picamera not working on premade script

[georgeaura]

I bought a robot kit for the pi. and in completion everything works fine minus the fpv the picamera I contacted seller and they sent me to links and videos that weren't detailed, lacking customer service have been working on this with friend for a week and still no luck. On my computer the robot has a python file called client and the py has a file called server, the client script runs an interface everything seems to work fine but the view from the camera is blank. the red light is on, I have ran stock command for picamera to see if it is work to get a live view with no luck I have switched out the cameras thinking there was a problem on that en but ran the command to see if the cam module is detected and it but the general picamera commands for functions dont work and the seller has said those commands can't be used while in use with the robot/interface running, but as soon as I power on the pi it automatically starts the script and robot initiates.

I will paste down below the camera script that the server runs. If anyone has any ideas as to what I am doing wrong please let me know

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#!/usr/bin/env/python3 # File name   : server.py # Description : for FPV video and OpenCV functions # Website     : www.adeept.com # E-mail      : support@adeept.com # Author      : William(Based on Adrian Rosebrock's OpenCV code on pyimagesearch.com) # Date        : 2018/08/22   import time import threading import cv2 import zmq import base64 import picamera from picamera.array import PiRGBArray import argparse import imutils from collections import deque import psutil import os import servo import PID import LED import datetime from rpi_ws281x import * import move   pid = PID.PID() pid.SetKp(0.5) pid.SetKd(0) pid.SetKi(0) Y_lock = 0 X_lock = 0 tor    = 17 FindColorMode = 0 WatchDogMode  = 0 UltraData = 3 LED  = LED.LED()   class FPV:     def __init__(self):         self.frame_num = 0         self.fps = 0           self.colorUpper = (44, 255, 255)         self.colorLower = (24, 100, 100)         def SetIP(self,invar):         self.IP = invar         def FindColor(self,invar):         global FindColorMode         FindColorMode = invar         if not FindColorMode:             servo.camera_ang('home',0)         def WatchDog(self,invar):         global WatchDogMode         WatchDogMode = invar         def UltraData(self,invar):         global UltraData         UltraData = invar         def capture_thread(self,IPinver):         ap = argparse.ArgumentParser()            #OpenCV initialization         ap.add_argument("-b", "--buffer", type=int, default=64,             help="max buffer size")         args = vars(ap.parse_args())         pts = deque(maxlen=args["buffer"])           font = cv2.FONT_HERSHEY_SIMPLEX           camera = picamera.PiCamera()         camera.resolution = (640, 480)         camera.framerate = 20         rawCapture = PiRGBArray(camera, size=(640, 480))           context = zmq.Context()         footage_socket = context.socket(zmq.PUB)         print(IPinver)         footage_socket.connect('tcp://%s:5555'%IPinver)           avg = None         motionCounter = 0         #time.sleep(4)         lastMovtionCaptured = datetime.datetime.now()           for frame in camera.capture_continuous(rawCapture, format="bgr", use_video_port=True):             frame_image = frame.array             cv2.line(frame_image,(300,240),(340,240),(128,255,128),1)             cv2.line(frame_image,(320,220),(320,260),(128,255,128),1)             timestamp = datetime.datetime.now()               if FindColorMode:                                   ####>>>OpenCV Start<<<####                 hsv = cv2.cvtColor(frame_image, cv2.COLOR_BGR2HSV)                 mask = cv2.inRange(hsv, self.colorLower, self.colorUpper)                 mask = cv2.erode(mask, None, iterations=2)                 mask = cv2.dilate(mask, None, iterations=2)                 cnts = cv2.findContours(mask.copy(), cv2.RETR_EXTERNAL,                     cv2.CHAIN_APPROX_SIMPLE)[-2]                 center = None                 if len(cnts) > 0:                     cv2.putText(frame_image,'Target Detected',(40,60), font, 0.5,(255,255,255),1,cv2.LINE_AA)                     c = max(cnts, key=cv2.contourArea)                     ((x, y), radius) = cv2.minEnclosingCircle(c)                     M = cv2.moments(c)                     center = (int(M["m10"] / M["m00"]), int(M["m01"] / M["m00"]))                     X = int(x)                     Y = int(y)                     if radius > 