Comments (1)
Hi @ifoyooo, sorry for the delay. That's strange and may be just a graphical error on the logger side. However, I'll have to check.
Which track are you working on? Can you also send me the script you are using (in a private message if you do not want to disclose your code)?
from clvision-challenge-2022.
Related Issues (20)
- where is the examples.tvdetection.transforms
- Different classes in train/test experiences
- training set of object detection containing bboxes of 0 area HOT 4
- Detection test set all instances have "category_id": 2, "instance_id": "unlabeled" HOT 4
- the challenge dataset download failed.
- What's this repo actually for? HOT 1
- Why track2 demo results AP seems strange? HOT 4
- mandatory metric only generate output of 1 json file for last experience HOT 1
- Track2 Submission Problem: AttributeError: 'list' object has no attribute 'items' HOT 2
- can you provide a result file JSON format? HOT 3
- can you release the metrics of task1-task5 in leadboard? HOT 2
- #track 2: can you release the upper-bound performance of task1-task5? The test set contains 277 categories, while the training set of task1 only has 159 categories, then the upper-bound of task1 is? HOT 2
- #track 2: 'Solutions can exploit a replay buffer containing data coming from up to 3500 training instances.' For example, in task1, can we randomly sample 3500 images from the full training set (ego_objects_challenge_train.json)? HOT 2
- Track3 baseline doesn't work correctly HOT 1
- Track1: Could you release the upper-bound performance(average mAP) during each experience? HOT 3
- Can we use multiple GPUs in training ? or we must use one GPU (RTX 5000 with 16G GPU-memory)? HOT 3
- Can you provide the evaluation server (RTX 5000 with 16G GPU-memory)?
- Can we add augmentation transforms to the eval transformations? HOT 2
- If Using multiple accounts on CodaLab, but the overall number of submissions are less than 20, is ok?
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from clvision-challenge-2022.