hit-haui/model_nottrashcar

End to end model for notTrashCar in 2019 FPT Driverless Car Challenge

End To End model for HAUI.notTrashCar

Model Architecture

• Base on NVIDIA end-to-end CNN

• Summary of the model architectures

_________________________________________________________________
Layer (type)                 Output Shape              Param #
=================================================================
batch_normalization_1 (Batch (None, 66, 200, 3)        264
_________________________________________________________________
conv2d_1 (Conv2D)            (None, 31, 98, 24)        1824
_________________________________________________________________
conv2d_2 (Conv2D)            (None, 14, 47, 36)        21636
_________________________________________________________________
conv2d_3 (Conv2D)            (None, 5, 22, 48)         43248
_________________________________________________________________
conv2d_4 (Conv2D)            (None, 3, 20, 64)         27712
_________________________________________________________________
conv2d_5 (Conv2D)            (None, 1, 18, 64)         36928
_________________________________________________________________
flatten_1 (Flatten)          (None, 1152)              0
_________________________________________________________________
dense_1 (Dense)              (None, 1164)              1342092
_________________________________________________________________
dense_2 (Dense)              (None, 100)               116500
_________________________________________________________________
dense_3 (Dense)              (None, 50)                5050
_________________________________________________________________
dense_4 (Dense)              (None, 10)                510
_________________________________________________________________
dense_5 (Dense)              (None, 2)                 22
=================================================================
Total params: 1,595,786
Trainable params: 1,595,654
Non-trainable params: 132
_________________________________________________________________

Data

• Hiện tại đang lấy dựa trên simulator của udacity, download here
• Chỉ cần tải về giải nén and run python3 main.py.