D435 stops sending images when using opencv

[JKjel1]

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.

[Eliza_D_Intel]

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

[Eliza_D_Intel]

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

[JKjel1 · Accepted solution]

Solved the problem by using the sdk.

[CDuon]

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. :(

[CDuon]

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/