10:                         cv2.rectangle(frame_image,(int(x-radius),int(y+radius)),(int(x+radius),int(y-radius)),(255,255,255),1)                       if Y < (240-tor):                         error = (240-Y)/5                         outv = int(round((pid.GenOut(error)),0))                         servo.camera_ang('lookup',outv)                         Y_lock = 0                     elif Y > (240+tor):                         error = (Y-240)/5                         outv = int(round((pid.GenOut(error)),0))                         servo.camera_ang('lookdown',outv)                         Y_lock = 0                     else:                         Y_lock = 1                                             if X < (320-tor*3):                         move.move(70, 'no', 'left', 0.6)                         #time.sleep(0.1)                         #move.motorStop()                         X_lock = 0                     elif X > (330+tor*3):                         move.move(70, 'no', 'right', 0.6)                         #time.sleep(0.1)                         #move.motorStop()                         X_lock = 0                     else:                         move.motorStop()                         X_lock = 1                       if X_lock == 1 and Y_lock == 1:                         if UltraData > 0.5:                             move.move(70, 'forward', 'no', 0.6)                         elif UltraData < 0.4:                             move.move(70, 'backward', 'no', 0.6)                             print(UltraData)                         else:                             move.motorStop()                                         else:                     cv2.putText(frame_image,'Target Detecting',(40,60), font, 0.5,(255,255,255),1,cv2.LINE_AA)                     move.motorStop()                   for i in range(1, len(pts)):                     if pts[i - 1] is None or pts[i] is None:                         continue                     thickness = int(np.sqrt(args["buffer"] / float(i + 1)) * 2.5)                     cv2.line(frame_image, pts[i - 1], pts[i], (0, 0, 255), thickness)                 ####>>>OpenCV Ends<<<####                                 if WatchDogMode:                 gray = cv2.cvtColor(frame_image, cv2.COLOR_BGR2GRAY)                 gray = cv2.GaussianBlur(gray, (21, 21), 0)                   if avg is None:                     print("[INFO] starting background model...")                     avg = gray.copy().astype("float")                     rawCapture.truncate(0)                     continue                   cv2.accumulateWeighted(gray, avg, 0.5)                 frameDelta = cv2.absdiff(gray, cv2.convertScaleAbs(avg))                   # threshold the delta image, dilate the thresholded image to fill                 # in holes, then find contours on thresholded image                 thresh = cv2.threshold(frameDelta, 5, 255,                     cv2.THRESH_BINARY)[1]                 thresh = cv2.dilate(thresh, None, iterations=2)                 cnts = cv2.findContours(thresh.copy(), cv2.RETR_EXTERNAL,                     cv2.CHAIN_APPROX_SIMPLE)                 cnts = imutils.grab_contours(cnts)                 #print('x')                                # loop over the contours                 for c in cnts:                     # if the contour is too small, ignore it                     if cv2.contourArea(c) < 5000:                         continue                                    # compute the bounding box for the contour, draw it on the frame,                     # and update the text                     (x, y, w, h) = cv2.boundingRect(c)                     cv2.rectangle(frame_image, (x, y), (x + w, y + h), (128, 255, 0), 1)                     text = "Occupied"                     motionCounter += 1                     #print(motionCounter)                     #print(text)                     LED.colorWipe(Color(255,16,0))                     lastMovtionCaptured = timestamp                   if (timestamp - lastMovtionCaptured).seconds >= 0.5:                     LED.colorWipe(Color(255,255,0))                 encoded, buffer = cv2.imencode('.jpg', frame_image)             jpg_as_text = base64.b64encode(buffer)             footage_socket.send(jpg_as_text)               rawCapture.truncate(0)     if __name__ == '__main__':     fpv=FPV()     while 1:         fpv.capture_thread('192.168.0.110')         pass

[gontajones]

Could you please share the link to this robot kit?
I think your best choice will be using a official Raspbian image and try to access the picamera.
Maybe this is a hardware issue.