Erstmal der Error :
Code: Alles auswählen
py", line 125, in board_area
gray = cv2.cvtColor(roi_board, cv2.COLOR_BGR2GRAY)
cv2.error: OpenCV(4.1.0) /io/opencv/modules/imgproc/src/color.cpp:182: error: (-215:Assertion failed) !_src.empty() in function 'cvtColor'Code: Alles auswählen
from .media_file import MediaFile
import openshot
import numpy as np
import cv2
class BoardVideo(MediaFile):
"""
This class contains the video
"""
def __init__(self, file_path):
self.__file_path = file_path
self.background = None
self.accumulated_weight = 0.5
self.visualiser_time = []
self.blackboard_time = []
self.subvideos = []
self.roi_visualiser_top = 250
self.roi_visualiser_bottom = 600
self.roi_visualiser_right = 800
self.roi_visualiser_left = 1000
self.roi_board_top = 260
self.roi_board_bottom = 140
self.roi_board_right = 150
self.roi_board_left = 750
def get(self):
return self.__file_path
def calc_accum_avg(self, frame, accumulated_weight):
self.background
if self.background is None:
self.background = frame.copy().astype("float")
return None
cv2.accumulateWeighted(frame, background, self.accumulated_weight)
def segment(self, frame, threshold=50):
self.background
diff = cv2.absdiff(self.background.astype("uint8"),frame)
_, thresholded = cv2.threshold(diff, threshold, 255, cv2.THRESH_BINARY)
contours, hierarchy = cv2.findContours(thresholded.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
if len(contours) == 0:
return None
else:
move_segment = max(contours, key = cv2.contourArea)
return (thresholded, move_segment)
def visualiser_area(self):
video = self.__file_path
video = cv2.VideoCapture(str(video))
#length = int(video.get(cv2.CAP_PROP_FRAME_COUNT))
num_frames = 0
fgbg = cv2.createBackgroundSubtractorMOG2()
while True:
ret,frame = video.read()
if frame is None:
return
roi_visualiser = frame[self.roi_visualiser_top:self.roi_visualiser_bottom,self.roi_visualiser_right:self.roi_visualiser_left]
fgmask = fgbg.apply(roi_visualiser)
gray = cv2.cvtColor(roi_visualiser, cv2.COLOR_BGR2GRAY)
gray = cv2.GaussianBlur(gray, (9,9), 0)
#gray = cv2.Canny(gray, 300, 550, 3)
if num_frames < 1:
self.calc_accum_avg(gray, self.accumulated_weight)
else:
visualiser = self.segment(gray)
if visualiser is not None:
thresholded, move_segment = visualiser
milli = video.get(cv2.CAP_PROP_POS_MSEC)
time = milli/1000
self.visualiser_time.append(time)
elif visualiser is None:
if not self.visualiser_time:
pass
else:
number = 0
start = self.visualiser_time[0]
end = self.visualiser_time[-1]
clip = openshot.Clip(str(number))
clip.Start(start)
clip.End(end)
self.subvideos.append(clip)
self.visualiser_time.clear()
number += 1
num_frames += 1
#print(self.subvideos)
video.release()
cv2.destroyAllWindows()
def board_area(self):
video = self.__file_path
video = cv2.VideoCapture(str(video))
length = int(video.get(cv2.CAP_PROP_FRAME_COUNT))
num_frames = 0
fgbg = cv2.createBackgroundSubtractorMOG2()
while True:
ret,frame = video.read()
if frame is None:
return
roi_board = frame[self.roi_board_top:self.roi_board_bottom,self.roi_board_right:self.roi_board_left]
fgmask = fgbg.apply(roi_board)
gray = cv2.cvtColor(roi_board, cv2.COLOR_BGR2GRAY)
gray = cv2.GaussianBlur(gray, (9,9), 0)
if num_frames < 1:
self.calc_accum_avg(gray, self.accumulated_weight)
else:
board = self.segment(gray)
if board is not None:
thresholded, move_segment = board
milli = video.get(cv2.CAP_PROP_POS_MSEC)
time = milli/1000
self.board_time.append(time)
elif board is None:
if not self.board_time:
pass
else:
number = 0
start = self.board_time[0]
end = self.board_time[-1]
clip = openshot.Clip("a" + str(number))
clip.Start(start)
clip.End(end)
self.subvideos.append(clip)
self.board_time.clear()
number += 1
num_frames += 1
video.release()
cv2.destroyAllWindows()
Ziel ist es in einem Video zu erfassen wenn in 2 Bereichen eine Bewegung (ausgenommen Schatten) statt findet.
Dann wird wenn es eine Bewegung gibt von bis ein Clip erstellt und dieser in einer Liste gespeichert.
MfG Felix
