add leftover files

.gitignore

@@ -75,3 +75,4 @@ dmypy.json
 .pytype/
 cython_debug/
 /data/
+.idea/

app.py

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

colors.py

@@ -0,0 +1,14 @@
+import numpy as np
+
+colorslist = [
+    {'color': 'red1', 'lowerlimit': np.array([0, 40, 31]), 'upperlimit': np.array([6, 255, 255])},
+    {'color': 'red2', 'lowerlimit': np.array([175, 40, 31]), 'upperlimit': np.array([180, 255, 255])},
+    {'color': 'orange', 'lowerlimit': np.array([7, 40, 31]), 'upperlimit': np.array([22, 255, 255])},
+    {'color': 'yellow', 'lowerlimit': np.array([26, 40, 31]), 'upperlimit': np.array([32, 255, 255])},
+    {'color': 'green', 'lowerlimit': np.array([39, 40, 31]), 'upperlimit': np.array([70, 255, 255])},
+    {'color': 'cyan', 'lowerlimit': np.array([76, 40, 31]), 'upperlimit': np.array([80, 255, 255])},
+    {'color': 'blue', 'lowerlimit': np.array([93, 40, 31]), 'upperlimit': np.array([128, 255, 255])},
+    {'color': 'purple', 'lowerlimit': np.array([131, 40, 31]), 'upperlimit': np.array([149, 255, 255])},
+    {'color': 'pink', 'lowerlimit': np.array([150, 40, 31]), 'upperlimit': np.array([176, 255, 255])},
+    {'color': 'white', 'lowerlimit': np.array([0, 0, 245]), 'upperlimit': np.array([180, 3, 255])}
+]