class CustomStream:
def __init__(self, src=0, use_cv2=False):
if use_cv2:
self.obj = cv2.VideoCapture(src)
elif src == 0:
self.obj = WebcamVideoStream(src)
elif src != 0:
self.obj = FileVideoStream(src)
def isOpened(self):
if isinstance(self.obj, cv2.VideoCapture):
return self.obj.isOpened()
return self.obj.stream.isOpened()
def start(self):
self.obj.start()
return self
def update(self):
self.obj.update()
def read(self):
if isinstance(self.obj, cv2.VideoCapture):
return self.obj.read()
return not self.obj.stopped, self.obj.read()
def stop(self):
self.obj.stop()
if isinstance(self.obj, cv2.VideoCapture):
self.obj.release()
else:
self.obj.stream.release()
def set(self, propId, value):
if isinstance(self.obj, cv2.VideoCapture):
self.obj.set(propId, value)
return
self.obj.stream.set(propId, value)
def get(self, propId):
if isinstance(self.obj, cv2.VideoCapture):
self.obj.get(propId)
return
return self.obj.stream.get(propId)
def fry_gif(update, url, number_of_cycles, args):
number_of_emojis = 1.5 if args['high-fat'] else 1 if args['low-fat'] else 0
bulge_probability = 0.3 if args['heavy'] else 0.15 if args['light'] else 0
magnitude = 4 if args['deep'] else 1 if args['shallow'] else 2
name = update.message.from_user.first_name
filename = '%s_%s_%s' % (update.message.chat_id, name,
update.message.message_id)
filepath = bin_path + '/temp/' + filename
caption = __get_caption(name, number_of_cycles, args)
output = bin_path + '/temp/out_' + filename + '.mp4'
gifbio = BytesIO()
gifbio.name = filename + '.gif'
fs = [__posterize, __sharpen, __increase_contrast, __colorize]
shuffle(fs)
if not __download_gif(url, filepath):
return
fvs = FileVideoStream(filepath + '.mp4').start()
frame = fvs.read()
height, width, _ = frame.shape
try:
fps = fvs.get(CAP_PROP_FPS)
except:
fps = 30
out = VideoWriter(output, VideoWriter_fourcc(*'mp4v'), fps,
(width, height))
out.write(
fry_frame(frame, number_of_cycles, fs, number_of_emojis,
bulge_probability, magnitude, args))
while fvs.more() or fvs.more():
try:
temp = fry_frame(fvs.read(), number_of_cycles, fs,
number_of_emojis, bulge_probability, magnitude,
args)
except Exception as e:
break
out.write(temp)
fvs.stop()
fvs.stream.release()
out.release()
update.message.reply_animation(open(output, 'rb'),
caption=caption,
quote=True)
try:
__upload_to_imgur(output, caption)
except (Exception, BaseException) as e:
print(e)
remove(filepath + '.mp4')
def fry_gif(update, url, number_of_cycles, args):
log_debug('Starting GIF Fry')
number_of_emojis = (1.5
if args['high-fat'] else 1 if args['low-fat'] else 0)
bulge_probability = (0.3
if args['heavy'] else 0.15 if args['light'] else 0)
magnitude = (4 if args['deep'] else 1 if args['shallow'] else 2)
name = update.message.from_user.first_name
filename = '%s_%s_%s' % (update.message.chat_id, name,
update.message.message_id)
filepath = f'{bin_path}/temp/{filename}'
caption = __get_caption(name, number_of_cycles, args)
output = f'{bin_path}/temp/out_{filename}.mp4'
gif_bio = BytesIO()
gif_bio.name = f'{filename}.gif'
if not __download_gif(url, filepath):
log_error('GIF download failed')
return
log_debug('GIF successfully downloaded')
fvs = FileVideoStream(f'{filepath}.mp4').start()
frame = fvs.read()
height, width, _ = frame.shape
try:
fps = fvs.get(CAP_PROP_FPS)
log_debug(f'Detected FPS: {fps}')
except:
log_warn('FPS Detection failed, defaulting to 30.')
fps = 30
out = VideoWriter(output, VideoWriter_fourcc(*'mp4v'), fps,
(width, height))
fs = [__posterize, __sharpen, __increase_contrast, __colorize]
shuffle(fs)
log_debug(f'Frying first frame')
out.write(
fry_frame(frame, number_of_cycles, fs, number_of_emojis,
bulge_probability, magnitude, args))
i = 2
while fvs.more() or fvs.more():
try:
log_debug(f'Frying frame {i}')
temp = fry_frame(fvs.read(), number_of_cycles, fs,
number_of_emojis, bulge_probability, magnitude,
args)
out.write(temp)
log_debug(f'Frame {i} fried successfully')
i += 1
except Exception:
log_error(f'Encountered error while frying frame {i}')
break
log_debug(f'All frames fried.')
fvs.stop()
fvs.stream.release()
out.release()
update.message.reply_animation(open(output, 'rb'),
caption=caption,
quote=True)
log_debug(f'GIF saved and replied')
try:
__upload_to_imgur(output, caption)
except (Exception, BaseException) as e:
print(e)
try:
remove(f'{filepath}.mp4')
except:
pass
log_debug('Image frying process completed')
print("[INFO] loading YOLO from disk...")
net = cv2.dnn.readNetFromDarknet(configPath, weightsPath)
ln = net.getLayerNames()
ln = [ln[i[0] - 1] for i in net.getUnconnectedOutLayers()]
# initialize the video stream, pointer to output video file, and
# frame dimensions
#fvs = cv2.VideoCapture(args["input"])
writer = None
(W, H) = (None, None)
# try to determine the total number of frames in the video file
try:
prop = cv2.cv.CV_CAP_PROP_FRAME_COUNT if imutils.is_cv2() \
else cv2.CAP_PROP_FRAME_COUNT
total = int(fvs.get(prop))
print("[INFO] {} total frames in video".format(total))
# an error occurred while trying to determine the total
# number of frames in the video file
except:
print("[INFO] could not determine # of frames in video")
print("[INFO] no approx. completion time can be provided")
total = -1
# loop over frames from the video file stream
while fvs.more():
# read the next frame from the file
frame = fvs.read()
# if the frame was not grabbed, then we have reached the end
