yin90m
yin90m
/ ipm.py
Created
January 16, 2019 03:40
— forked from walkerning/ipm.py
Inverse perspective transform for lane detection
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| # -*- coding: utf-8 -*- | |
| import numpy as np | |
| class IPM(object): | |
| """ | |
| Inverse perspective mapping to a bird-eye view. Assume pin-hole camera model. | |
| There are detailed explanation of every step in the comments, and variable names in the code follow these conventions: | |
| `_c` for camera coordinates | |
| `_w` for world coordinates | |
| `uv` for perspective transformed uv 2d coordinates (the input image) |
yin90m
/ srds_edge.png
Created
December 11, 2018 04:15
— forked from JBed/srds_edge.png
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| from keras.models import Sequential | |
| from keras.layers.core import Dense, Dropout, Activation, Flatten | |
| from keras.layers.convolutional import Convolution2D, MaxPooling2D | |
| from keras.layers.normalization import BatchNormalization | |
| #AlexNet with batch normalization in Keras | |
| #input image is 224x224 | |
| model = Sequential() | |
| model.add(Convolution2D(64, 3, 11, 11, border_mode='full')) |