2.VideoWriter_fourcc(*'XVID')
'''fourcc = cv.CV_FOURCC('i','Y', 'U', 'V')
frame=cv.LoadImage(path+"/"+frames[2])
frame_size = cv.GetSize(frame)
print "Video size: ", frame_size
out=cv2.VideoWriter('output.avi',fourcc,1.0,frame_size)
for i in frames:
path1=path+i
print path1
img=cv2.imread(path1)
s="./output/"+i[:-4]+".png"
print s
cv2.imwrite(s,img)
out.write(img)
out.release()'''
frame = cv.LoadImage(path + "/" + frames[2])
print dir(frame)
fps = 1.0 # so we need to hardcode the FPS
print "Recording at: ", fps, " fps"
frame_size = cv.GetSize(frame)
print "Video size: ", frame_size
CODEC = cv.CV_FOURCC('D', 'I', 'V', '3') # MPEG 4.3
# CODEC = cv.CV_FOURCC('M','P','4','2') # MPEG 4.2
# CODEC = cv.CV_FOURCC('M','J','P','G') # Motion Jpeg
# CODEC = cv.CV_FOURCC('U','2','6','3') # H263
# CODEC = cv.CV_FOURCC('I','2','6','3') # H263I
# CODEC = cv.CV_FOURCC('F','L','V','1') # FLV
CODEC = cv.CV_FOURCC('P', 'I', 'M', '1') # MPEG-1
CODEC = cv.CV_FOURCC('D', 'I', 'V', 'X') # MPEG-4 = MPEG-1
writer = cv.CreateVideoWriter(path + "/out.avi", CODEC, fps, frame_size,
True)
for i in frames:
path1 = path + "/" + i
print path1
img = cv.LoadImage(path1)
cv.WriteFrame(writer, img)
def save_movie(self):
"""
Creates a movie with all faces found in the inputs.
Guy is skipped if no face is found.
:param out_folder: the location where to save the output image.
:type out_folder: string
:param fps: the number of frames per second to be displayed in final video (3)
:type fps: int
"""
speedrate = self.face_params.speed
if "win" in sys.platform:
fourcc = cv.CV_FOURCC('C', 'V', 'I', 'D')
else: # some kind of Linux/Unix platform
fourcc = cv.CV_FOURCC('F', 'M', 'P', '4')
# Corrects frameSize to get a nice video output
frameSize = self.resizes_for_video_codec(
) # Fixme : Put in global parameter
# We have to resize the out_image to make them fit with the desired size
corr_im = cv.CreateImage(frameSize, self.depth, self.nChannels)
#frameSize = (652, 498)
pace = ["slow", "normal", "fast"]
my_video = cv.CreateVideoWriter(self.get_out_file(), fourcc,
self.speed[speedrate], frameSize, 1)
ii = 0
for a_guy in self.guys:
if self.run:
ii += 1
self.notify_progress("Saving frame", ii, self.number_guys())
#self.console_logger.info("Saving frame %d / %d" % (ii, self.number_guys()))
self.my_logger.info("Saving frame %d / %d" %
(ii, self.number_guys()))
out_im = self.prepare_image(a_guy)
cv.Resize(out_im, corr_im, cv.CV_INTER_LINEAR)
cv.WriteFrame(my_video, corr_im)
def __init__(self,
filename,
filename_metadata,
resolution,
fps,
codec,
color=True,
parent=None):
QtCore.QObject.__init__(self, parent)
self.filename_metadata = filename_metadata
self.writer = cv2.VideoWriter(filename, cv.CV_FOURCC(*codec), int(fps),
resolution, color)
def start_video_writer(self):
self.writer = cv.CreateVideoWriter(
self.filename,
cv.CV_FOURCC('D', 'I', 'V', 'X'),
#cv.CV_FOURCC('U','2','6','3'),
#cv.CV_FOURCC('H','2','6','4'),
self.framerate,
self.cv_image_size,
)
if self.writer is None:
raise IOError, 'unable to create video writer'
self.recording = True
def write_video(vid_arr, filename, fps=10, h5input=False, fourcc=None):
"""
Writes video to the specified filename
parameters:
vid_arr: A numpy array, GPUArray or PitchArray representing the video
filename: The output filename
fps: The frame rate of the output video
If not specified, will be set to 10.
h5input: True if vid_arr is a filename of an h5 file containg the video.
