def GetFrames(fileName, redFact=0.5, skipLength=1, debug=False):
'''
returns numpy array of frames
'''
cap = VideoCapture(fileName)
cap.open()
frameList = []
cnt = -1
if debug:
print "Started creating Frame List"
while True:
retval, image = cap.read()
cnt = (cnt + 1) % skipLength
if (cnt != 0):
continue
if not retval:
break
image = cv2.resize(image, None, fx=redFact, fy=redFact)
image = image[:, :, ::-1]
image = np.array(image, dtype=np.uint8)
frameList.append(image)
cap.release()
if debug:
print "Finished creating Frame List"
frameList = np.array(frameList)
return frameList
def PlayVideo(fileName, redFact=0.5):
'''
Plays video using opencv functions
Press 'q' to stop in between
returns None
'''
cap = VideoCapture(fileName)
cap.open()
while True:
retval, image = cap.read()
print len(image), len(image[0])
if not retval:
break
image = cv2.resize(image, None, fx=redFact, fy=redFact)
image = image[:, :, ::-1]
cv2.imshow('frame', image)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
cap.release()
cv2.destroyAllWindows()
def test_on_video(net, vid_fn, out_fn):
# capture
cap = VideoCapture(vid_fn)
ret, img = cap.read()
# writer
orig_shape = (227, 227) # img.shape
wri = VideoWriter(out_fn, frameSize=(orig_shape[1], orig_shape[0]))
wri.open()
frame = 0
while cap.isOpened():
ret, img = cap.read()
if ret:
img = draw_joints(img, net)
# img = cv.resize(img, (orig_shape[1], orig_shape[0]))
wri.write(img)
frame += 1
print frame
else:
print 'finished'
break
cap.release()
wri.release()
from skvideo.io import VideoCapture
import sys
import matplotlib.pyplot as plt
import matplotlib.animation as animation
filename = sys.argv[1]
cap = VideoCapture(filename)
print(str(cap.get_info()))
cap.open()
retval, image = cap.read()
plt_fig = plt.figure()
plt_image = plt.imshow(image)
frame_num = 0
def updatefig(*args):
global cap, frame_num
retval, image = cap.read()
if not retval:
print("done")
sys.exit()
print("frame %d" % (frame_num))
frame_num += 1
from __future__ import print_function
from __future__ import division
from skvideo.io import VideoCapture
from skvideo.metrics import ssim, psnr, vifp
import sys
import json
filename1, filename2 = sys.argv[1], sys.argv[2]
cap1 = VideoCapture(filename1)
cap1.open()
print(str(cap1.get_info()))
cap2 = VideoCapture(filename2)
cap2.open()
print(str(cap2.get_info()))
def rgb_to_y(img):
return 0.299 * img[:,:,0] + 0.587 * img[:,:,1] + 0.114 * img[:,:,2]
frame_num = 0
while True:
retval1, image1 = cap1.read()
retval2, image2 = cap2.read()
if not retval1 and not retval2:
break
elif not retval1 or not retval2:
print("error: input files have different number of frames")
break
from __future__ import print_function
from __future__ import division
from skvideo.io import VideoCapture, VideoWriter
import sys
cap_filename, wr_filename = sys.argv[1], sys.argv[2]
cap = VideoCapture(cap_filename)
cap.open()
print(str(cap.get_info()))
retval, image = cap.read()
wr = VideoWriter(wr_filename, 'H264', 30, (image.shape[1], image.shape[0]))
wr.open()
frame_num = 0
while True:
retval, image = cap.read()
if not retval:
break
wr.write(image)
print("frame %d" % (frame_num))
frame_num += 1
wr.release()
cap.release()
print("done")
# from https://stackoverflow.com/questions/44309437/python-store-video-as-hdf5-results-in-large-file-size
ABANDONED
import h5py
from skvideo.io import VideoCapture
frames = []
cap = VideoCapture(
'C:/Users/rldun/Videos/20180925_RLD/10fps about 3p2 aperture, upside down, autoexpos, uncompressed/tierpsy/002 light block on-09252018144815-0000.avi'
)
cap.open()
it = 0
while True:
retval, image = cap.read()
if image != None:
frames.append(image)
it += 1
if (it % 500 == 0):
print('Processed %d frames so far' % (it))
if not retval:
break
with h5py.File('C:/Users/rldun/Desktop/test.hdf5', 'w') as h5File:
h5File.create_dataset('camera1',
data=frames,
compression='gzip',
compression_opts=9)
# Initialize your dataset with the first image:
myDataSet = myFile.create_dataset('someName',
# Define the memory graph
mem = GraphMemory(128)
# Open Video
if validators.url(args.file):
from pytube import YouTube
print('Downloading...')
yt = YouTube(args.file).streams.first()
f = yt.default_filename
if not os.path.exists(f):
yt.download()
print('f:', f)
else:
f = args.file
cap = VideoCapture(f)
cap.open()
f1, ax1 = plt.subplots(1, 3)
# f2, ax2 = plt.subplots(2, 1)
f3, ax3 = plt.subplots(2, 1)
plt.ion()
image_buffer = [0] * args.buffsz
buffer = None
FPS = 0
t_buffer_start = timeit.default_timer()
bufferidx = 0
