加入了图像矫正函数

This commit is contained in:
fuly 2024-11-05 21:25:01 +08:00
parent 9484c1f1f3
commit 3e63b4760a

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@ -6,6 +6,7 @@ import numpy as np
import json import json
import argparse import argparse
def calibrate_camera(imgFolder, chessboardSize, squareSize): def calibrate_camera(imgFolder, chessboardSize, squareSize):
# 设置输出目录 # 设置输出目录
outputFolder = osp.join(imgFolder, "output") outputFolder = osp.join(imgFolder, "output")
@ -37,7 +38,8 @@ def calibrate_camera(imgFolder, chessboardSize, squareSize):
# 查找角点 # 查找角点
ret, corners = cv.findChessboardCorners(gray, (board_w, board_h), None) ret, corners = cv.findChessboardCorners(gray, (board_w, board_h), None)
if ret: if ret:
cv.cornerSubPix(gray, corners, (11, 11), (-1, -1), (cv.TERM_CRITERIA_EPS + cv.TERM_CRITERIA_MAX_ITER, 30, 0.001)) cv.cornerSubPix(gray, corners, (11, 11), (-1, -1),
(cv.TERM_CRITERIA_EPS + cv.TERM_CRITERIA_MAX_ITER, 30, 0.001))
pointsWorld.append(board_grid) pointsWorld.append(board_grid)
pointsPixel.append(corners) pointsPixel.append(corners)
@ -77,6 +79,47 @@ def calibrate_camera(imgFolder, chessboardSize, squareSize):
return mtx, dist return mtx, dist
def undistort_image(img, mtx, dist):
h, w = img.shape[:2]
newcameramtx, roi = cv.getOptimalNewCameraMatrix(mtx, dist, (w, h), 1, (w, h))
dst = cv.undistort(img, mtx, dist, None, newcameramtx)
x, y, w, h = roi
dst = dst[y:y + h, x:x + w]
return dst
def undistort_images(imgFolder, mtx, dist):
imgPaths = []
for extension in ["jpg", "png", "jpeg"]:
imgPaths += glob.glob(osp.join(imgFolder, "*.{}".format(extension)))
if len(imgPaths) == 0:
print("No images found!")
return
outputFolder = osp.join(imgFolder, "undistorted_images")
if not osp.exists(outputFolder):
os.makedirs(outputFolder)
for imgPath in imgPaths:
img = cv.imread(imgPath)
dst = undistort_image(img, mtx, dist)
cv.imwrite(osp.join(outputFolder, osp.basename(imgPath)), dst)
print("Undistorted images saved to: ", outputFolder)
def calibrate_cameras(imgFolder, chessboardSize, squareSize):
mtxs = []
dists = []
for folder in glob.glob(osp.join(imgFolder, "*")):
if not osp.isdir(folder):
continue
mtx, dist = calibrate_camera(folder, chessboardSize, squareSize)
mtxs.append(mtx)
dists.append(dist)
return mtxs, dists
def write_json_data(mtx, dist, outputFolder): def write_json_data(mtx, dist, outputFolder):
data = { data = {
"intrinsic_matrix": mtx.tolist(), "intrinsic_matrix": mtx.tolist(),
@ -85,7 +128,14 @@ def write_json_data(mtx, dist, outputFolder):
with open(osp.join(outputFolder, "calibration.json"), "w") as f: with open(osp.join(outputFolder, "calibration.json"), "w") as f:
json.dump(data, f, indent=4) json.dump(data, f, indent=4)
if __name__ == "__main__":
mtx, dist = calibrate_camera("./test/intri_imgs", (11, 8), 60) if __name__ == "__main__":
write_json_data(mtx, dist, "./test/intri_imgs/output") parser = argparse.ArgumentParser()
parser.add_argument("imgFolder", help="Folder containing images for calibration")
parser.add_argument("--chessboardSize", help="Size of chessboard (rows, cols)", default="11,8")
parser.add_argument("--squareSize", help="Size of square in chessboard", default=60)
args = parser.parse_args()
chessboardSize = tuple(map(int, args.chessboardSize.split(",")))
squareSize = float(args.squareSize)