I'm using OpenCV and Python to take images. However currently I can only take one picture at a time. I would like to have OpenCV to take multiple pictures. This is my current code.
import cv2.cv as cv
import time
cv.NamedWindow("camera", 1)
capture = cv.CaptureFromCAM(0)
while True:
img = cv.QueryFrame(capture)
cv.ShowImage("camera", img)
cv.SaveImage('pic.jpg', img)
if cv.WaitKey(10) == 27:
break
Your code overwrite a file. Save to different file each time.
For example:
import cv2.cv as cv
import time
cv.NamedWindow("camera", 1)
capture = cv.CaptureFromCAM(0)
i = 0
while True:
img = cv.QueryFrame(capture)
cv.ShowImage("camera", img)
cv.SaveImage('pic{:>05}.jpg'.format(i), img)
if cv.WaitKey(10) == 27:
break
i += 1
A minimal example of what you'd like to do, based on the c++ binded interface.
import cv2
cpt = 0
maxFrames = 5 # if you want 5 frames only.
try:
vidStream = cv2.VideoCapture(0) # index of your camera
except:
print "problem opening input stream"
sys.exit(1)
while cpt < maxFrames:
ret, frame = vidStream.read() # read frame and return code.
if not ret: # if return code is bad, abort.
sys.exit(0)
cv2.imshow("test window", frame) # show image in window
cv2.imwrite("image%04i.jpg" %cpt, frame)
cpt += 1
A full example of script, able to read from a camera index, or a file. Includes some failsafes and some information about read device.
usage: record.py [source] [target folder]
#!/usr/bin/env python
import cv2
import sys
import os
cpt = 0
maxFrames = 30
try:
targetDir = sys.argv[2]
except:
targetDir = "" # if no argument, then use current directory
try: # read input. eval if to transform video index to int
vidStream = cv2.VideoCapture(eval(sys.argv[1]))
except:
print "problem opening input stream"
sys.exit(1)
if not vidStream.isOpened():
print "capture stream not open"
sys.exit(1)
# informations in case the input is a video file.
nFrames = vidStream.get(cv2.cv.CV_CAP_PROP_FRAME_COUNT)
print "frame number: %s" %nFrames
fps = vidStream.get(cv2.cv.CV_CAP_PROP_FPS)
print "FPS value: %s" %fps
# note that we could use frame number here, or "while 1"
# so we could read from a live written file or capture devide.
while cpt < maxFrames:
ret, frame = vidStream.read() # read frame and return code.
if not ret:
print "end of stream"
sys.exit(0)
cv2.imshow("test window", frame) # show image in window
cv2.imwrite(os.path.join(targetDir, "image_%04i.jpg" %cpt), frame)
cpt += 1
keyPressed = cv2.waitKey(1) # time to wait between frames
if keyPressed != -1: # if user pressed a key, stop recording.
sys.exit(0)
change the name of the image to be saved to " [image name] [a number which increase after every loop] "
By doing this your image will be stored with a new name after every loop.. otherwise all the images will overwrite the same name !
import cv2.cv as cv
import time
cv.NamedWindow("camera", 1)
capture = cv.CaptureFromCAM(0)
num = 0
while True:
img = cv.QueryFrame(capture)
cv.ShowImage("camera", img)
cv.SaveImage('pic'+str(num)+'.jpg', img)
if cv.WaitKey(10) == 27:
break
num += 1
now your images will be saved as pic0.jpg, pic1.jpg, pic2.jpg and so on..
i think this wil helpful...
import cv2
vid = cv2.VideoCapture("video.mp4")
d = 0
ret, frame = vid.read()
while ret:
ret, frame = vid.read()
filename = "images/file_%d.jpg"%d
cv2.imwrite(filename, frame)
d+=1
this will save every frame with different name.
Related
I'm using the below code to capture images from webcam. But i need only some no.of images to be captured on click.
