1. 目标结果 利用tools/create_data.py将会生成三个pkl文件和nuscenes_gt_database文件夹,用于训练和评价。 但是,由于我仅下载了Part1数据集,因此需要对代码进行部分修改。 2. 代码修改 文件:mmdetection3d/tools/data_converter/nuscenes_converter.py函数:_fill_trainval_infos # update for part1_dataset # for...
nuscenes_data_prep( File "tools/create_data.py", line 89, in nuscenes_data_prep create_groundtruth_database(dataset_name, root_path, info_prefix, File "/home/ubuntu/data/mmdetection3d/tools/data_converter/create_gt_database.py", line 219, in create_groundtruth_database dataset = build_da...
# create batch iterator batch_iterator = iter(data_loader) all_epoch_loss = [] print('pass 0') if iteration in stepvalues: step_index += 1 current_lr = current_lr * 0.5 for param_group in optimizer.param_groups: param_group['lr'] = current_lr # load train ...
# separate the two features and use it to plot the data F1 = X_train[:, [0]].reshape(-1, 1) F2 = X_train[:, [1]].reshape(-1, 1) # create a meshgrid xx, yy = np.meshgrid(np.linspace(-10, 10, 200), np.linspace(-10, 10, 200)) # scatter plot plt.scatter(F1, F2)...
此功能将自行车共享系统转变为虚拟传感器网络，可用于感测城市中的机动性。因此，期望通过监视这些数据可以...
calib测试集存储为data_object_calib/testing/calib/xxxxxx.txt,共7518个文件 标定矩阵详情 Tr_velo_to_cam 外参矩阵为,大小为3x4,包含了旋转矩阵 R 和 平移向量 T 将相机的外参矩阵乘以点云坐标即可得到点云在世界坐标系中的坐标P0-P3分别表示4个相机的内参矩阵,或投影矩阵, 大小为3x4。
To accu- rately localize our vehicle, we create a detailed HD map of lidar points in an offline step. While collecting data, we use a Monte Carlo Localization scheme from lidar and odometry information [18]. This method is very robust and we achieve localization errors of ≤ ...
The nuScenes data was captured using a combination of six cameras, one lidar, five radars, GPS, and an inertial measurement sensor. nuTonomy used two Renault Zoe cars with identical sensor layouts to drive in Boston and Singapore. The data was gathered from a research platform and is not in...
python-m pcdet.datasets.nuscenes.nuscenes_dataset--func create_nuscenes_infos \--cfg_file tools/cfgs/dataset_configs/nuscenes_dataset.yaml \--version v1.0-trainval 5. 数据获取新途径 如果觉得数据下载或者创建data infos有难度的,可以考虑使用本人处理好的数据 v1.0-mini v1.0-trainval 数据待更新… ...
"directory_path = os.path.join(current_directory, \"data/sets/nuscenes\")\n", "\n", "# Function to create directory and handle exceptions\n", "def create_directory(path):\n", " try:\n", " os.makedirs(path, exist_ok=True)\n", " print(f\"Directory '{path}' created successfull...