Practical Autonomous projects in Python
Lane detection
traffic sign recognition
I. load the complete dataset with labels
II. transform the size of the image into 32x32
III. build the Convolutional Neural Netwrok
IV. train the model
V. testing with the image found on the websites
Sample image
Image in size of 32x32 (RGB)
Image in size of 32x32 (HSV)
Sample output
| label # | labelname | softmax Prob |
|---|---|---|
| 14 | Stop | 0.998944 |
| 33 | Turn right ahead | 0.000532 |
| 29 | Bicycles crossing | 0.000311 |
| 34 | Turn left ahead | 0.000118 |
| 36 | Go straight or right | 0.000095 |