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camera_viewer_realsense.py
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camera_viewer_realsense.py
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## License: Apache 2.0. See LICENSE file in root directory.
## Copyright(c) 2015-2017 Intel Corporation. All Rights Reserved.
###############################################
## Open CV and Numpy integration ##
###############################################
from email.mime import image
import pyrealsense2 as rs
import numpy as np
import cv2
# Configure depth and color streams
pipeline = rs.pipeline()
config = rs.config()
# Get device product line for setting a supporting resolution
pipeline_wrapper = rs.pipeline_wrapper(pipeline)
pipeline_profile = config.resolve(pipeline_wrapper)
device = pipeline_profile.get_device()
device_product_line = str(device.get_info(rs.camera_info.product_line))
found_rgb = False
for s in device.sensors:
if s.get_info(rs.camera_info.name) == 'RGB Camera':
found_rgb = True
break
if not found_rgb:
print("The demo requires Depth camera with Color sensor")
exit(0)
# config.enable_stream(rs.stream.depth, 640, 480, rs.format.bgr8, 30)
if device_product_line != 'L500':
config.enable_stream(rs.stream.color, 640, 480, rs.format.bgr8, 30)
print('ok')
# Start streaming
pipeline.start(config)
try:
while True:
# Wait for a coherent pair of frames: depth and color
frames = pipeline.wait_for_frames()
color_frame = frames.get_color_frame()
if not color_frame:
continue
# Convert images to numpy arrays
color_image = np.asanyarray(color_frame.get_data())
color_colormap_dim = color_image.shape
images = np.stack(color_image)
images = cv2.flip(images, 1)
# Show images
cv2.namedWindow('RealSense', cv2.WINDOW_AUTOSIZE)
cv2.imshow('RealSense', images)
cv2.waitKey(1)
finally:
# Stop streaming
pipeline.stop()