If not specified, will be set to False.
fourcc: An integer representing the codec to be used for
the video file. Can be specified using cv.CV_FOURCC.
If not specified, will default to DIVX.
"""
if (not (CV_INSTALLED)):
raise ImportError("Failure to load OpenCV.\n \t " \
"write_video requires: OpenCV\n")
if (h5input):
vid_arr = io.read_file(vid_arr)
else:
if PYCUDA:
if vid_arr.__class__.__name__ in ["GPUArray", "PitchArray"]:
vid_arr = vid_arr.get()
elif vid_arr.__class__.__name__ != "ndarray":
raise TypeError("Write video error: Unknown input type")
elif vid_arr.__class__.__name__ != "ndarray":
raise TypeError("Write video error: Unknown input type")
height = vid_arr.shape[1]
width = vid_arr.shape[2]
if vid_arr.min() < 0:
vid_arr = vid_arr - vid_arr.min()
if vid_arr.max() > 1:
vid_arr = vid_arr / vid_arr.max()
if len(vid_arr.shape) == 3:
temp = vid_arr
vid_arr = np.zeros((temp.shape[0], height, width, 3))
for i in range(3):
vid_arr[:, :, :, i] = 255 * temp[:, :, :]
del temp
vid_arr = vid_arr.astype('uint8')
if fourcc is None:
fourcc = cv.CV_FOURCC('D', 'I', 'V', 'X')
writer = cv.CreateVideoWriter(filename, fourcc, fps, (width, height), 1)
for i in xrange(vid_arr.shape[0]):
cv.WriteFrame(writer, array2cv(vid_arr[i, :, :, :]))
def __init__(self):
# Constants
index = 0
terrain = raw_input("Enter terrain: ")
file_dir = "data"
vid_type = ".avi"
vid_date = datetime.strftime(datetime.now(), "%Y-%m-%d %H:%M:%S")
vid_file = "%s_%s%s" % (vid_date, terrain, vid_type)
vid_path = os.path.join(file_dir, vid_file)
log_type = '.csv'
log_file = "%s %s%s" % (vid_date, terrain, log_type)
log_path = os.path.join(file_dir, log_file)
fps = 25.0
frame_size = (640, 480)
gps_device = "/dev/ttyS0"
gps_baud = 38400
# Initialize Video Capture
try:
self.camera = cv2.VideoCapture(index)
print 'cam initialized'
except:
print 'Cam failed'
# Initialize Video Writer
try:
self.vid_writer = cv2.VideoWriter(vid_path,
cv.CV_FOURCC('M', 'J', 'P', 'G'),
fps, frame_size, True)
print "video initialized"
except:
print 'Video failed'
# Initialize CSV file
try:
self.csvfile = open(log_path, 'w')
except:
print 'CSV failed'
# Initialize GPS
try:
self.lat = 0.0
self.lon = 0.0
self.alt = 0.0
self.speed = 0.0
self.gps = serial.Serial(gps_device, gps_baud)
thread.start_new_thread(self.update_gps, ())
print 'gps initialized'
except Exception as e:
print 'GPS failed %s' % str(e)
def __init__(self,
infile=None,
outfile=None,
fourcc="XVID",
preview=False):
Log.info("opening videoCapture")
if infile:
# capture from input file
self.capture = cv2.VideoCapture(args.infile)
if not self.capture.isOpened():
raise Exception("Could not open input file: %s" % infile)
else:
# capture from default camera
Log.info("connecting to camera")
self.capture = cv2.VideoCapture(0)
self.capture.set(cv.CV_CAP_PROP_FRAME_WIDTH, 340)
self.capture.set(cv.CV_CAP_PROP_FRAME_HEIGHT, 240)
# self.capture.set(cv.CV_CAP_PROP_EXPOSURE, 80)
# self.capture.set(cv.CV_CAP_PROP_CONTRAST, 200)
# self.capture.set(cv.CV_CAP_PROP_FPS, 15)
# self.capture.set(cv.CV_CAP_PROP_BRIGHTNESS, .5)
if not self.capture.isOpened():
raise Exception("Could not connect to camera.")
