dataset/KITTI/object/training/image_2/000001.png 2 0.998467 389 181 424 202
dataset/KITTI/object/training/image_2/000001.png 2 0.0448065 512 176 528 187
dataset/KITTI/object/training/image_2/000001.png 3 0.741964 677 165 689 191
dataset/KITTI/object/training/image_2/000002.png 2 0.953033 659 191 699 222
dataset/KITTI/object/training/image_2/000004.png 2 0.998799 280 185 344 215
dataset/KITTI/object/training/image_2/000004.png 2 0.996907 367 183 404 205
dataset/KITTI/object/training/image_2/000004.png 2 0.636475 447 176 473 194
dataset/KITTI/object/training/image_2/000004.png 2 0.0609634 419 176 451 195
dataset/KITTI/object/training/image_2/000004.png 2 0.0403211 404 173 441 195
dataset/KITTI/object/training/image_2/000004.png 3 0.875187 1192 206 1242 330
dataset/KITTI/object/training/image_2/000004.png 3 0.0218598 1217 180 1243 331
dataset/KITTI/object/training/image_2/000005.png 1 0.97717 329 179 359 239
dataset/KITTI/object/training/image_2/000006.png 2 0.999063 508 170 573 211
dataset/KITTI/object/training/image_2/000006.png 2 0.989236 329 172 401 206
dataset/KITTI/object/training/image_2/000006.png 2 0.948657 40 182 221 244
dataset/KITTI/object/training/image_2/000006.png 2 0.744609 605 169 630 188
dataset/KITTI/object/training/image_2/000006.png 2 0.392809 580 169 606 187
dataset/KITTI/object/training/image_2/000006.png 2 0.0207732 534 171 572 201
dataset/KITTI/object/training/image_2/000008.png 1 0.0247923 823 167 832 188
dataset/KITTI/object/training/image_2/000008.png 2 0.999218 883 179 956 239
dataset/KITTI/object/training/image_2/000008.png 2 0.999209 739 168 787 208
dataset/KITTI/object/training/image_2/000008.png 2 0.998607 861 173 888 194
dataset/KITTI/object/training/image_2/000008.png 2 0.9974 945 206 1237 375
dataset/KITTI/object/training/image_2/000008.png 2 0.996834 331 172 615 359
dataset/KITTI/object/training/image_2/000008.png 2 0.994989 595 174 717 262
dataset/KITTI/object/training/image_2/000008.png 2 0.967459 767 170 803 201
dataset/KITTI/object/training/image_2/000008.png 2 0.963168 607 164 696 228
dataset/KITTI/object/training/image_2/000008.png 2 0.958746 3 173 412 370
dataset/KITTI/object/training/image_2/000008.png 2 0.621929 803 165 826 183
dataset/KITTI/object/training/image_2/000015.png 1 0.990515 1000 145 1100 319
dataset/KITTI/object/training/image_2/000015.png 1 0.972727 668 172 686 226
dataset/KITTI/object/training/image_2/000015.png 1 0.930344 689 170 709 225
dataset/KITTI/object/training/image_2/000015.png 1 0.482258 849 216 902 335
dataset/KITTI/object/training/image_2/000015.png 1 0.384433 538 173 558 227
dataset/KITTI/object/training/image_2/000015.png 1 0.0424191 928 167 1109 356
dataset/KITTI/object/training/image_2/000015.png 1 0.0405976 913 177 981 290
dataset/KITTI/object/training/image_2/000015.png 1 0.0246332 612 173 623 205
dataset/KITTI/object/training/image_2/000015.png 1 0.0220622 676 171 699 226
dataset/KITTI/object/training/image_2/000015.png 2 0.992571 6 198 420 374
