cleanup comments and space

..miugCom/miugCom.py

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+import colorsys
+import math
+from math import hypot
+from tkinter import * #for widgets
+import tkinter as ttk #for widgets
+from tkinter.scrolledtext import ScrolledText
+import time #for sending midi
+import rtmidi #for sending midi
+import numpy as np #for webcam
+import cv2 #for webcam
+from collections import deque # for tracking balls
+import argparse # for tracking balls
+import imutils # for tracking balls
+import sys # for tracking balls
+from tkinter import messagebox
+import pyautogui
+import time
+import pythoncom
+from tkinter.filedialog import askopenfilename
+from scipy import ndimage
+import matplotlib.pyplot as plt
+import pygame as pg
+
+
+midiout = rtmidi.MidiOut()
+available_ports = midiout.get_ports()
+if available_ports:
+    midiout.open_port(1)
+else:
+    midiout.open_virtual_port("My virtual output")
+
+root = Tk() 
+root.title("Miug")
+
+def run_camera(): 
+    pg.mixer.init()
+    pg.init()
+    pg.mixer.set_num_channels(19)
+    sounds = []
+    sounds.append(pg.mixer.Sound(pg.mixer.Sound("/Users/Thursday/..miugCom/notes01.wav")))
+    sounds.append(pg.mixer.Sound(pg.mixer.Sound("/Users/Thursday/..miugCom/notes02.wav")))
+    sounds.append(pg.mixer.Sound(pg.mixer.Sound("/Users/Thursday/..miugCom/notes03.wav")))
+    sounds.append(pg.mixer.Sound(pg.mixer.Sound("/Users/Thursday/..miugCom/notes04.wav")))
+
+
+    sound_num = 0
+
+    PY3 = sys.version_info[0] == 3
+    if PY3:
+        xrange = range
+    ap = argparse.ArgumentParser()
+    ap.add_argument("-v", "--video",
+            help="path to the (optional) video file")
+    ap.add_argument("-b", "--buffer", type=int, default=64,
+            help="max buffer size")
+    args = vars(ap.parse_args())
+    pts = deque(maxlen=args["buffer"])
+    camera = cv2.VideoCapture(0)
+    all_cx = []
+    all_cy = []
+    frames = 0
+    start = time.time()
+    lastDifY = 0
+    thisDifY = 0
+    lastCy = 0
+    secondLastY = 0
+    num_high = 0
+    while True and frames < 200: 
+        (grabbed, frame) = camera.read()
+        frames = frames + 1
+        #print("frame:" + str(frames))
+        if args.get("video") and not grabbed:
+            break                            
+        frame = imutils.resize(frame, width=600)
+
+        #grey = np.zeros((frame.shape[0], frame.shape[1])) # init 2D numpy array
+        framegray = cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)
+
+        ret,thresh = cv2.threshold(framegray,127,255,0)
+        #thresh = cv2.adaptiveThreshold(framegray,255,cv2.ADAPTIVE_THRESH_GAUSSIAN_C,cv2.THRESH_BINARY,11,2)
+        im2, contours, hierarchy = cv2.findContours(thresh,cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE)
+
+        if contours:
+            cnt = contours[0]
+            M = cv2.moments(cnt)
+            #print M
+            if M['m00'] > 0:
+                cx = int(M['m10']/M['m00'])
+                cy = int(M['m01']/M['m00'])
+                all_cx.append(cx)
+                all_cy.append(cy)
+                #print("cx : "+str(cx)+",cy :"+str(cy))
+                lastDifY = thisDifY
+                thisDifY = cy-lastCy
+                #secondLastY = lastCy 
+                lastCy = cy
+                if (lastDifY < 0 and (thisDifY > 0 or abs(thisDifY) < .5)) and (abs(thisDifY) > 10 or abs(lastDifY) > 10):
+                    num_high = num_high + 1
+                    print("hi " + str(num_high))
+                    sounds[sound_num].play()
+                    sound_num = sound_num + 1
+                    if sound_num == 4:
+                        sound_num = 0
+
+
+
+        for i in xrange(1, len(pts)):
+            if pts[i - 1] is None or pts[i] is None:
+                continue
+        #cv2.imshow("Frame", frame)
+        key = cv2.waitKey(1) & 0xFF
+        if key == ord("q"):
+            print("b2")
+            break
+    end = time.time()
+    fps = 200/(end-start)
+    print("fps: "+str(fps))
+    camera.release()
+    cv2.destroyAllWindows()
+    line1 = plt.plot(all_cx, label="x")
+    line2 = plt.plot(all_cy, label="y")
+    #plt.legend([line1, line2],['X', 'Y'])
+    #plt.show()
+
+run_camera()