Log.info("reading test frame")
if not self.captureFrame():
raise Exception("Could not read from video source.")
self.width = np.size(self.currentFrame, 1)
self.height = np.size(self.currentFrame, 0)
Log.info("width: " + str(self.width))
Log.info("height: " + str(self.height))
# clear out test frame
self.frameCount = 0
self.currentFrame = None
if outfile:
Log.info("opening videoWriter")
f = fourcc
fourcc = cv.CV_FOURCC(f[0], f[1], f[2], f[3])
self.writer = cv2.VideoWriter(outfile, fourcc, 10.0,
(self.width, self.height))
else:
self.writer = None
if preview:
cv2.namedWindow("preview", cv2.WINDOW_NORMAL)
self.preview = True
else:
self.preview = False
def generateVideoClip(videoDir="./video/"):
"""
Generate a simple example black and white video clip that can be used
as input to the Camera Toolkit for performing basic experiments.
By default the method is writing a video file consisting of a horizontal
white line against a black background. The line moves from top to
bottom and back again 1 pixel at a time.
The code can be edited by changing the looping parameters on line 46
and what is painted per frame on line 53.
@param videoDir: the directory the video will be created in.
"""
suffix = "Rectangle17.avi" #edit this for different file names
fileName = videoDir+suffix
width = 80 #the Region prefers 80x60 resolution video frames
height = 60
#Create a videoWriter to use to write out the generated video file
#Always use uncompressed YUV codec for universal playback
#method doc: CreateVideoWriter(filename, fourcc, fps, frame_size, is_color)
videoWriter = cv.CreateVideoWriter(fileName, cv.CV_FOURCC('I','Y','U','V'), \
15, (width,height), 0)
#Allocate a PIL image to paint into for each video frame
vidFrame = Image.new('L', (width,height))
print "writing video",fileName
#Each pass in this loop will generate a subsequent video frame
#For a horizontal line, loop from top to bottom, and back again
for x in range(8,width-25):
#for y in xrange(15,height-15):
#for i in range(0,height)+range(height-2,-1,-1):
#fill frame with black, then draw white lines/dots for the frame
draw = ImageDraw.Draw(vidFrame)
draw.rectangle((0,0, width,height), fill="black")
#now that frame is black again, draw a white line in current position
#draw.line((0,i,width,i), fill="white", width=1)
draw.rectangle((x,x, x+17,x+17), outline="white")
#we could do other things here instead, such as drawing points:
#draw.point((x,y), fill="white")
del draw #done performing drawing for this frame
#now convert the PIL image into an OpenCV image and write to video
cvImage = cv.CreateImageHeader(vidFrame.size, cv.IPL_DEPTH_8U, 1)
cv.SetData(cvImage, vidFrame.tostring())
cv.WriteFrame(videoWriter, cvImage)
del videoWriter #close video stream when done to finish file
return suffix #return fileName suffix as indicator of success
def Record_Button_Clicked(self):
if (not self.ui.Record_Button.isFlat()):
self.ui.Record_Button.setText("Parar")
self.ui.Record_Button.setFlat(True)
self._writer = cv.CreateVideoWriter(
filename=("img/" + time.strftime("%H%M%S") + ".avi"),
fourcc=cv.CV_FOURCC('X', 'V', 'I', 'D'),
fps=2,
frame_size=(640, 480),
is_color=1)
else:
self.ui.Record_Button.setText("Gravar")
self.ui.Record_Button.setFlat(False)
cv.ReleaseVideoWriter(self._writer)
def download_and_process_video(save_path, row):
video_id = row['VideoID']
video_path = row['video_path']
full_path = os.path.join(save_path, video_path)
if os.path.exists(full_path):
return
start = row['Start']
end = row['End']
print video_id
if os.path.exists('tmp.mp4'):
os.system('rm tmp.mp4')
try: # 다운로드 포기
youtube = YouTube("https://www.youtube.com/watch?v=" + video_id)
except:
print "다운로드 포기"
return
youtube.set_filename('tmp')
try: # 360p로 받아보고 안되면 예외처리
video = youtube.get('mp4', '360p')
except:
ipdb.set_trace()
video.download('.')