dataset/KITTI/object/training/image_2/000015.png 2 0.012921 152 208 382 302
dataset/KITTI/object/training/image_2/000015.png 3 0.9551 907 174 985 298
dataset/KITTI/object/training/image_2/000015.png 3 0.162089 836 210 914 342
dataset/KITTI/object/training/image_2/000015.png 3 0.0908173 832 195 975 363
dataset/KITTI/object/training/image_2/000015.png 3 0.0583361 538 172 559 227
dataset/KITTI/object/training/image_2/000015.png 3 0.0365619 668 174 686 226
dataset/KITTI/object/training/image_2/000015.png 3 0.0153579 876 177 1111 347
dataset/KITTI/object/training/image_2/000019.png 2 0.999772 746 184 934 314
dataset/KITTI/object/training/image_2/000019.png 2 0.996103 550 183 575 204
dataset/KITTI/object/training/image_2/000019.png 2 0.033231 -11 115 364 369
dataset/KITTI/object/training/image_2/000019.png 2 0.0229316 628 183 657 210
dataset/KITTI/object/training/image_2/000019.png 2 0.0205365 637 176 681 215
dataset/KITTI/object/training/image_2/000019.png 2 0.0104083 626 183 646 203
dataset/KITTI/object/training/image_2/000019.png 3 0.0100861 748 184 932 312
dataset/KITTI/object/training/image_2/000020.png 2 0.999539 684 180 805 261
dataset/KITTI/object/training/image_2/000021.png 1 0.0272829 1100 179 1242 372
dataset/KITTI/object/training/image_2/000021.png 2 0.99964 364 176 508 272
dataset/KITTI/object/training/image_2/000021.png 2 0.999152 729 169 787 215
dataset/KITTI/object/training/image_2/000021.png 2 0.996924 536 168 593 217
dataset/KITTI/object/training/image_2/000021.png 2 0.965874 450 163 554 246
dataset/KITTI/object/training/image_2/000021.png 2 0.925264 715 164 767 207
dataset/KITTI/object/training/image_2/000021.png 2 0.442659 564 169 603 205
dataset/KITTI/object/training/image_2/000021.png 2 0.28788 589 166 616 189
dataset/KITTI/object/training/image_2/000021.png 3 0.984298 1089 171 1244 378
dataset/KITTI/object/training/image_2/000023.png 2 0.998844 373 181 411 203
dataset/KITTI/object/training/image_2/000023.png 2 0.238451 508 176 524 188
dataset/KITTI/object/training/image_2/000023.png 3 0.783398 678 166 691 191
dataset/KITTI/object/training/image_2/000024.png 2 0.999641 516 165 565 199
dataset/KITTI/object/training/image_2/000024.png 2 0.998784 442 167 478 195
dataset/KITTI/object/training/image_2/000024.png 2 0.862621 425 164 450 184
dataset/KITTI/object/training/image_2/000024.png 2 0.0120616 455 162 472 180
dataset/KITTI/object/training/image_2/000025.png 1 0.224212 648 173 658 203
dataset/KITTI/object/training/image_2/000025.png 2 0.999282 724 182 803 253
dataset/KITTI/object/training/image_2/000025.png 2 0.99921 561 174 613 218
dataset/KITTI/object/training/image_2/000025.png 2 0.998898 347 183 532 313
dataset/KITTI/object/training/image_2/000025.png 2 0.995231 684 177 708 198
dataset/KITTI/object/training/image_2/000025.png 2 0.982 20 184 346 374
dataset/KITTI/object/training/image_2/000025.png 2 0.962999 398 173 515 217
dataset/KITTI/object/training/image_2/000025.png 2 0.947288 592 177 628 209
dataset/KITTI/object/training/image_2/000025.png 2 0.942876 887 211 1230 371
