Let me start analyzing the code step-by-step.
img = cv2.VideoCapture('photos' + sep + 'Baslksz-3.mp4')
The above code look fine, but it would be better if you give as a string name
video_name = 'photos' + sep + 'Baslksz-3.mp4'
img = cv2.VideoCapture(video_name)
# Get Image dimensions
width = img.set(cv2.CAP_PROP_FRAME_WIDTH, 150) # float `width`
height = img.set(cv2.CAP_PROP_FRAME_HEIGHT, 150)
Now what are width and height variables?
# Get Image dimensions
width = img.set(cv2.CAP_PROP_FRAME_WIDTH, 150) # float `width`
height = img.set(cv2.CAP_PROP_FRAME_HEIGHT, 150)
print(width)
print(height)
Result is:
False
False
It seems you want to set width and height to the dimension (150, 150). It would be better if you initialize them separately
# Get Image dimensions
img.set(cv2.CAP_PROP_FRAME_WIDTH, 150) # float `width`
img.set(cv2.CAP_PROP_FRAME_HEIGHT, 150)
width = 150
height = 150
# Start Capture
cap = cv2.VideoCapture(0)
cap = cv2.VideoCapture(0 + cv2.CAP_DSHOW)
cap.set(cv2.CAP_PROP_FRAME_WIDTH, 1920)
cap.set(cv2.CAP_PROP_FRAME_HEIGHT, 1080)
cap.set(cv2.CAP_PROP_FPS, 30)
Why do you initialize cap variable two-times?
frame_vid = img.read()
Why do you initialize frame_vid you did not use anywhere in the code?
while (True):
# Capture frame-by-frame
ret, frame = cap.read()
frame[y:y + width, x:x + height] = img
The above code is not making any sense, you want to display your video as long as your webcam open. You also did not check whether the current webcam frame returns or not. You also set VideoCapture variable to the array?
while cap.isOpened():
# Capture frame-by-frame
ret, frame = cap.read()
Now you are getting frames, as long as your webcam is open, then you need to check whether the webcam frame returns. If the webcam frame returns then you need to start reading the video frames. If the video frame returns successfully resize the video frame to (width, height) then set it to the frame.
while cap.isOpened():
# Capture frame-by-frame
ret, frame = cap.read()
if ret:
ret_video, frame_video = img.read()
if ret_video:
# add image to frame
frame_video = cv2.resize(frame_video, (width, height))
frame[y:y + width, x:x + height] = frame_video
Make sure close img variable after the execution.
img.release()
cap.release()
cv2.destroyAllWindows()
Please change img variable to something that makes sense. Like rename the img variable to video_capture and cap to the webcam_capture.
When video stops then webcam stacks. But I want to continue infinitive. and video should start again. But video does not starts from beggining.and webcam freezes
Update
This issue was mentioned in the Playback loop option in OpenCV videos
If you look at the answer, the problem was solved by counting the video frames. When video frames equal to the capture frame count (CAP_PROP_FRAME_COUNT) set to counter and CAP_PROP_FRAME_COUNT to 0.
First initialize the frame counter.
video_frame_counter = 0
and when webcam opens, get the frame. If frame returns, increase the counter by 1.
while cap.isOpened():
# Capture frame-by-frame
ret, frame = cap.read()
if ret:
ret_video, frame_video = img.read()
video_frame_counter += 1
If counter equals to the capture class frame count, then initialize both variable to 0.
if video_frame_counter == img.get(cv2.CAP_PROP_FRAME_COUNT):
video_frame_counter = 0
img.set(cv2.CAP_PROP_POS_FRAMES, 0)
Code:
from os.path import sep
import cv2 as cv2
# load the overlay image. size should be smaller than video frame size
# img = cv2.VideoCapture('photos' + sep + 'Baslksz-3.mp4')
video_name = 'photos' + sep + 'Baslksz-3.mp4'
img = cv2.VideoCapture(video_name)
# Get Image dimensions
img.set(cv2.CAP_PROP_FRAME_WIDTH, 150) # float `width`
img.set(cv2.CAP_PROP_FRAME_HEIGHT, 150)
width = 150
height = 150
# Start Capture
cap = cv2.VideoCapture(0)
# cap = cv2.VideoCapture(0 + cv2.CAP_DSHOW)
cap.set(cv2.CAP_PROP_FRAME_WIDTH, 1920)
cap.set(cv2.CAP_PROP_FRAME_HEIGHT, 1080)
cap.set(cv2.CAP_PROP_FPS, 30)
# frame_vid = img.read()
# Decide X,Y location of overlay image inside video frame.
# following should be valid:
# * image dimensions must be smaller than frame dimensions
# * x+img_width <= frame_width
# * y+img_height <= frame_height
# otherwise you can resize image as part of your code if required
x = 50
y = 50
video_frame_counter = 0
while cap.isOpened():
# Capture frame-by-frame
ret, frame = cap.read()
if ret:
ret_video, frame_video = img.read()
video_frame_counter += 1
if video_frame_counter == img.get(cv2.CAP_PROP_FRAME_COUNT):
video_frame_counter = 0
img.set(cv2.CAP_PROP_POS_FRAMES, 0)
if ret_video:
# add image to frame
frame_video = cv2.resize(frame_video, (width, height))
frame[y:y + width, x:x + height] = frame_video
'''
tr = 0.3 # transparency between 0-1, show camera if 0
frame = ((1-tr) * frame.astype(np.float) + tr * frame_vid.astype(np.float)).astype(np.uint8)
'''
# Display the resulting frame
cv2.imshow('frame', frame)
# Exit if ESC key is pressed
if cv2.waitKey(1) & 0xFF == 27:
break
img.release()
cap.release()
cv2.destroyAllWindows()
