Aditya Ardiya

Results 18 comments of Aditya Ardiya

Hi @fmassa, I'm also here for CRAFTING A MULTI-TASK CNN FOR VIEWPOINT ESTIMATION. I tried to load Pascal3D dataset using your preliminary release, however the format seems to be different;...

@traversaro Thank you for your interest. You can also check out our notebook interactively via binder. here is example interactive notebook for the file you mentioned https://mybinder.org/v2/gh/rapyuta-robotics/jupyter_ros_utils/HEAD?filepath=cpp%2Fnotebooks%2Fpcl-1.10.ipynb

@traversaro For C++ stuff, only `boost`, `xeus-cling`, and `xwidgets` are installed by conda. line in Dockerfile: [https://github.com/rapyuta-robotics/jupyter_ros_utils/blob/main/Dockerfile#L31](https://github.com/rapyuta-robotics/jupyter_ros_utils/blob/main/Dockerfile#L31) While reason for xeus-cling and xwidgets are straightforward. I was having issue boost...

I got similar problem with my own .onnx. I compiled the code with debug mode and tried to convert ONNX yolov3.onnx and I got this error ```gdb #0 __GI_raise (sig=sig@entry=6)...

I was calibrating with 4.6.0 and 8x11 board charuco board and always got huge reprojection error. This bug is not easy to find. I downgraded the opencv to 4.5.*, hope...

Could you elaborate what are "not that good"? Anyway, I found some weird stuff in your code: 1. Layer fc1 doesn't actually contain fully connected layer 2. You show the...

If that's the case, are you sure that the model already converge? 1. Well, it depends on the dataset, so you need to try. Usually either 1 fc or 2...

Hi @Ojasvi-97 can you take a look at https://github.com/ardiya/siamesenetwork-tensorflow/blob/master/dataset.py#L41? I hope it's a good starting point for training your own dataset

Hi @lillythomas, to train on your own dataset, you'll need to change dataset.py, or https://github.com/ardiya/siamesenetwork-tensorflow/blob/master/dataset.py#L31-L48 in specific. next_batch function needs to return a list of pair images and list of...

Ah yeah sorry @lillythomas, at that time I want to make the ratio between positive and negative example to be 1:1. It includes repeating the positive example by 45 times...