-
Notifications
You must be signed in to change notification settings - Fork 0
/
camera_original.py
executable file
·117 lines (87 loc) · 4.19 KB
/
camera_original.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
#!/usr/bin/env python
import socket
import numpy as np
import cv2
import os
import time
import struct
class Camera(object):
def __init__(self):
# Data options (change me)
self.im_height = 720
self.im_width = 1280
self.tcp_host_ip = '127.0.0.1'
self.tcp_port = 50000
self.buffer_size = 4098 # 4 KiB
# Connect to server
self.tcp_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
self.tcp_socket.connect((self.tcp_host_ip, self.tcp_port))
self.intrinsics = None
self.get_data()
def get_data(self):
# Ping the server with anything
self.tcp_socket.send(b'asdf')
# Fetch TCP data:
# color camera intrinsics, 9 floats, number of bytes: 9 x 4
# depth scale for converting depth from uint16 to float, 1 float, number of bytes: 4
# depth image, self.im_width x self.im_height uint16, number of bytes: self.im_width x self.im_height x 2
# color image, self.im_width x self.im_height x 3 uint8, number of bytes: self.im_width x self.im_height x 3
data = b''
while len(data) < (10*4 + self.im_height*self.im_width*5):
data += self.tcp_socket.recv(self.buffer_size)
# Reorganize TCP data into color and depth frame
self.intrinsics = np.fromstring(data[0:(9*4)], np.float32).reshape(3, 3)
depth_scale = np.fromstring(data[(9*4):(10*4)], np.float32)[0]
depth_img_size = self.im_width*self.im_height*2
color_img_size = self.im_width*self.im_height*3
depth_img = np.fromstring(data[(10*4):((10*4)+depth_img_size)], np.uint16).reshape(self.im_height, self.im_width)
color_img = np.fromstring(data[((10*4)+depth_img_size):((10*4)+depth_img_size+color_img_size)], np.uint8).reshape(self.im_height, self.im_width, 3)
depth_img = depth_img.astype(float) * depth_scale
return color_img, depth_img
# DEPRECATED CAMERA CLASS FOR REALSENSE WITH ROS
# ----------------------------------------------
# import rospy
# from realsense_camera.msg import StreamData
# class Camera(object):
# def __init__(self):
# # Data options (change me)
# self.im_height = 720
# self.im_width = 1280
# # RGB-D data variables
# self.color_data = np.zeros((self.im_height,self.im_width,3))
# self.depth_data = np.zeros((self.im_height,self.im_width))
# self.intrinsics = np.zeros((3,3))
# # Start ROS subscriber to fetch RealSense RGB-D data
# rospy.init_node('listener', anonymous=True)
# rospy.Subscriber("/realsense_camera/stream", StreamData, self.realsense_stream_callback)
# # Recording variables
# self.frame_idx = 0
# self.is_recording = False
# self.recording_directory = ''
# # ROS subscriber callback function
# def realsense_stream_callback(self, data):
# tmp_color_data = np.asarray(bytearray(data.color))
# tmp_color_data.shape = (self.im_height,self.im_width,3)
# tmp_depth_data = np.asarray(data.depth)
# tmp_depth_data.shape = (self.im_height,self.im_width)
# tmp_depth_data = tmp_depth_data.astype(float)/10000
# tmp_intrinsics = np.asarray(data.intrinsics)
# tmp_intrinsics.shape = (3,3)
# self.color_data = tmp_color_data
# self.depth_data = tmp_depth_data
# self.intrinsics = tmp_intrinsics
# if self.is_recording:
# tmp_color_image = cv2.cvtColor(tmp_color_data, cv2.COLOR_RGB2BGR)
# cv2.imwrite(os.path.join(self.recording_directory, '%06d.color.png' % (self.frame_idx)), tmp_color_image)
# tmp_depth_image = np.round(tmp_depth_data * 10000).astype(np.uint16) # Save depth in 1e-4 meters
# cv2.imwrite(os.path.join(self.recording_directory, '%06d.depth.png' % (self.frame_idx)), tmp_depth_image)
# self.frame_idx += 1
# else:
# self.frame_idx = 0
# time.sleep(0.1)
# # Start/stop recording RGB-D video stream
# def start_recording(self, directory):
# self.recording_directory = directory
# self.is_recording = True
# def stop_recording(self):
# self.is_recording = False