cap = cv2.VideoCapture('tmp.mp4')
fps = cap.get(cv.CV_CAP_PROP_FPS)
fourcc = int(cap.get(cv.CV_FOURCC(*'XVID')))
w = int(cap.get(cv.CV_CAP_PROP_FRAME_WIDTH))
h = int(cap.get(cv.CV_CAP_PROP_FRAME_HEIGHT))
out = cv2.VideoWriter(full_path, fourcc, fps, (w, h))
start_frame = int(fps * start)
end_frame = int(fps * end)
frame_count = 0
while frame_count < end_frame:
ret, frame = cap.read()
frame_count += 1
if frame_count >= start_frame:
out.write(frame)
cap.release()
out.release()
def imageProc(fname):
capture = cv2.VideoCapture(fname)
#initialize variables for HSV limits and blur radius:
blurRad = 5 #image blur radius
#load camera
#print capture.get(cv.CV_CAP_PROP_FPS)
frsize = (int(capture.get(cv.CV_CAP_PROP_FRAME_WIDTH)),
int(capture.get(cv.CV_CAP_PROP_FRAME_HEIGHT)))
vidWriter = cv2.VideoWriter("stabilized.wmv",
cv.CV_FOURCC('M', 'J', 'P', 'G'),
capture.get(cv.CV_CAP_PROP_FPS), frsize)
print vidWriter
first = True
shift = np.array([0, 0])
while True:
ret, img1 = capture.read()
if ret:
#read the camera image:
if first:
first = False
else:
imgNew = cv2.cvtColor(img1, cv2.COLOR_BGR2GRAY)
imgLast = cv2.cvtColor(img2, cv2.COLOR_BGR2GRAY)
#process frames
#perform stabilization
reet = cv2.phaseCorrelate(np.float32(imgNew),
np.float32(imgLast))
#lowpass filter
alpha = 0.33333
shift[0] = alpha * reet[0] + (1 - alpha) * shift[0]
shift[1] = alpha * reet[1] + (1 - alpha) * shift[1]
#shift = reet
#shift the new image
M = np.float32([[1, 0, shift[0]], [0, 1, shift[1]]])
cols, rows = np.size(img1, axis=1), np.size(img1, axis=0)
img3 = cv2.warpAffine(img2, M, (cols, rows))
#export image
vidWriter.write(img3)
img2 = np.copy(img1)
else:
break
if vidWriter.isOpened():
vidWriter.release()
def main():
# source = pyglet.media.load('/media/ioana/Elements/media/_0nX-El-ySo_83_93.avi')
source = pyglet.media.load('./bird.avi')
frame1 = source.get_next_video_frame()
frame2 = source.get_next_video_frame()
frame3 = source.get_next_video_frame()
video_id = 'mv89psg6zh4'
full_path = './test.avi'
start = 33
end = 46
if os.path.exists('tmp.mp4'):
os.system('rm tmp.mp4')
youtube = YouTube("https://www.youtube.com/watch?v=" + video_id)
youtube.set_filename('tmp')
video = youtube.get('mp4', '360p')
video.download('.')
