第十四週-影像辨識機器對打修正十三週錯誤 << Previous Next >> 第十五週-影像辨識多個球員踢球

第十四週-更改影像辨識方式

此程式目前只有尋找藍色物件位置

import vrep
import time
import random as rng
from PIL import Image as I
import array

import cv2, numpy

# function based on: 
#   https://github.com/simondlevy/OpenCV-Python-Hacks/blob/master/greenball_tracker.py
def speed(handle,speed):
    vrep.simxSetJointTargetVelocity(clientID,handle,speed,vrep.simx_opmode_oneshot_wait)

def track_blue_object(image):
    # Blur the image to reduce noise100
    blur = cv2.GaussianBlur(image, (3,3),0)
    # Convert BGR to HSV
    hsv = cv2.cvtColor(blur, cv2.COLOR_BGR2HSV)
    # Threshold the HSV image for only blue colors
    ran = 20
    lower_blue = numpy.array([0-ran,100,100])
    upper_blue = numpy.array([0+ran,255,255])
    # Threshold the HSV image to get only blue colors
    mask = cv2.inRange(hsv, lower_blue, upper_blue)
    # Blur the mask
    bmask = cv2.GaussianBlur(mask, (5,5),0)
    
    threshold = 100
    canny_output = cv2.Canny(bmask, threshold,threshold*2)
    contours, _ = cv2.findContours(canny_output, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
    # Get the moments
    mu = [None]*len(contours)
    for i in range(len(contours)):
        mu[i] = cv2.moments(contours[i])
    # Get the mass centers
    mc = [None]*len(contours)
    for i in range(len(contours)):
        # add 1e-5 to avoid division by zero
        mc[i] = (mu[i]['m10'] / (mu[i]['m00'] + 1e-5), mu[i]['m01'] / (mu[i]['m00'] + 1e-5))
    return mc

vrep.simxFinish(-1)
clientID = vrep.simxStart('127.0.0.1', 19997, True, True, 5000, 5)

if clientID!=-1:
  print('Connected to remote API server')
  # get vision sensor objects
  res, v0 = vrep.simxGetObjectHandle(clientID, 'vs1', vrep.simx_opmode_oneshot_wait)
  res, v1 = vrep.simxGetObjectHandle(clientID, 'vs2', vrep.simx_opmode_oneshot_wait)
  err, resolution, image = vrep.simxGetVisionSensorImage(clientID, v0, 0, vrep.simx_opmode_streaming)
  err,Sphere_handle=vrep.simxGetObjectHandle(clientID,'Sphere',vrep.simx_opmode_oneshot_wait)
  err,BRod_handle=vrep.simxGetObjectHandle(clientID,'BRod',vrep.simx_opmode_oneshot_wait)
  err,BRev_handle=vrep.simxGetObjectHandle(clientID,'BRev',vrep.simx_opmode_oneshot_wait)
  err,BMo_handle=vrep.simxGetObjectHandle(clientID,'BMo',vrep.simx_opmode_oneshot_wait)
  err,RRev_handle=vrep.simxGetObjectHandle(clientID,'RRev',vrep.simx_opmode_oneshot_wait)
  err,RMo_handle=vrep.simxGetObjectHandle(clientID,'RMo',vrep.simx_opmode_oneshot_wait)
  err,RRod_handle=vrep.simxGetObjectHandle(clientID,'RRod',vrep.simx_opmode_oneshot_wait)
  time.sleep(1)
  while (vrep.simxGetConnectionId(clientID) != -1):
    # get image from vision sensor 'v0'
    err, resolution, image = vrep.simxGetVisionSensorImage(clientID, v0, 0, vrep.simx_opmode_buffer)
    if err == vrep.simx_return_ok:
        image_byte_array = array.array('b', image)
        image_buffer = I.frombuffer("RGB", (resolution[0],resolution[1]), bytes(image_byte_array), "raw", "RGB", 0, 1)
        img2 = numpy.asarray(image_buffer)
        # try to find something blue
        ret_blue = track_blue_object(img2)
        ret_blue_odd = ret_blue[::2]
        # get the position of blue Object
        for i in range(len(ret_blue_odd)):
            if ret_blue_odd[i][1] >=13 and ret_blue_odd[i][1] <=20:
                blue00 = (ret_blue_odd[i][0], ret_blue_odd[i][1])
                
            elif ret_blue_odd[i][1] >= 57 and ret_blue_odd[i][1] <=64:
                if ret_blue_odd[i][0] < ret_blue_odd[i+1][0]:
                    blue01 = (ret_blue_odd[i][0], ret_blue_odd[i][1])
                elif ret_blue[i][0] >= ret_blue[i+1][0]:
                    blue02 = (ret_blue_odd[i][0], ret_blue_odd[i][1])
        # blue00 is first rod object position
        # blue01 is  second rod and left object position
        # blue02 is second rod and right object position
        
        
        if ret_blue:
            for i in range(len(ret_blue)):
                cv2.rectangle(img2,(int(ret_blue[i][0] - 2),int(ret_blue[i][1] - 5)), (int(ret_blue[i][0] + 2),int(ret_blue[i][1] + 5)), (0x33,0xcc,0xff), 1)
        img2 = img2.ravel()
        vrep.simxSetVisionSensorImage(clientID, v1, img2, 0, vrep.simx_opmode_oneshot)
    elif err == vrep.simx_return_novalue_flag:
      print("no image yet")
      pass
    else:
      print(err)
else:
  print("Failed to connect to remote API Server")
  vrep.simxFinish(clientID)

第十四週-影像辨識機器對打修正十三週錯誤 << Previous Next >> 第十五週-影像辨識多個球員踢球