Chapter 2 Magic coins example. magic_coins1.py Chapter 3 Favourite sports. favourite_sports.py Furniture placeholder. furniture_placeholder.py A list of lists. list_of_lists.py A letter from Malcolm Dithering dithering_letter.py Escaping quotes quot
Spellchecking Prerequisites, Goals, and Outcomes Prerequisites: Students should have mastered the following prerequisite skills. • Hash Tables - Understanding of the concept of a recursive function • Inheritance - Enhancing an existing data structur
数据结构第16次作业，hash表 Spellchecking Prerequisites, Goals, and Outcomes Prerequisites: Students should have mastered the following prerequisite skills. • Hash Tables - Understanding of the concept of a recursive function • Inheritance - Enhancing an exist
The Hands-Free Profile (HFP) 1.7.1 specification defines a set of functions such that a Mobile Phone can be used in conjunction with a Hands-Free device (e.g., installed in the car or represented by a wearable device such as a headset), with a Bluet
uci的车型数据库
1. Title: Car Evaluation Database
2. Sources:
(a) Creator: Marko Bohanec
(b) Donors: Marko Bohanec (marko.bohanecijs.si)
Blaz Zupan (blaz.zupanijs.si)
(c) Date: June, 1997
3. Past Usage:
The h
刚买的资源包 价值 $299.99 ，需要的朋友赶快下载吧
（友情提醒，仅供学习研究，商业用途移步AssetStore购买）
OVER 1,800 Detailed prefabs are included with this pack.
Modular sections are easy to piece together in a variety of combinations.
- All Buildings have enterable Interiors!
- Mod
由于 csdn 对文件大小的限制,故分两个文件上传,该资源只是第一个.
完整数据集压缩包1.7G,解压后7.0G,分为modelnet40_normal_resampled_1.zip(908.3M)和modelnet40_normal_resampled_2.zip(796.8M).
modelnet40_normal_resampled_1.zip包括以下类别和文件:
airplane
bathtub
bed
bench
bookshelf
bottle
bowl
car
chair
con
Sensor Fusion Self-Driving Car Course，优达学城自动驾驶课程by combing lidar's high resoultion imaging with radar's ability to measure velocity of objects we can get a better understanding of the sorrounding environment than we could using one of the sensors alo
unity汽车智能AI系统ISmart - A Smart Car A.I 1.4
所支持的Unity版本:5.6.1 及以上版本
ISmart gives you the power to create very easy smart cars!
Use the top drop-down menu to provide options for creating vehicles with multiple axle types and behaviors, such as sports,
YOLO（“您只看一次”）是一种流行的算法，因为它不仅具有很高的准确性，而且还可以实时运行，几乎每秒可以记录45帧。数据集包含所有视图中的汽车媒体。
sample_submission.csv
train_solution_bounding_boxes (1).csv
Car Object Detection_datasets..txt
Car Object Detection_datasets..zip
