Added basic pipeline

src/autophotographer.py

@@ -0,0 +1,87 @@
+import cv2
+import sys
+import argparse
+import os
+import pathlib
+import numpy
+import time
+
+# Process arguments
+def parse_arguments(argv=None):
+    parser = argparse.ArgumentParser()
+    parser.add_argument('-i', '--input', dest='inputfile', type=pathlib.Path, help='Specify a video file')
+    parser.add_argument('-o', '--output', dest='outputfolder', type=pathlib.Path, help='Specify a folder to save frames to')
+    return parser.parse_args()
+
+# Convert video to frames
+def video_to_frames():
+    startTime = time.time()
+    print("Converting video to frames...")
+    capture = cv2.VideoCapture(str(inputfile))
+    success,image = capture.read()
+    count = 0
+    while success:
+        outputfile = outputfolder + "/frame%d.jpg" % count
+        # print(outputfile)
+        cv2.imwrite(outputfile, image)
+        success,image = capture.read()
+        count +=1
+    endTime = time.time()
+    totalTime = endTime - startTime
+    print("Exported " + str(count) + " frames in " + str(totalTime) + " seconds.")
+
+# Shrink set based on filesize
+def display_file_sizes():
+    filesizes = []
+    for filename in os.listdir(outputfolder):
+        filepath = outputfolder + "/" + filename
+        filesize = os.path.getsize(filepath)
+        print(filepath + ": " + str(filesize))
+        filesizes.append(filesize)
+    # work out average
+    average = sum(filesizes)/len(filesizes)
+    print ("Average is: " + str(average))
+    # delete files below average
+    count = 0
+    for filename in os.listdir(outputfolder):
+        filepath = outputfolder + "/" + filename
+        if filesizes[count] < average:
+            # print(filepath + ": " + str(filesizes[count]))
+            os.remove(filepath)
+        count += 1
+
+#def remove_similar_frames():
+def order_frames_by_filesize():
+    frames = os.listdir(outputfolder)
+    frames = sorted(frames, key = lambda x: os.stat(os.path.join(outputfolder, x)).st_size, reverse = True)
+    for frame in frames:
+        filesize = os.stat(os.path.join(outputfolder, frame)).st_size
+        if filesize > 1024:
+            filesize = filesize / 1024
+            print(frame + ": " + str(filesize) + " KB")
+        else:
+            print(frame + ": " + str(filesize))
+
+def order_frames_by_brightness():
+    frames_path = os.listdir(outputfolder)
+    frames_path = sorted(frames_path, key = return_frame_brightness)
+    for frame_path in frames_path:
+        print(frame_path + ": " + str(return_frame_brightness(frame_path)))
+
+def return_frame_brightness(frame_path):
+    frame = cv2.imread(os.path.join(outputfolder, frame_path))
+    hsv_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
+    h, s, v = cv2.split(hsv_frame)
+    average_v = numpy.average(v)
+    return average_v
+
+args = parse_arguments()
+inputfile = str(args.inputfile.absolute())
+outputfolder = str(args.outputfolder.absolute())
+
+# Convert video to frames
+video_to_frames()
+
+display_file_sizes()
+#order_frames_by_filesize()
+#order_frames_by_brightness()