Created
February 23, 2022 23:06
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Alternative for the `cv_bridge` python library two most used functions.
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# initial code from https://github.com/ros-perception/vision_opencv/blob/noetic/cv_bridge/python/cv_bridge/core.py | |
import cv2 | |
import numpy as np | |
import sensor_msgs | |
def cv2_to_imgmsg(cvim, encoding="passthrough", header=None): | |
if not isinstance(cvim, (np.ndarray, np.generic)): | |
raise TypeError('Your input type is not a numpy array') | |
# prepare msg | |
img_msg = sensor_msgs.msg.Image() | |
img_msg.height = cvim.shape[0] | |
img_msg.width = cvim.shape[1] | |
if header is not None: | |
img_msg.header = header | |
# encoding handling | |
numpy_type_to_cvtype = {'uint8': '8U', 'int8': '8S', 'uint16': '16U', | |
'int16': '16S', 'int32': '32S', 'float32': '32F', | |
'float64': '64F'} | |
numpy_type_to_cvtype.update(dict((v, k) for (k, v) in numpy_type_to_cvtype.items())) | |
if len(cvim.shape) < 3: | |
cv_type = '{}C{}'.format(numpy_type_to_cvtype[cvim.dtype.name], 1) | |
else: | |
cv_type = '{}C{}'.format(numpy_type_to_cvtype[cvim.dtype.name], cvim.shape[2]) | |
if encoding == "passthrough": | |
img_msg.encoding = cv_type | |
else: | |
img_msg.encoding = encoding | |
if cvim.dtype.byteorder == '>': | |
img_msg.is_bigendian = True | |
# img data to msg data | |
img_msg.data = cvim.tostring() | |
img_msg.step = len(img_msg.data) // img_msg.height | |
return img_msg | |
def imgmsg_to_cv2(img_msg, dtype=np.uint8): | |
# it should be possible to determine dtype from img_msg.encoding but there is many different cases to take into account | |
# original function args: imgmsg_to_cv2(img_msg, desired_encoding = "passthrough") | |
return np.frombuffer(img_msg.data, dtype=dtype).reshape(img_msg.height, img_msg.width, -1) |
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