# Opens the inbuilt camera of laptop to capture video.
cap = cv2.VideoCapture(0)
i = 0
while(cap.isOpened()):
ret, frame = cap.read()
# This condition prevents from infinite looping
# incase video ends.
if ret == False:
break
# Save Frame by Frame into disk using imwrite method
cv2.imwrite('Frame'+str(i)+'.jpg', frame)
i += 1
cap.release()
cv2.destroyAllWindows()```
Assuming you want 500 images add this:
...
i+=1
if (i+1)%500==0:
break
that would be easy. you can use k = cv2.waitKey(1) and check what button was pressed. here is a simple example:
import cv2
def main():
cap = cv2.VideoCapture(0)
if not cap.isOpened(): # Check if the web cam is opened correctly
print("failed to open cam")
return -1
else:
print('webcam open')
for i in range(10 ** 10):
success, cv_frame = cap.read()
if not success:
print('failed to capture frame on iter {}'.format(i))
break
cv2.imshow('click t to save image and q to finish', cv_frame)
k = cv2.waitKey(1)
if k == ord('q'):
print('q was pressed - finishing...')
break
elif k == ord('t'):
print('t was pressed - saving image {}...'.format(i))
image_path = 'Frame_{}.jpg'.format(i) # i recommend a folder and not to save locally to avoid the mess
cv2.imwrite(image_path, cv_frame)
cap.release()
cv2.destroyAllWindows()
return
if __name__ == '__main__':
main()
I want to break my video into frames.
I am using the following code:
import cv2
import numpy as np
import os
# Playing video from file:
cap = cv2.VideoCapture('myvideo.mp4')
cap.set(cv2.CAP_PROP_FPS, 5)
try:
if not os.path.exists('data'):
os.makedirs('data')
except OSError:
print ('Error: Creating directory of data')
currentFrame = 0
while(True):
# Capture frame-by-frame
ret, frame = cap.read()
# Saves image of the current frame in jpg file
name = './data/frame' + str(currentFrame) + '.jpg'
print ('Creating...' + name)
cv2.imwrite(name, frame)
# To stop duplicate images
currentFrame += 1
if not ret: break
# When everything done, release the capture
cap.release()
cv2.destroyAllWindows()
I have set the FPS = 5 and 'myvideo.mp4' is 0:55 sec long. So, I'd expect to have 55*5 = 275 frames, but the code above gives me a lot more frames and it doesn't stop generating frames. Is something wrong in the code?
if you want a proper framerate you can do
framerate = vid.get(5)
instead of
cap.set(cv2.CAP_PROP_FPS, 5)
this will give you the exact framerate
I have following code which reads frames from video file and stores as jpg. The code works fine if I read frames from camera directly but for video file it doesn't read the frames.
cap = cv2.VideoCapture('C:/Users/lostpanda.mp4')
#cap = cv2.VideoCapture(0)
count = 0
while cap.isOpened():
ret,frame = cap.read()
print(ret,frame)
cv2.imshow('window-name', frame)
name = 'C:/Users/video_testing/video-frames/' + str(count) + '.jpg'
#cv2.imwrite("frame%d.jpg" % count, frame)
cv2.imwrite(name,frame)
count = count + 1
if cv2.waitKey(10) & 0xFF == ord('q'):
break
Thanks
You can try this instead:
import cv2
import os
# Read the video from specified path
cam =cv2.VideoCapture(r"C:/Users/lostpanda.mp4")
try:
# creating a folder named data
if not os.path.exists('video-frames'):
os.makedirs('video-frames')
# if not created then raise error
except OSError:
print ('Error: Creating directory of data')
# frame
currentframe = 0
while(True):
# reading from frame
ret,frame = cam.read()
if ret:
# if video remains continue creating images
name = './video-frames/frame' + str(currentframe)+ '.jpg'
print ('Creating...' + name)
# write extracted images
cv2.imwrite(name, frame)
#Counter to show number of frames that are being created
currentframe += 1
else:
break
# Release all space and windows once done
cam.release()
cv2.destroyAllWindows()
import numpy as np
import cv2
from hikvisionapi import Client
cap = cv2.VideoCapture()
#cap.open("rtsp://admin:DocoutBolivia#192.168.1.64:554/h264/ch0/sub")
cap.open("rtsp://admin:DocoutBolivia#192.168.1.64:554/Streaming/Channels/102/")
#cam = Client('http://192.168.1.64', 'admin', 'DocoutBolivia')
#rtsp://admin:password#192.168.1.64/h264/ch1/sub/
#response = cam.System.deviceInfo(method='get')
ret, frame = cap.read()
cv2.imwrite("holo.jpg", frame)
while(True):
# Capture frame-by-frame
ret, frame = cap.read()
# Our operations on the frame come here
# Display the resulting frame
cv2.imshow('frame',frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
# When everything done, release the capture
cap.release()
cv2.destroyAllWindows()
I have this code and it's connecting and showing well but it really slow there's another way for doing this? and have a bit less of delay? I want to make face recognition with my HikVision IP camera
Trying to load the steam directly with Python will not get you anywhere.
