iftimie / chauffeurnet Goto Github PK

Hi, @Iftimie
Thank you for sharing the code.
I have two issues：
（1）What dataset did you use? Is the dataset from Waymo available? And can you share the dataset link to us？
（2）I found a issue when I run “python main.py”.
“size mismatch for agent_rnn.waypoint_predictor.conv1.0.weight: copying a param with shape torch.Size([1, 32, 3, 3]) from checkpoint, the shape in current model is torch.Size([3, 32, 3, 3])”.
Maybe caused by ChauffeyrNet/network/models/SimpleConv.py
line 97: self.conv1 = self.conv_block(Config.rnn_num_channels,3)
The model size between pretrained model and defined model are different. I don't know if I missed something.
So can you help me, thanks very much.

I modified the network and trained a new network. Now I want to use the main.py file to test it. But it wants pkl file. Why does it need data file? When I set the record=True to create a pkl file it says that I have to drive but the GUI doesn't show anything. I don't know why should I gather data. I used your data file and trained the model.

Thanks

What is the sequence of 6 input matrices in the field of 'data' in the dataset? I mean the inputs and the shape of them. The size of the input in every batch is something like [64, 6, 144, 192] and when I plot it, there 6 different inputs.
Did you use a grayscale image for roadmap? I cannot differentiate between the second and third frames.
It would be great if you can explain a little about 'future_poses_regr_offset' and 'future_penalty_maps' in the dataset.

Thank you

As mentioned above.

please share a copy, sir, please!

Kindly share the dataset which has been used

Hi, the google drive link of the dataset is invalid, would you mind share another link? Thanks a lot!