diff options
author | Your Name <you@example.com> | 2021-08-20 10:33:59 -0400 |
---|---|---|
committer | Your Name <you@example.com> | 2021-08-20 10:33:59 -0400 |
commit | 9ac821480ce9f2d88cbbb9363867760507522ebc (patch) | |
tree | d1ee93d7759099368129691796d107cf326092b4 /makeCrop.py | |
parent | e4ec24000b7ed45490eaa988c94546f480114933 (diff) | |
download | annotator-9ac821480ce9f2d88cbbb9363867760507522ebc.tar.gz annotator-9ac821480ce9f2d88cbbb9363867760507522ebc.tar.bz2 annotator-9ac821480ce9f2d88cbbb9363867760507522ebc.zip |
Added a cropping utility
Diffstat (limited to 'makeCrop.py')
-rwxr-xr-x | makeCrop.py | 92 |
1 files changed, 92 insertions, 0 deletions
diff --git a/makeCrop.py b/makeCrop.py new file mode 100755 index 0000000..8865dad --- /dev/null +++ b/makeCrop.py @@ -0,0 +1,92 @@ +#!/usr/bin/env python3 +# PYTHON_ARGCOMPLETE_OK + +import argparse, argcomplete + +parser = argparse.ArgumentParser(description='Crop and scale a video based on bounding boxes') +parser.add_argument('boxes', help='Path to csv file where bounding boxes are saved') +parser.add_argument('video', help='Path to video to crop') +parser.add_argument('--intermediary', help='Path to intermediary video if size differs') +parser.add_argument('--label', help='Boxes label (uses all if not provided)') +parser.add_argument('--save-stem', help='Location to save stem.npz and stem.avi. Default: out', default='out') +parser.add_argument('--skip-zero-boxes', help='Skip boxes with zero size', action='store_true') +parser.add_argument('--debug', help='Save a debugging video as well', action='store_true') + +argcomplete.autocomplete(parser) +args = parser.parse_args() + +OUTW = 64 +OUTH = 64 + +import csv +with open(args.boxes) as f: + boxes = list(csv.reader(f)) + +if args.label: + boxes = [b for b in boxes if b[0] == args.label] + +import cv2 +cap = cv2.VideoCapture(args.video) +width = cap.get(cv2.CAP_PROP_FRAME_WIDTH) +height = cap.get(cv2.CAP_PROP_FRAME_HEIGHT) +fps = cap.get(cv2.CAP_PROP_FPS) + +zoomX = 1.0 +zoomY = 1.0 +if args.intermediary: + inter = cv2.VideoCapture(args.intermediary) + interWidth = inter.get(cv2.CAP_PROP_FRAME_WIDTH) + interHeight = inter.get(cv2.CAP_PROP_FRAME_HEIGHT) + zoomX = width / interWidth + zoomY = height / interHeight + inter.release() + +# Each box is [str(label), float(time), int(x1), int(y1), int(x2), int(y2)] +boxes = [[b[0], float(b[1]), int(int(b[2]) * zoomX), int(int(b[3]) * zoomY), int(int(b[4]) * zoomX), int(int(b[5]) * zoomY)] for b in boxes] + +if args.skip_zero_boxes: + boxes = [b for b in boxes if b[2] != b[4] and b[3] != b[5]] + +import numpy as np +outArry = [] +outVid = cv2.VideoWriter(args.save_stem + '.avi', cv2.VideoWriter_fourcc('M','J','P','G'), fps, (OUTW, OUTH)) + +if args.debug: + outDebug = cv2.VideoWriter(args.save_stem + '-debug.avi', cv2.VideoWriter_fourcc('M','J','P','G'), fps, (int(OUTW * height / OUTH + width), int(height))) + +# This may take a bit, so do a progress bar +from progress.bar import IncrementalBar +bar = IncrementalBar('Frames Processed', max=cap.get(cv2.CAP_PROP_FRAME_COUNT), suffix='%(index)d/%(max)d - %(eta)d s') + +frameNum = 0 +while cap.isOpened(): + ret, frame = cap.read() + if not ret: + break + time = frameNum / fps + # Make boxes[0] the most recent timestamp without going over current time + while len(boxes) >= 2 and boxes[1][1] <= time: + boxes = boxes[1:] + x1, x2 = sorted([boxes[0][2], boxes[0][4]]) + y1, y2 = sorted([boxes[0][3], boxes[0][5]]) + cropped = frame[y1:y2, x1:x2] + if cropped.size < 1: + resized = np.zeros((OUTH, OUTW, 3), dtype=cropped.dtype) + else: + resized = cv2.resize(cropped, (OUTH, OUTW), interpolation=cv2.INTER_CUBIC) + outArry.append(resized) + outVid.write(resized) + if args.debug: + # Draw box on frame + cv2.rectangle(frame, (x1, y1), (x2, y2), (0, 255, 0), 2) + # Resize "resized" + scaledUp = cv2.resize(resized, (int(OUTW * height / OUTH), int(height)), interpolation=cv2.INTER_AREA) + concatted = cv2.hconcat([frame, scaledUp]) + outDebug.write(concatted) + bar.next() + frameNum += 1 + +bar.finish() + +# Save out array +np.savez_compressed(args.save_stem + '.npz', np.array(outArry)) |