I keep getting an IndexError at cv2.minAreaRect and my screen only displays a white screen. I'm new to python (java developer) I have absolutely no idea what's going on. Some help would be greatly appreciated!

Code is running on a Raspberry Pi3 connecting to an IP Camera. Can successfully connect to camera via browser. Also I'm trying to detect the green color range so no idea how HSV ranges work.

PS: Sorry about the ugly formatting, pasting from eclipse to here breaks everything. I can't post a pastebin link either.

#imports

import cv2 import numpy as np import time import argparse import array from collections import deque from networktables import NetworkTables

NetworkTables information

NetworkTables.initialize(server='OPENCV.ORG WONT LET ME DO IP') Table = NetworkTables.getTable("table") array.array('i')

cap = cv2.VideoCapture('OPENCV.ORG WONT LET ME DO IP')

while(True): try: # Capture frame-by-frame ret, frame = cap.read()

#set color to HSV
    gray = cv2.cvtColor(frame,cv2.COLOR_BGR2HSV);

#set color range
    greenLower = (120, 100, 100) #adjust as needed
    greenUpper = (109, 48, 89)

#set color range
    bin = cv2.inRange(gray, greenLower, greenUpper)

#Our operations on the frame come here
    bin = cv2.dilate(bin, None)  # fill some holes
    bin = cv2.dilate(bin, None)
    bin = cv2.erode(bin, None)   # dilate made our shape larger, revert that
    bin = cv2.erode(bin, None)
    bin, contours, hierarchy = cv2.findContours(bin, cv2.RETR_LIST, cv2.CHAIN_APPROX_SIMPLE)

    #find box coordinates, if break add while
    rc = cv2.minAreaRect(contours[0])
    box = cv2.boxPoints(rc)
    for p in box: 
        pt = (p[0],p[1])
        cv2.circle(ret,pt,5,(200,0,0),2)

    #Display the resulting frame
    cv2.imshow('frame',bin) #shows the frame to screen
    if cv2.waitKey(1) & 0xFF == ord('q'): #if 'q' key is pressed, end feed
        break

except IndexError:
    print("No Contours Found")

safely end code sequence

cap.release() cv2.destroyAllWindows()

I keep getting an IndexError at cv2.minAreaRect and my screen only displays a white screen. I'm new to python (java developer) I have absolutely no idea what's going on. Some help would be greatly appreciated!

Code is running on a Raspberry Pi3 connecting to an IP Camera. Can successfully connect to camera via browser. Also I'm trying to detect the green color range so no idea how HSV ranges work.

PS: Sorry about the ugly formatting, pasting from eclipse to here breaks everything. I can't post a pastebin link either.

#imports

import cv2 import numpy as np import time import argparse import array from collections import deque from networktables import NetworkTables

NetworkTables information

NetworkTables #NetworkTables information NetworkTables.initialize(server='OPENCV.ORG WONT LET ME DO IP') Table = NetworkTables.getTable("table") array.array('i')

array.array('i') cap = cv2.VideoCapture('OPENCV.ORG WONT LET ME DO IP')

IP') while(True): try: # Capture frame-by-frame ret, frame = cap.read()

cap.read()

    #set color to HSV
     gray = cv2.cvtColor(frame,cv2.COLOR_BGR2HSV);

 #set color range
     greenLower = (120, 100, 100) #adjust as needed
     greenUpper = (109, 48, 89)

 #set color range
     bin = cv2.inRange(gray, greenLower, greenUpper)

 #Our operations on the frame come here
     bin = cv2.dilate(bin, None)  # fill some holes
     bin = cv2.dilate(bin, None)
     bin = cv2.erode(bin, None)   # dilate made our shape larger, revert that
     bin = cv2.erode(bin, None)
     bin, contours, hierarchy = cv2.findContours(bin, cv2.RETR_LIST, cv2.CHAIN_APPROX_SIMPLE)

     #find box coordinates, if break add while
     rc = cv2.minAreaRect(contours[0])
     box = cv2.boxPoints(rc)
     for p in box: 
         pt = (p[0],p[1])
         cv2.circle(ret,pt,5,(200,0,0),2)

     #Display the resulting frame
     cv2.imshow('frame',bin) #shows the frame to screen
     if cv2.waitKey(1) & 0xFF == ord('q'): #if 'q' key is pressed, end feed
         break

 except IndexError:
     print("No Contours Found")

#safely end code sequence
cap.release()
cv2.destroyAllWindows()