From d893b217ef7573340757c120c8ef718e901ce0e8 Mon Sep 17 00:00:00 2001 From: Kai-46 Date: Fri, 13 Nov 2020 19:43:50 -0500 Subject: [PATCH] add camera inspector --- README.md | 7 + camera_inspector/inspect_epipolar_geometry.py | 80 + camera_inspector/screenshot.png | Bin 0 -> 1255680 bytes camera_inspector/train/cam_dict_norm.json | 9494 +++++++++++++++++ camera_inspector/train/rgb/000001.png | Bin 0 -> 895174 bytes camera_inspector/train/rgb/000005.png | Bin 0 -> 891582 bytes 6 files changed, 9581 insertions(+) create mode 100644 camera_inspector/inspect_epipolar_geometry.py create mode 100644 camera_inspector/screenshot.png create mode 100644 camera_inspector/train/cam_dict_norm.json create mode 100644 camera_inspector/train/rgb/000001.png create mode 100644 camera_inspector/train/rgb/000005.png diff --git a/README.md b/README.md index e5eaf45..d67aadc 100644 --- a/README.md +++ b/README.md @@ -75,3 +75,10 @@ Check `camera_visualizer/visualize_cameras.py` for visualizing cameras in 3D. It +## Inspect camera parameters +You can use `camera_inspector/inspect_epipolar_geometry.py` to inspect if the camera paramters are correct and follow the Opencv convention assumed by this codebase. The script creates a viewer for visually inspecting epipolar geometry like below: for key points in the top image, it plots their correspoinding epipolar lines in the bottom image. If the epipolar geometry does not look correct in this visualization, it's likely that there are some issues with the camera parameters. + + + + + diff --git a/camera_inspector/inspect_epipolar_geometry.py b/camera_inspector/inspect_epipolar_geometry.py new file mode 100644 index 0000000..21121fa --- /dev/null +++ b/camera_inspector/inspect_epipolar_geometry.py @@ -0,0 +1,80 @@ +import cv2 +import numpy as np +import os +import json + + +def skew(x): + return np.array([[0, -x[2], x[1]], + [x[2], 0, -x[0]], + [-x[1], x[0], 0]]) + + +def two_view_geometry(intrinsics1, extrinsics1, intrinsics2, extrinsics2): + relative_pose = extrinsics2.dot(np.linalg.inv(extrinsics1)) + R = relative_pose[:3, :3] + T = relative_pose[:3, 3] + tx = skew(T) + E = np.dot(tx, R) + F = np.linalg.inv(intrinsics2[:3, :3]).T.dot(E).dot(np.linalg.inv(intrinsics1[:3, :3])) + + return E, F, relative_pose + + +def drawpointslines(img1, pts1, img2, lines2, colors): + h, w = img2.shape[:2] + # img1 = cv2.cvtColor(img1, cv2.COLOR_GRAY2BGR) + # img2 = cv2.cvtColor(img2, cv2.COLOR_GRAY2BGR) + print(pts1.shape, lines2.shape, colors.shape) + for p, l, c in zip(pts1, lines2, colors): + c = tuple(c.tolist()) + img1 = cv2.circle(img1, tuple(p), 5, c, -1) + + x0, y0 = map(int, [0, -l[2]/l[1]]) + x1, y1 = map(int, [w, -(l[2]+l[0]*w)/l[1]]) + img2 = cv2.line(img2, (x0, y0), (x1, y1), c, 1, lineType=cv2.LINE_AA) + return img1, img2 + + +def inspect(img1, K1, W2C1, img2, K2, W2C2): + E, F, relative_pose = two_view_geometry(K1, W2C1, K2, W2C2) + + orb = cv2.ORB_create() + kp1 = orb.detect(cv2.cvtColor(img1, cv2.COLOR_BGR2GRAY), None)[:20] + pts1 = np.array([[int(kp.pt[0]), int(kp.pt[1])] for kp in kp1]) + + lines2 = cv2.computeCorrespondEpilines(pts1.reshape(-1,1,2), 1, F) + lines2 = lines2.reshape(-1, 3) + + colors = np.random.randint(0, high=255, size=(len(pts1), 3)) + + img1, img2 = drawpointslines(img1, pts1, img2, lines2, colors) + + im_to_show = np.concatenate((img1, img2), axis=0) + # down sample + h, w = im_to_show.shape[:2] + im_to_show = cv2.resize(im_to_show, (int(0.5*w), int(0.5*h)), interpolation=cv2.INTER_AREA) + cv2.imshow('epipolar geometry', im_to_show) + cv2.waitKey(0) + cv2.destroyAllWindows() + + +if __name__ == '__main__': + base_dir = './' + + img_dir = os.path.join(base_dir, 'train/rgb') + cam_dict_file = os.path.join(base_dir, 'train/cam_dict_norm.json') + img_name1 = '000001.png' + img_name2 = '000005.png' + + cam_dict = json.load(open(cam_dict_file)) + img1 = cv2.imread(os.path.join(img_dir, img_name1)) + K1 = np.array(cam_dict[img_name1]['K']).reshape((4, 4)) + W2C1 = np.array(cam_dict[img_name1]['W2C']).reshape((4, 4)) + + img2 = cv2.imread(os.path.join(img_dir, img_name2)) + K2 = np.array(cam_dict[img_name2]['K']).reshape((4, 4)) + W2C2 = np.array(cam_dict[img_name2]['W2C']).reshape((4, 4)) + + inspect(img1, K1, W2C1, img2, K2, W2C2) + diff --git a/camera_inspector/screenshot.png b/camera_inspector/screenshot.png new file mode 100644 index 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