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2024-10-29 12:22:35 | WARNING | yolox.utils.checkpoint:18 - head.cls_convs2.1.0.bn.running_mean is not in the ckpt. Please double check and see if this is desired.
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Hello, I am trying to reproduce this work on my custom dataset. I have trained focal_large_base_vid model as base detector and ran python tools/vid_train.py -f ./exps/yolov++/v++_FocalLarge_decoupleReg.py -c ./base_det_56.pth --fp16 using the base detector but I am getting the log from above that the checkpoint does not fit the model. I am also getting bad results:
per class AP:
| class | AP | class | AP | class | AP |
|:----------|:------|:--------|:-----|:--------|:-----|
| Crack | 0.000 | Debris | nan | Break | nan |
| Corrosion | nan | | | | |
per class AR:
| class | AR | class | AR | class | AR |
|:----------|:------|:--------|:-----|:--------|:-----|
| Crack | 0.000 | Debris | nan | Break | nan |
| Corrosion | nan | | | | |
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.000
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.000
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.000
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.000
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.000
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.000
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = -1.000
Hello, I am trying to reproduce this work on my custom dataset. I have trained
focal_large_base_vid
model as base detector and ranpython tools/vid_train.py -f ./exps/yolov++/v++_FocalLarge_decoupleReg.py -c ./base_det_56.pth --fp16
using the base detector but I am getting the log from above that the checkpoint does not fit the model. I am also getting bad results:Please advise on how to fix this, thank you!