python exe erro I'm trying to create an EXE from an object-detector code I made but the following error codigo

I managed to trangormando it in the color but now it does not detect from far

error generated after a runtime

Traceback (most recent call last): File "C:/detectordeobjetos/setup.py", line 31, in <module> objetosDetectados = detector(frame) RuntimeError: Unsupported image type, must be 8bit gray or RGB image. [h264 @ 000000cedf0fe920] negative number of zero coeffs at 78 6 [h264 @ 000000cedf0fe920] error while decoding MB 78 6

code

import dlib
import cv2
import sys
import time
import requests

ip = "rtsp://admin:[email protected]/doc/page/preview.asp"
detector = dlib.simple_object_detector('C:/detectordeobjetos/thor.svm')
ipp = ("https://httpbin.org/post")
Nome = 'Detector de Objetos'
fonte = cv2.FONT_ITALIC
captura = cv2.VideoCapture(ip)
x = 0
tempo = 0
sinal = 0
time.sleep(1.0)




> while captura.isOpened():

    from datetime import datetime

    data_e_hora_atuais = datetime.now()
    data_e_hora_em_texto = data_e_hora_atuais.strftime('%d/%m/%Y %H:%M')
    conectado, frame = captura.read()
    tempo += 1

    print(tempo)

    sinal += 1
    objetosDetectados = detector(frame)
    for o in objetosDetectados:
        e, t, d, f = (int(o.left()), int(o.top()), int(o.right()), int(o.bottom()))
        cv2.rectangle(frame, (e, t), (d, f), (0, 255, 0), 1)
        cv2.putText(frame, 'Eixo Detectado', (e, t), fonte, 1.0, (0, 255, 0), 2, cv2.LINE_4)
        print("Objeto foi detectado")
        tempo = 0
        sinal = 0
        cv2.destroyAllWindows()
        time.sleep(5)

    if sinal == 5:
        xml = ("""<?xml version="1.0" encoding="iso-8859-1"?>
                    <calls>
                    <call>
                    <id>0000</id>
                    <mac>0013A20040A768C4</mac>
                    <bat>2.23</bat>
                    <dthora>""" + str(data_e_hora_em_texto) + """</dthora> </call> </calls>""")
        url = 'http://mmscon.cnhindustrial.ind.br/cnhind/mms/cebh/roti01.php'
        r = requests.post(ipp, {'data': xml}).text
        print(r)
        print("---Enviando Sinal ---")
        sinal = 0
        cv2.destroyAllWindows()
        time.sleep(5)

    captura.release()
    cv2.destroyAllWindows()
    sys.exit(0)

and now gives the following error [rtsp @ 000000b48fd685a0] RTP: PT=60: bad cseq ba45 expected=a875 [h264 @ 000000b4943

I converted it to gray but lost a lot of efficiency in detecting objects would have some other way

RGB error python error generated after a runtime Traceback (most recent call last): File "C:/detectordeobjetos/setup.

RGB error python error generated after a runtime Traceback (most recent call last): File "C:/detectordeobjetos/setup.

RGB error python error generated after a runtime Traceback (most recent call last): File "C:/detectordeobjetos/setup.

RGB error python error generated after a runtime Traceback (most recent call last): File "C:/detectordeobjetos/setup.

RGB error python error generated after a runtime Traceback (most recent call last): File "C:/detectordeobjetos/setup.

Thanks for the help today I discovered that the Fiat wants to use 64 cameras I'll end up setting up a nasa pc kkkkkkkkk

The main problem of it and the following it has to run 24 h and a low definition like 800 x 600 it runs very well with m

I'm doing an AI project to fiat where it will recognize an object when it is in place in the final project they want to recognize 285 parts simultaneously with several cameras so I do not know which hardware would be the best they have money to spend what they recommend (I had seen some tesla boards)

my code import dlib import cv2 import sys import socket import time import requests ip = "rtsp://admin:Infominas@192.

the prototype is ready, but I can not run it with very high definition cameras for a long time. The budget has no limits

hardware for opencv I'm doing an AI project to fiat where it will recognize an object when it is in place in the final p