cap = cv2.VideoCapture('tmp.mp4')
fps = cap.get(cv.CV_CAP_PROP_FPS)
fourcc = int(cap.get(cv.CV_FOURCC(*'XVID')))
w = int(cap.get(cv.CV_CAP_PROP_FRAME_WIDTH))
h = int(cap.get(cv.CV_CAP_PROP_FRAME_HEIGHT))
out = cv2.VideoWriter(full_path, fourcc, fps, (w, h))
start_frame = int(fps * start)
end_frame = int(fps * end)
frame_count = 0
while frame_count < end_frame:
ret, frame = cap.read()
frame_count += 1
if frame_count >= start_frame:
out.write(frame)
cap2 = cv2.VideoCapture(full_path)
ret, frame = cap2.read()
if ret is False:
print "ret is False"
else:
print "ret is True"
def convert2othvid(self, string, imgs):
now = datetime.datetime.now()
vid = string + repr(now.month).zfill(2) + repr(
now.day).zfill(2) + repr(now.hour).zfill(2) + repr(
now.minute).zfill(2) + '.avi'
video = cv.CreateVideoWriter(vid, cv.CV_FOURCC('L', 'A', 'G', 'S'),
fps, (512, 424), True)
#st = time.clock()
#pdb.set_trace()
print 'making video .....'
for i in imgs:
bitmap = cv.CreateImageHeader((512, 424), cv.IPL_DEPTH_8U, 3)
cv.SetData(bitmap, i.tostring(), i.dtype.itemsize * 3 * i.shape[1])
cv.WriteFrame(video, bitmap)
#print time.clock()-st
print 'there r total ' + repr(len(fimgs)) + ' frames'
del video
def find_fish(file_name,num_filters,input_file):
finder = FishFinder(file_name,num_filters)
capture_file = cv.CreateFileCapture(input_file)
output_file = get_output_name(input_file)
loop = True
frame = cv.QueryFrame(capture_file)
video_writer = cv.CreateVideoWriter(output_file,cv.CV_FOURCC('P','I','M','1'),27.96,cv.GetSize(frame),1)
while(loop):
if (frame == None): print "no frame"; exit()
#annotated_frame = finder.find_fish(frame)
annotated_frame = finder.get_annotated_image(frame)
cv.WriteFrame(video_writer,annotated_frame)#cvHelper.gray_colour_image(annotated_frame))
frame = cv.QueryFrame(capture_file)
def __init__(self, width, height, source, threshold):
self.width = width
self.height = height
self.threshold = threshold
self.fourcc = cv.CV_FOURCC('M', 'J', 'P', 'G')
self.capture_data = False
self.cap = cv2.VideoCapture(source)
self.cap.set(cv.CV_CAP_PROP_FRAME_WIDTH, 320)
self.cap.set(cv.CV_CAP_PROP_FRAME_HEIGHT, 240)
self.fx = width / 320.0
self.fy = height / 240.0
self.heading = 0.0
if self.capture_data:
self.writer = cv2.VideoWriter('log.avi', self.fourcc, 6,
(self.width, self.height))
def nextFrame(self):
if self.writer == None:
four_cv = cv.CV_FOURCC(self.codec[0], self.codec[1], self.codec[2],
self.codec[3])
self.writer = cv.CreateVideoWriter(self.fn, four_cv, self.fps(),
(self.width(), self.height()),
1)
frame = self.video.fetch(self.channel)
mode = self.video.outputMode(self.channel)
frame = (frame * 255.0).astype(numpy.uint8)
if mode == MODE_RGB:
out = array2cv(frame[:, :, ::-1])
elif mode == MODE_FLOAT:
out = array2cv(frame)
else:
raise Exception('Unsuported mode for WriteCV')
cv.WriteFrame(self.writer, out)
return True
def handle_recording_cmd(self, req):
"""
Handles avi recording commands - starts and stops avi recording.
"""
with self.lock:
if self.cv_image_size is None:
