From 7953f91a957a2fbf9784c7f7721585c907f3a688 Mon Sep 17 00:00:00 2001 From: codyreading Date: Sun, 29 Jun 2025 09:37:43 +0100 Subject: [PATCH 1/2] Updated CaDDN weights download link --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 779571acb..185948a87 100644 --- a/README.md +++ b/README.md @@ -159,7 +159,7 @@ Selected supported methods are shown in the below table. The results are the 3D | [Voxel R-CNN (Car)](tools/cfgs/kitti_models/voxel_rcnn_car.yaml) | ~2.2 hours| 84.54 | - | - | [model-28M](https://drive.google.com/file/d/19_jiAeGLz7V0wNjSJw4cKmMjdm5EW5By/view?usp=sharing) | | [Focals Conv - F](tools/cfgs/kitti_models/voxel_rcnn_car_focal_multimodal.yaml) | ~4 hours| 85.66 | - | - | [model-30M](https://drive.google.com/file/d/1u2Vcg7gZPOI-EqrHy7_6fqaibvRt2IjQ/view?usp=sharing) | || -| [CaDDN (Mono)](tools/cfgs/kitti_models/CaDDN.yaml) |~15 hours| 21.38 | 13.02 | 9.76 | [model-774M](https://drive.google.com/file/d/1OQTO2PtXT8GGr35W9m2GZGuqgb6fyU1V/view?usp=sharing) | +| [CaDDN (Mono)](tools/cfgs/kitti_models/CaDDN.yaml) |~15 hours| 21.38 | 13.02 | 9.76 | [model-774M](https://www.icloud.com/iclouddrive/035Sje2eSDpnQv20kk74bNE_A#caddn%5Fpcdet) | ### Waymo Open Dataset Baselines We provide the setting of [`DATA_CONFIG.SAMPLED_INTERVAL`](tools/cfgs/dataset_configs/waymo_dataset.yaml) on the Waymo Open Dataset (WOD) to subsample partial samples for training and evaluation, From 97225acac2556996755c63257a618a02525e3ee8 Mon Sep 17 00:00:00 2001 From: codyreading Date: Sun, 29 Jun 2025 09:51:56 +0100 Subject: [PATCH 2/2] Updated depth map link --- docs/GETTING_STARTED.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/GETTING_STARTED.md b/docs/GETTING_STARTED.md index 9bc558da9..c473d4f3a 100644 --- a/docs/GETTING_STARTED.md +++ b/docs/GETTING_STARTED.md @@ -9,7 +9,7 @@ Currently we provide the dataloader of KITTI, NuScenes, Waymo, Lyft and Pandaset ### KITTI Dataset * Please download the official [KITTI 3D object detection](http://www.cvlibs.net/datasets/kitti/eval_object.php?obj_benchmark=3d) dataset and organize the downloaded files as follows (the road planes could be downloaded from [[road plane]](https://drive.google.com/file/d/1d5mq0RXRnvHPVeKx6Q612z0YRO1t2wAp/view?usp=sharing), which are optional for data augmentation in the training): -* If you would like to train [CaDDN](../tools/cfgs/kitti_models/CaDDN.yaml), download the precomputed [depth maps](https://drive.google.com/file/d/1qFZux7KC_gJ0UHEg-qGJKqteE9Ivojin/view?usp=sharing) for the KITTI training set +* If you would like to train [CaDDN](../tools/cfgs/kitti_models/CaDDN.yaml), download the precomputed [depth maps](https://www.icloud.com/iclouddrive/0fdSov6vL7HINa6S6x0ZKxKUg#depth%5F2) for the KITTI training set * NOTE: if you already have the data infos from `pcdet v0.1`, you can choose to use the old infos and set the DATABASE_WITH_FAKELIDAR option in tools/cfgs/dataset_configs/kitti_dataset.yaml as True. The second choice is that you can create the infos and gt database again and leave the config unchanged. ```