topic Re: D435 stops sending images when using opencv in Items with no label

D435 stops sending images when using opencv

JKjel1 — Fri, 03 May 2019 16:08:53 GMT

I'm trying to use the D435 camera to get color images and opencv to work with it. I'm having problems reading the image. This is the python code I'm using:

import cv2
 
cap = cv2.VideoCapture(6)
while (1==1):
	key=cv2.waitKey(1)
	ret, frame = cap.read()
	if ret:
		cv2.imshow("res",frame)
	if key==ord('q'):
		break
cap.release()
cv2.destroyAllWindows()

When run the code I get 2 color images which are all green and after those 2 I get the error message: python vidioc_dqbuf resource temporarily unavailable and no more images.

The scrip works with another camera, which isn't a d435. I've tried 2 different D435s and they both give the same faulty responses. When I use the same cameras and same python script on another computer it works. I'm positive the d435 is connected to a usb 3. Any help I can get is appreciated.

Re: D435 stops sending images when using opencv

Eliza_D_Intel — Fri, 03 May 2019 21:55:25 GMT

Hello JKjel1, Thank you for your interest in the Intel RealSense D435 camera. I am unable to run this code. Could you please perhaps attach the source file in order for us to test it? Thank you, Eliza

Re: D435 stops sending images when using opencv

Eliza_D_Intel — Fri, 10 May 2019 15:03:26 GMT

Hello JKjel1, We would like to know if you require further assistance on this topic. Thank you, Eliza

Re: D435 stops sending images when using opencv

JKjel1 — Fri, 10 May 2019 15:29:11 GMT

Solved the problem by using the sdk.

Re: D435 stops sending images when using opencv

CDuon — Thu, 04 Jun 2020 10:21:30 GMT

I got the same issues. normally, I can read the realsense camera by opencv. But today, the green color is shown, and after 3 times reading the messages is "VIDIOC_DQBUF: Resource temporarily unavailable"

Code:

import cv2
import numpy as np
 
# Create a VideoCapture object and read from input file
# If the input is the camera, pass 0 instead of the video file name
cap = cv2.VideoCapture(2)
print('hello')
# Check if camera opened successfully
if (cap.isOpened()== False): 
  print("Error opening video stream or file")
 
# Read until video is completed
while(cap.isOpened()):
  # Capture frame-by-frame
  ret, frame = cap.read()
  
  if ret == True:
    print("can reading file")
    # Display the resulting frame
    cv2.imshow('Frame',frame)
 
    # Press Q on keyboard to  exit
    if cv2.waitKey(25) & 0xFF == ord('q'):
      break
 
  # Break the loop
  else: 
    break
 
# When everything done, release the video capture object
cap.release()
 
# Closes all the frames
cv2.destroyAllWindows()

Terminal result:

hello
 
can reading file
 
can reading file
 
can reading file
 
select timeout
 
VIDIOC_DQBUF: Resource temporarily unavailable

I already test the same code with others computer, it can work. I also change different realsense cameras, but the same results. :(

Re: D435 stops sending images when using opencv

CDuon — Thu, 04 Jun 2020 10:28:41 GMT

annyway, the SDk still works. And the code is here. But I really want to figure out the problem in opencv

## License: Apache 2.0. See LICENSE file in root directory.
## Copyright(c) 2015-2017 Intel Corporation. All Rights Reserved.
 
###############################################
##      Open CV and Numpy integration        ##
###############################################
 
import pyrealsense2 as rs
import numpy as np
import cv2
 
 
cv2.namedWindow('RealSense', cv2.WINDOW_AUTOSIZE)
 
# Configure depth and color streams
pipeline = rs.pipeline()
config = rs.config()
config.enable_stream(rs.stream.depth, 640, 480, rs.format.z16, 30)
config.enable_stream(rs.stream.color, 640, 480, rs.format.bgr8, 30)
 
# Start streaming
pipeline.start(config)
 
try:
    while True:
 
        
        # Wait for a coherent pair of frames: depth and color
        frames = pipeline.wait_for_frames()
        depth_frame = frames.get_depth_frame()
        color_frame = frames.get_color_frame()
        if not depth_frame or not color_frame:
            continue
 
        # Convert images to numpy arrays
        depth_image = np.asanyarray(depth_frame.get_data())
        color_image = np.asanyarray(color_frame.get_data())
 
        # Apply colormap on depth image (image must be converted to 8-bit per pixel first)
        
        scaled_depth=cv2.convertScaleAbs(depth_image, alpha=0.08)
        depth_colormap = cv2.applyColorMap(scaled_depth, cv2.COLORMAP_JET)
 
        # Stack both images horizontally
        images = np.hstack((color_image, depth_colormap))
 
        # Show images
        cv2.imshow('RealSense', images)
 
 
        k = cv2.waitKey(1) & 0xFF
        if k == 27:
            break
 
finally:
 
    # Stop streaming
    pipeline.stop()

References: http://robotsforroboticists.com/realsense-usage-robotics-slam/