EasyMocap/apps/calibration/detect_chessboard.py
2021-06-25 15:46:16 +08:00

62 lines
2.5 KiB
Python

# detect the corner of chessboard
from easymocap.annotator.file_utils import getFileList, read_json, save_json
from tqdm import tqdm
from easymocap.annotator import ImageFolder
from easymocap.annotator.chessboard import getChessboard3d, findChessboardCorners
import numpy as np
from os.path import join
import cv2
import os
def create_chessboard(path, pattern, gridSize, ext):
print('Create chessboard {}'.format(pattern))
keypoints3d = getChessboard3d(pattern, gridSize=gridSize)
keypoints2d = np.zeros((keypoints3d.shape[0], 3))
imgnames = getFileList(path, ext=ext)
template = {
'keypoints3d': keypoints3d.tolist(),
'keypoints2d': keypoints2d.tolist(),
'visited': False
}
for imgname in tqdm(imgnames, desc='create template chessboard'):
annname = imgname.replace('images', 'chessboard').replace(ext, '.json')
annname = join(path, annname)
if os.path.exists(annname):
# 覆盖keypoints3d
data = read_json(annname)
data['keypoints3d'] = template['keypoints3d']
save_json(annname, data)
else:
save_json(annname, template)
def detect_chessboard(path, out, pattern, gridSize):
create_chessboard(path, pattern, gridSize, ext=args.ext)
dataset = ImageFolder(path, annot='chessboard', ext=args.ext)
dataset.isTmp = False
for i in tqdm(range(len(dataset))):
imgname, annotname = dataset[i]
# detect the 2d chessboard
img = cv2.imread(imgname)
annots = read_json(annotname)
show = findChessboardCorners(img, annots, pattern)
save_json(annotname, annots)
if show is None:
continue
outname = join(out, imgname.replace(path + '/images/', ''))
os.makedirs(os.path.dirname(outname), exist_ok=True)
cv2.imwrite(outname, show)
if __name__ == "__main__":
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('path', type=str)
parser.add_argument('--out', type=str)
parser.add_argument('--ext', type=str, default='.jpg', choices=['.jpg', '.png'])
parser.add_argument('--pattern', type=lambda x: (int(x.split(',')[0]), int(x.split(',')[1])),
help='The pattern of the chessboard', default=(9, 6))
parser.add_argument('--grid', type=float, default=0.1,
help='The length of the grid size (unit: meter)')
parser.add_argument('--debug', action='store_true')
args = parser.parse_args()
detect_chessboard(args.path, args.out, pattern=args.pattern, gridSize=args.grid)