Nikesh Devkota

Results 17 comments of Nikesh Devkota

The original version of CUDA is not compatible with the GPU I am using in Linux , so it doesn't work in my case.

I will do that and check if there is any improvement. Is there any other way to find the optimal tracking thresholds besides manually changing it with presumption?

Hi, I tried to use Visdom to visualize the training and evaluation metrics as suggested in the documents, but the Visdom server is showing a blank blue screen. ![image](https://github.com/timmeinhardt/trackformer/assets/45029614/386f673a-ab03-4fc3-8fff-8ef140c2646e) I...

![val_eval](https://github.com/timmeinhardt/trackformer/assets/45029614/4ba8d804-c4ff-4122-875c-0d41955d5b97) ![val_loss](https://github.com/timmeinhardt/trackformer/assets/45029614/b69d7272-e944-428a-a0eb-b0173f8fbcee) ![newplot (6)](https://github.com/timmeinhardt/trackformer/assets/45029614/0e3dee0e-86f7-43fc-a81e-8c70d609237e) I managed to load results from visdom. BUt I still can't figure out why the tracking woks on validation data but not the test data. @timmeinhardt

I managed to load val_dataset for tracking during training and then do tracking for test data separately. If you generated COCO annotations from "src/generate_coco_from_mot17.py," for the whole training data and...

I tracked separate cross-validation data during the training phase. After the whole training was completed, I used the optimal MOTA model for tracking separate test data. If your original train...

@insookim43 did you change the code and evaluated the test data?