The only way to get extremely low lantency is to make use of the .dll or .so files from the SDK provided by HikVision, and use ctypes to call the internal functions.
Below is a simple example I made before to access the NET_DVR_PTZControl_Other. It is a lot of work if you want to develop your own application with their SDK. I'd suggest you to request a sample python application from your vendor.
For example,
import os, ctypes
import cv2
def add_dll(path, dll_list):
files = os.listdir(path)
for file in files:
if not os.path.isdir(path + file):
if file.endswith(".dll"):
dll_list.append(path + file)
else:
add_dll(path + file + "/", dll_list)
def callCpp(func_name, *args):
for so_lib in so_list:
try:
lib = ctypes.cdll.LoadLibrary(so_lib)
try:
value = eval("lib.%s" % func_name)(*args)
print("Success：" + str(value))
return value
except:
continue
except:
print("Fail：" + so_lib)
continue
return False
def NET_DVR_PTZControl_Other(lUserID, lChannel, dwPTZCommand, dwStop):
res = callCpp("NET_DVR_PTZControl_Other", lUserID, lChannel, dwPTZCommand, dwStop)
if res:
print("Control Success")
else:
print("Control Fail: " + str(callCpp("NET_DVR_GetLastError")))
Get Steam Example
class NET_DVR_JPEGPARA(ctypes.Structure):
_fields_ = [
("wPicSize", ctypes.c_ushort), # WORD
("wPicQuality", ctypes.c_ushort)] # WORD
def NET_DVR_CaptureJPEGPicture():
sJpegPicFileName = bytes("pytest.jpg", "ascii")
lpJpegPara = NET_DVR_JPEGPARA()
lpJpegPara.wPicSize = 2
lpJpegPara.wPicQuality = 1
res = callCpp("NET_DVR_CaptureJPEGPicture", lUserID, lChannel, ctypes.byref(lpJpegPara), sJpegPicFileName)
if res == False:
error_info = callCpp("NET_DVR_GetLastError")
print("Success：" + str(error_info))
else:
print("Grab stream fail")
I have a RaspberryPi, a few IP camera's and I would like to get a fresh image from all these camera's every 5 minutes. I have the following script, which open the RTSP feed af grabs images ALL THE TIME, talking 10-25 every second it runs.
Is there a way to open the videofeed an take only 1 image?
import cv2
import time
cap = cv2.VideoCapture('rtsp://192.168.86.81:554/11') # it can be rtsp or http $
ret, frame = cap.read()
while ret:
cv2.imwrite('images/{}.jpg'.format(time.time()), frame)
ret, frame = cap.read()
This solved my problem. I removed time as I do not need this. I will let the aboce code stand in case anybody would want to play around with this
import cv2
cap = cv2.VideoCapture('rtsp://192.168.86.81:554/11') # it can be rtsp or http stream
ret, frame = cap.read()
if cap.isOpened():
_,frame = cap.read()
cap.release() #releasing camera immediately after capturing picture
if _ and frame is not None:
cv2.imwrite('images/latest.jpg', frame)
import cv2
import time
from datetime import datetime
import getpass
#imagesFolder = "C:/Users/<user>/documents"
# https://stackoverflow.com/questions/842059/is-there-a-portable-way-to-get-the-current-username-in-python
imagesFolder = "C:/Users/" + getpass.getuser() + "/documents"
#cap = cv2.VideoCapture("rtsp://192.168.86.81:554/11")
# Use public RTSP Streaming for testing, but I am getting black frames!
cap = cv2.VideoCapture("rtsp://192.168.86.81:554/11")
frameRate = cap.get(5) #frame rate
count = 0
while cap.isOpened():
start_time = time.time()
frameId = cap.get(1) # current frame number
ret, frame = cap.read()
if (ret != True):
break
filename = imagesFolder + "/image_" + str(datetime.now().strftime("%d-%m-%Y_%I-%M-%S_%p")) + ".jpg"
cv2.imwrite(filename, frame)
# Show frame for testing
cv2.imshow('frame', frame)
cv2.waitKey(1)
count += 1
#Break loop after 5*60 minus
if count > 5*60:
break
elapsed_time = time.time() - start_time
# Wait for 60 seconds (subtract elapsed_time in order to be accurate).
time.sleep(60 - elapsed_time)
cap.release()
print ("Done!")
cv2.destroyAllWindows()