add leftover files
parent
d3b8971102
commit
b9def1e911
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@ -75,3 +75,4 @@ dmypy.json
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.pytype/
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cython_debug/
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/data/
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.idea/
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134
app.py
134
app.py
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@ -1,42 +1,12 @@
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import cv2
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import os
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import math
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import numpy as np
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import matplotlib.pyplot as plt
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from colors import colorslist
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import glob
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import shutil
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# Create the temp dir
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if not os.path.exists('data'):
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os.makedirs('data')
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# Define the color spaces
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Red_lower2 = np.array([,100,100])
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Red_upper2 = np.array([,255,255])
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Red_lower1 = np.array([0,100,100])
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Red_upper1 = np.array([6,255,255])
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Orange_lower = np.array([7,100,100])
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Orange_upper = np.array([22,255,255])
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Yellow_lower = np.array([23,100,100])
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Yellow_upper = np.array([32,255,255])
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Green_lower = np.array([33,100,100])
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Green_upper = np.array([75,255,255])
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Cyan_lower = np.array([76,100,100])
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Cyan_upper = np.array([97,255,255])
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Blue_lower = np.array([93,100,100])
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Blue_upper = np.array([130,255,255])
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Purple_lower = np.array([130,100,100])
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Purple_upper = np.array([,255,255])
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Pink_lower = np.array([,100,100])
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Pink_upper = np.array([,255,255])
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White_lower = np.array([,100,100])
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White_upper = np.array([,255,255])
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Black_lower = np.array([,100,100])
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Black_upper = np.array([,255,255])
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# loop through video files
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videopath = '/media/vm/HDD/freeloops/3D/'
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imagepath = 'data/'
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videos = os.listdir(videopath)
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for video in videos:
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def takescreenshots(video):
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print(video)
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cap = cv2.VideoCapture(videopath + video)
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framerate = cap.get(cv2.CAP_PROP_FPS)
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while cap.isOpened():
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@ -47,13 +17,99 @@ for video in videos:
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if frameId % math.floor(framerate) == 0:
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filename = imagepath + "/screenshot_" + str(int(frameId)) + ".jpg"
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cv2.imwrite(filename, frame)
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del cap
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def getcolors(image):
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img = cv2.imread(imagepath + image)
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hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
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return hsv
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def getcolormask(hsv,lower, upper):
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colormask = cv2.inRange(hsv, lower, upper)
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return colormask
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def getcolorpercentage(mask):
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percentage = round(((mask > 0).mean()) * 100, 3)
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return percentage
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def calcaverage(color):
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return sum(color)/len(color)
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def gettopcolor(colors):
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color = max(colors, key=colors.get)
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result = {color: results.pop(color)}
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return result
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def movetofolder(folder):
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if not os.path.exists('/media/vm/HDD/organisedloops/' + folder):
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os.makedirs('/media/vm/HDD/organisedloops/' + folder)
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shutil.move(videopath + video, '/media/vm/HDD/organisedloops/' + folder)
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# Create the temp dir
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if not os.path.exists('data'):
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os.makedirs('data')
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# loop through video files
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videopath = '/media/vm/HDD/organise/'
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imagepath = 'data/'
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videos = os.listdir(videopath)
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for video in videos:
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percentagedict = {}
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for color in colorslist:
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percentagedict[color['color']] = []
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takescreenshots(video)
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# analyze each screenshot for colors
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images = os.listdir(imagepath)
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for image in images:
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cap = cv2.imread(imagepath + image, cv2.COLOR_BGR2HSV)
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plt.imshow(cap)
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hsv = getcolors(image)
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for color in colorslist:
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mask = getcolormask(hsv, color['lowerlimit'], color['upperlimit'])
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percentagedict[color['color']].append(getcolorpercentage(mask))
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results = {}
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for color in colorslist:
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results[color['color']] = calcaverage(percentagedict[color['color']])
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results['red'] = results['red1'] + results['red2']
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del results['red1'], results['red2']
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primarycolor = gettopcolor(results)
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print(primarycolor)
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secondarycolor = gettopcolor(results)
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print(secondarycolor)
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tertiarycolor = gettopcolor(results)
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print(tertiarycolor)
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# If color detection fails
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if next(iter(primarycolor.values())) <= 0.001:
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folder = 'nofolder'
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movetofolder(folder)
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# if one color dominates
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elif next(iter(secondarycolor.values())) <= next(iter(primarycolor.values())) * 0.05:
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folder = next(iter(primarycolor.keys()))
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movetofolder(folder)
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# move video file according to results
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else:
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# if two colors dominate
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if next(iter(secondarycolor.values())) >= next(iter(tertiarycolor.values())) * 4:
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folder = next(iter(primarycolor.keys())) + ' + ' + next(iter(secondarycolor.keys()))
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movetofolder(folder)
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# if three colors dominate
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else:
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folder = 'multicolor'
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movetofolder(folder)
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# clear data folder
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files = glob.glob('data/*')
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for f in files:
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os.remove(f)
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@ -0,0 +1,14 @@
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import numpy as np
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colorslist = [
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{'color': 'red1', 'lowerlimit': np.array([0, 40, 31]), 'upperlimit': np.array([6, 255, 255])},
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{'color': 'red2', 'lowerlimit': np.array([175, 40, 31]), 'upperlimit': np.array([180, 255, 255])},
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{'color': 'orange', 'lowerlimit': np.array([7, 40, 31]), 'upperlimit': np.array([22, 255, 255])},
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{'color': 'yellow', 'lowerlimit': np.array([26, 40, 31]), 'upperlimit': np.array([32, 255, 255])},
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{'color': 'green', 'lowerlimit': np.array([39, 40, 31]), 'upperlimit': np.array([70, 255, 255])},
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{'color': 'cyan', 'lowerlimit': np.array([76, 40, 31]), 'upperlimit': np.array([80, 255, 255])},
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{'color': 'blue', 'lowerlimit': np.array([93, 40, 31]), 'upperlimit': np.array([128, 255, 255])},
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{'color': 'purple', 'lowerlimit': np.array([131, 40, 31]), 'upperlimit': np.array([149, 255, 255])},
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{'color': 'pink', 'lowerlimit': np.array([150, 40, 31]), 'upperlimit': np.array([176, 255, 255])},
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{'color': 'white', 'lowerlimit': np.array([0, 0, 245]), 'upperlimit': np.array([180, 3, 255])}
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]
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