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import requests
import base64
import cv2
import numpy as np
import json
class RealSenseObjectDetectionServer :
def __init__ ( self , server_url = " http://rd1.k-lab.su/follow-vector " ) :
self . server_url = server_url
self . width = 640
self . height = 480
self . fps = 30
def encode_image_to_base64 ( self , image : np . ndarray ) - > str :
_ , buffer = cv2 . imencode ( ' .jpg ' , image )
return base64 . b64encode ( buffer ) . decode ( ' utf-8 ' )
def send_images ( self , color_matrix , depth_matrix ) :
if color_matrix is None or depth_matrix is None :
print ( " Н е " )
return None
color_base64 = self . encode_image_to_base64 ( color_matrix )
depth_base64 = self . encode_image_to_base64 ( depth_matrix )
payload = {
" rgb " : color_base64 ,
" depth " : depth_base64
}
with open ( " ./tmp_request_data_log.json " , " w " ) as json_file :
json . dump ( payload , json_file , indent = 4 )
try :
response = requests . post ( self . server_url , json = payload )
print ( response . text )
response . raise_for_status ( ) # Проверка на ошибки HTTP
return response . json ( )
except requests . exceptions . RequestException as e :
print ( f " Ошибка при отправке данных: { e } " )
return None
