https://github.com/creatcodebuild/udacity-sdc-project-pitfalls
A collection of pitfalls and tricky parts of SDC projects
https://github.com/creatcodebuild/udacity-sdc-project-pitfalls
Last synced: 9 months ago
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A collection of pitfalls and tricky parts of SDC projects
- Host: GitHub
- URL: https://github.com/creatcodebuild/udacity-sdc-project-pitfalls
- Owner: CreatCodeBuild
- Created: 2017-01-21T23:23:17.000Z (almost 9 years ago)
- Default Branch: master
- Last Pushed: 2017-01-21T23:44:05.000Z (almost 9 years ago)
- Last Synced: 2025-02-15T22:43:01.682Z (10 months ago)
- Size: 8.79 KB
- Stars: 0
- Watchers: 3
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Udacity-SDC-Project-Pitfalls
A collection of pitfalls and tricky parts of SDC projects
I created this document to collect all tricky parts which I found while I was doing projects and which I discovered while I was mentoring other students.
Feel free to add more if you have any by submitting a pull request.
## Find Lane Lines
## Traffic Sign Classifier
## Behavioral Cloning
## Advanced Lane Finding
In the course video [Calibrating Your Camera](https://classroom.udacity.com/nanodegrees/nd013/parts/fbf77062-5703-404e-b60c-95b78b2f3f9e/modules/2b62a1c3-e151-4a0e-b6b6-e424fa46ceab/lessons/40ec78ee-fb7c-4b53-94a8-028c5c60b858/concepts/a30f45cb-c1c0-482c-8e78-a26604841ec0) and the example code in project repo under examples/, we see the following code
```python
# prepare object points, like (0,0,0), (1,0,0), (2,0,0) ....,(6,5,0)
objp = np.zeros((6*9,3), np.float32)
objp[:,:2] = np.mgrid[0:9,0:6].T.reshape(-1,2)
```
mgrid returns a 3-d ndarray, which contains 2 matrices. These 2 matrices are just counting numbers from different dimention. One horizontally(dimension 0), another vertically(dimension 1).
```
>>> mgrid[0:3,0:4]
array([[[0, 0, 0, 0],
[1, 1, 1, 1],
[2, 2, 2, 2]],
[[0, 1, 2, 3],
[0, 1, 2, 3],
[0, 1, 2, 3]]])
```
.T returns the transpose matrix of a ndarray. Please refer to:
1. https://docs.scipy.org/doc/numpy/reference/generated/numpy.ndarray.T.html
2. https://docs.scipy.org/doc/numpy/reference/generated/numpy.ndarray.transpose.html
.reshape reshapes the ndarray. (-1,2) just means "compute the length of this dimension by number of elements / 2"