object-detection

I'm training various model heads (HTC, cascade mask-rcnn, etc.) with the CBNetV2 backbone (implementation here) on a custom coco-format dataset with only bboxes. I'm using the following training and testing pipelines:

albu_train_transforms = [
    dict(
        type='ShiftScaleRotate',
        shift_limit=0.0625,
        scale_limit=0.0,
   

There are many links in Kinetics that have expired. As as result, everyone might not be using the same Kinetics dataset. As a reference, the statistics of the Kinetics dataset used in PySlowFast can be found here, https://github.com/facebookresearch/video-nonlocal-net/blob/master/DATASET.md. However, I cannot seem to find similar information for gluoncv. Will you guys be sharing the statistics and

我发现很多人在使用voc格式的数据集时，和我遇到了同样的问题，训练时AP一直为0，
今早，仔细检查后，我也找到了真正的原因，主要是数据加载的地方出现了问题，还是我们自己太不仔细了

解决流程思路： 解决YOLOX训练时AP为0

When running TabularPredictor.fit(), I encounter a BrokenPipeError for some reason.
What is causing this?
Could it be due to OOM error?

Fitting model: XGBoost ...
-34.1179 = Validation root_mean_squared_error score
10.58s = Training runtime
0.03s = Validation runtime
Fitting model: NeuralNetMXNet ...
-34.2849 = Validation root_mean_squared_error score
43.63s =