# If we don't have and image yet - we can't get started, return fail.
return RecordingCmdResponse(False)
self.filename = req.filename
self.frame_rate = req.frame_rate
command = req.command.lower()
if command == 'start':
# Get start time and create video writer
self.writer = cv.CreateVideoWriter(
self.filename,
cv.CV_FOURCC('D', 'I', 'V', 'X'),
self.frame_rate,
self.cv_image_size,
)
if self.writer is None:
response = False
else:
response = True
self.start_t = rospy.get_time()
self.frame_count = 0
self.done = False
self.recording_message = 'recording'
elif command == 'stop':
self.done = True
del self.writer
self.writer = None
self.recording_message = 'stopped'
response = True
return RecordingCmdResponse(response)
def make_video(outfile, results, names, colour, thickness):
vw = cv2.VideoWriter(outfile, cv.CV_FOURCC('M','J','P','G'), 15, (640,480), 1)
ri = 0
for d in video_dirs:
for n in xrange(1,6):
vc, _ = open_benchmark(d, n)
fi = 0
while True:
succ, img = vc.read()
if not succ: break
for name in names:
draw_region(img, results[name][ri][fi], colour[name], thickness[name])
cv2.imshow("replay", img)
cv2.waitKey(1)
vw.write(img)
fi += 1
ri += 1
def get_video_writer(cam, video_file='video.avi'):
"""Show video of camera's frame buffer"""
#Define the codec and create VideoWriter object
#CODEC = cv.CV_FOURCC('D','I','V','3') # MPEG 4.3
#CODEC = cv.CV_FOURCC('M','P','4','2') # MPEG 4.2
CODEC = cv.CV_FOURCC('M', 'J', 'P', 'G') # Motion Jpeg
#CODEC = cv.CV_FOURCC('U','2','6','3') # H263
#CODEC = cv.CV_FOURCC('I','2','6','3') # H263I
#CODEC = cv.CV_FOURCC('F','L','V','1') # FLV
#CODEC = cv.CV_FOURCC('P','I','M','1') # MPEG-1
#CODEC = cv.CV_FOURCC('D','I','V','X') # MPEG-4 = MPEG-1
#CODEC=-1
# Initialize the video writer to write the file
writer = cv2.VideoWriter(
video_file, # Filename
CODEC, # Codec for compression
cam.frame_rate, # Frames per second
cam.frame_resolution, # Width / Height tuple
False # Color flag
)
return writer
def run(self, start=0):
cv2.namedWindow("vis")
cv2.setMouseCallback("vis", self.click_handler)
if self.output_file != None:
vw = cv2.VideoWriter(self.output_file,
cv.CV_FOURCC('M', 'J', 'P', 'G'), 15,
(800, 600), 1)
active_trackers = []
self.time = start
while self.time < len(self.images):
if not self.paused:
img = self.images[self.time]
gray_img = to_grayscale(img)
to_remove = []
for (t, end_time) in active_trackers:
if end_time == self.time: to_remove.append((t, end_time))
else: t.update(gray_img)
for e in to_remove:
active_trackers.remove(e)
for s in self.schedule:
if s.start_time == self.time:
tracker = self.tracker_maker()
tracker.initialize(gray_img, s.region)
active_trackers.append((tracker, s.end_time))
self.time += 1
annotated_img = img.copy()
for (t, end_time) in active_trackers:
draw_region(annotated_img, t.get_region(), (0, 255, 0), 2)
cv2.imshow("vis", annotated_img)
if self.output_file != None: vw.write(annotated_img)
cv2.waitKey(1)
cv2.destroyAllWindows()
def convert2vid(self, bdjoints):
import datetime
now = datetime.datetime.now()
vid = 'kinect' + repr(now.month).zfill(2) + repr(
now.day).zfill(2) + repr(now.hour).zfill(2) + repr(
now.minute).zfill(2) + '.avi'
video = cv.CreateVideoWriter(vid, cv.CV_FOURCC('L', 'A', 'G', 'S'),
fps, (1920, 1080), True)
#st = time.clock()
#pdb.set_trace()
print 'making video .....'
for i in fimgs:
bitmap = cv.CreateImageHeader((1920, 1080), cv.IPL_DEPTH_8U, 3)
cv.SetData(bitmap, i.tostring(), i.dtype.itemsize * 3 * i.shape[1])
cv.WriteFrame(video, bitmap)
#print time.clock()-st
print 'there r total ' + repr(len(fimgs)) + ' frames'
del video
cPickle.dump(
bdjoints,
file(
'bodyjoints' + repr(now.month).zfill(2) +
repr(now.day).zfill(2) + repr(now.hour).zfill(2) +
repr(now.minute).zfill(2) + '.pkl', 'wb'))