This repository is for meani.mo project users.
| argument | shortened | default | description | example |
|---|---|---|---|---|
--drone_path |
-d |
no default | drone image path for loading | -d ./images/drone1.bmp |
--lidar_path |
-l |
no default | lidar image path for loading | -l ./images/lidar.bmp |
--dst_path |
-o |
no default | output image path for saving | -o ./result.bmp |
--experiment_num |
-e |
no default | Experiment Number |
-e 18 |
--drone_folder_path |
-s |
no default | Path in which drone image folder is located | -s ./CASE_1/images |
--pcl_path |
-l |
no default | Path in which lidar image is located | -l ./CASE_1/images |
--drone_mask_path |
-m |
no default | Path in which mask image is located | -m ./CASE_1/mask(predict) |
--find_good_match |
none | True | ||
--pcl_mask |
none | True | Applying binary mask to a pcl image | |
--ransac_maxIters |
none | 100000 | The maximum number of RANSAC iterations, 2000 is the maximum it can be. | |
--ransac_confidence |
none | 0.995 | Confidence level, between 0 and 1 (default:0.995). | |
--SIFT_nfeatures |
none | 0 | The number of best features to retain. The features are ranked by their scores (default:0) | |
--SIFT_nOctaveLayers |
none | 3 | The number of layers in each octave. 3 is the value used in D (default=3).' | |
--SIFT_contrastThreshold |
none | 0.04 | The contrast threshold used to filter out weak features in semi-uniform (low-contrast) regions. | |
--SIFT_edgeThreshold |
none | 50 | The threshold used to filter out edge-like features. | |
--SIFT_sigma |
none | 1.6 | The sigma of the Gaussian applied to the input image at the octave #0. |
|--debug|none|True|Imshow Intermediate Results||
|--save_video|none|True|Record result video for making GIF||
|--save_csv|none|True|Save csv||
|--save_masked_pcl|none|True|Save masked pcl image||
|--save_masked_drone|none|True|Save masked drone image||
|--save_matching|none|True|Save matching images||
|--save_keypoints|none|True|Save keypoints images||
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