Jaedong Hwang
Jaedong Hwang
Fix `train/lr` logging which was `accuracies.avg` not `current_lr` on Tensorboard.
Hi, I have been trying to achieve published results using this library. However, I found some issues to follow Section E in Appendix. Could you tell me how to run...
When I tested some image, I got this error ``` [libprotobuf WARNING google/protobuf/io/coded_stream.cc:505] Reading dangerously large protocol message. If the message turns out to be larger than 1073741824 bytes, parsing...
I have a problem that when iteration increases, the images have lots of noise. How to solve this problem. Each images are 20999, 41999, 71999 iteration.   ![Uploading samples_0_71999.png…]()
Related to #1
Hi, Thank you for sharing your code. I think there is a bug in https://github.com/ActiveVisionLab/DualRC-Net/blob/a158453151b0455f58eefd38772e935656b8e958/lib/tools.py#L144-L146 L144 should be move to after L146. Thank you.
I have a similar problem to #3204. Unlike the issue, I am currently using 32 channels. ```python3 recording = se.BinaryRecordingExtractor(file_paths=[path], sampling_frequency=30000, num_channels=32, dtype='int16') probe = generate_linear_probe(num_elec=32, ypitch=100.0, contact_shapes="circle", contact_shape_params={"radius":5}) probe.set_device_channel_indices(np.arange(recording.get_num_channels()))...