dataset/KITTI/object/training/image_2/000025.png 2 0.932495 713 185 765 234
dataset/KITTI/object/training/image_2/000025.png 2 0.737589 627 171 647 189
dataset/KITTI/object/training/image_2/000025.png 2 0.207249 379 176 517 255
dataset/KITTI/object/training/image_2/000025.png 3 0.395252 648 173 658 202
dataset/KITTI/object/training/image_2/000025.png 3 0.041679 391 173 516 228
dataset/KITTI/object/training/image_2/000027.png 2 0.297322 22 124 325 302
dataset/KITTI/object/training/image_2/000027.png 2 0.0838345 590 181 606 195
dataset/KITTI/object/training/image_2/000028.png 1 0.999264 142 153 203 309
dataset/KITTI/object/training/image_2/000031.png 2 0.999256 706 181 853 277
dataset/KITTI/object/training/image_2/000031.png 2 0.99882 660 180 712 222
dataset/KITTI/object/training/image_2/000031.png 2 0.998431 329 180 487 295
dataset/KITTI/object/training/image_2/000031.png 2 0.994839 789 173 1025 342
dataset/KITTI/object/training/image_2/000031.png 2 0.868807 1031 201 1232 369
dataset/KITTI/object/training/image_2/000031.png 2 0.781745 619 171 651 200
dataset/KITTI/object/training/image_2/000031.png 2 0.497875 555 178 574 194
dataset/KITTI/object/training/image_2/000031.png 3 0.0191964 1032 193 1241 370
dataset/KITTI/object/training/image_2/000033.png 2 0.997081 -3 191 232 325
dataset/KITTI/object/training/image_2/000033.png 2 0.357291 581 175 599 192
dataset/KITTI/object/training/image_2/000033.png 2 0.196851 559 173 575 187
dataset/KITTI/object/training/image_2/000033.png 2 0.0109006 4 195 172 279
dataset/KITTI/object/training/image_2/000035.png 1 0.532169 654 167 670 216
dataset/KITTI/object/training/image_2/000035.png 1 0.0743001 660 166 693 219
dataset/KITTI/object/training/image_2/000035.png 1 0.0279583 140 176 162 223
dataset/KITTI/object/training/image_2/000035.png 1 0.0271136 662 167 673 213
dataset/KITTI/object/training/image_2/000035.png 1 0.0144575 668 166 681 214
dataset/KITTI/object/training/image_2/000035.png 1 0.0107758 427 174 436
KITTI数据集三维可视化代码
4星 · 超过85%的资源 需积分: 0 61 浏览量
更新于2019-04-02
3
收藏 702KB RAR 举报
KITTI数据集三维可视化代码,You can run python kitti/kitti_object.py to see whether data is downloaded and stored properly. If everything is fine, you should see image and 3D point cloud visualizations of the data.
疯子_Zhang
- 粉丝: 123
- 资源: 4
最新资源
- C#做的串口RS232通信程序
- Fpga设计 自动机 Verilog语言,具有真正投币功能,具有远程遥控功能,具有选择功能等 提供完整的代码,仿真,实物
- 永磁同步电机(pmsm,全速度切无位置传感器控制(高速可以是超螺旋滑模) 低速可以是脉振高频方波注入,if开环等仿真模型 切有加权切和双坐标切 单个链接只有一种 可以送单独卡尔曼滤波或者扩张状态
- c#编写2的串口通讯工具
- 基于改进粒子群算法的微电网多目标优化调度 有传统算法和改进算法对比,微电网优化调度作为智能电网优化的重要组成部分,对降低能耗、环境污染具有重要意义 微电网的发展目标既要满足电力供应的基本需求,又要提
- mes制造执行系统,个人学习整理,仅供参考
- 矿大信息安全与管理工程代码
- 前端分析-2023071100789
- 前端分析-2023071100789
- 华为 ONT使能2.0.exe;r019-allShell
- 智能优化算法:无源网络、求最优乘车舒适度
- MySQL性能优化-存储引擎.html
- ningyaozhongguogeshui
- 一个使用 Python 的 tkinter 库来创建图形界面的出租车计价器源码,包含了基本的输入行程公里数和等待时间,然后计算并显示总费用的功能
- No.1110 基于三菱PLC和组态王组态的注塑机控制系统的 带解释的梯形图程序,接线图原理图图纸,io分配,组态画面
- 基于51单片机的多点测温系统 适用5个ds18b20温度传感器,实时检测每个传感器的温度,并显示在LCD1602上面 包括protues仿真+代码