Gary Chan

Results 56 comments of Gary Chan

![Screenshot from 2019-10-06 14-52-13](https://user-images.githubusercontent.com/6770853/66265456-52bebf80-e849-11e9-8093-eb160ac7a1a8.png) + **The Green Boxes** are the segmentation result after tracking help. + **The Dark Green Boxes** are the internal tracking-help predicted result. ### Could we keep...

## How to download? 1. Search Dataset on [KiTTI's Raw Data](http://www.cvlibs.net/datasets/kitti/raw_data.php) 2. Recommend to download using [XunLei](https://www.xunlei.com/), for example ![image](https://user-images.githubusercontent.com/6770853/51081161-48d9b700-1724-11e9-89bb-1c4d2274734c.png) + [2011_09_26_drive_0005's synced+rectified data](https://s3.eu-central-1.amazonaws.com/avg-kitti/raw_data/2011_09_26_drive_0005/2011_09_26_drive_0005_sync.zip) + [2011_09_26_drive_0005's calibration](https://s3.eu-central-1.amazonaws.com/avg-kitti/raw_data/2011_09_26_calib.zip) + [2011_09_26_drive_0005's tracklets](https://s3.eu-central-1.amazonaws.com/avg-kitti/raw_data/2011_09_26_drive_0005/2011_09_26_drive_0005_tracklets.zip)

![image](https://user-images.githubusercontent.com/6770853/35318812-fae038f8-0117-11e8-90dc-b9e3f1bf30c2.png) ## Coordinate Systems ![image](https://user-images.githubusercontent.com/6770853/40600551-72fcb64a-6284-11e8-9b7e-eba79835960e.png)

![image](https://user-images.githubusercontent.com/6770853/38764901-5c8d86d0-3fea-11e8-9074-1b4c920aaef1.png)

## [CSDN: KITTI数据集简介与使用](https://blog.csdn.net/solomon1558/article/details/70173223)

> Teichman A, Levinson J, Thrun S. Towards 3D object recognition via classification of arbitrary object tracks[C]//Robotics and Automation (ICRA), 2011 IEEE International Conference on. IEEE, 2011: 4034-4041. ![image](https://user-images.githubusercontent.com/6770853/36709699-24300ab0-1bb4-11e8-9e90-345e50f5974f.png) ![image](https://user-images.githubusercontent.com/6770853/36709725-45d4dfd8-1bb4-11e8-9175-b4dbc2e7815e.png)

## 计算precision > ![image](https://user-images.githubusercontent.com/6770853/39692839-adfb0ac4-5214-11e8-8491-b49ae89886b5.png) ## 计算recall > ![image](https://user-images.githubusercontent.com/6770853/39692868-c2d69954-5214-11e8-929b-8c4d5fe60a86.png)

## [AP计算由来](https://github.com/bostondiditeam/kitti/wiki/Evaluation-Metric) ![image](https://user-images.githubusercontent.com/6770853/39695006-b8ae51e0-521b-11e8-868b-176da301494c.png) + Let us understand how all this makes sense. Lets say you built an algorithm that is extremely efficient at detecting the back of the cars. Such...

## [AP 计算公式](https://blog.csdn.net/weixin_35653315/article/details/79669601) ![image](https://user-images.githubusercontent.com/6770853/39695626-d63e936c-521d-11e8-87b1-9f65c4b56574.png) ```cpp vector getThresholds(vector& v, double n_groundtruth) { // holds scores needed to compute N_SAMPLE_PTS recall values vector t; // sort scores in descending order // (highest...

## 借助Ground Truth's IoU Overlap计算TP、FP > For `cars` we require an 3D bounding box overlap of **70%**, while for `pedestrians` and `cyclists` we require a 3D bounding box overlap of...