-
### Expected results
Training process should run well.
### Actual results
Multi-GPU training process stucks randomly in somewhere and one or more gpu run on100% utility with low power usage.
…
-
I have 4 GTX 1080Ti on one machine, but I only want to use No.0,2,3 of them, leaving No.1 to others. So I use CUDA_VISIBLE_DEVICES=0,2,3 in my command and I also changed the config file to NUM_GPUS:3.…
-
### Where and What?
At the Code for the default_classification_model ([retinanet.py#L66](https://github.com/fizyr/keras-retinanet/blob/078e12d87ecc9422f525965c0dc1a9478117c480/keras_retinanet/mode…
-
hello,
I am getting the bbox loss 0 at every iteration.
Here is the stats of one iteration:
json_stats: {"eta": "3 days, 6:51:17", "fl_fpn3": 0.000000, "fl_fpn4": 0.000000, "fl_fpn5": 0.000000, "…
-
in some cases the bbox loss on top layer give 0 which I guess is due to lack of positive samples but at that time the focal loss value is still a positive number. Shouldn't it also be zero?
I pasted …
-
When i training retinanet , if i set IMS_PER_BATCH: 2 , it just use 1631MB memory。
logs like :
I0419 19:38:00.144428 30279 context_gpu.cu:305] GPU 0: 1631 MB
I0419 19:38:00.144462 30279 context…
-
While I am trying to run the train_net.py on my own dataset by using retinanet model and getting the following error. I notice there are many changes being incorporated into the repository.
Traceback…
-
Hi, first of all, thanks for releasing all of these wonderful models.
I succeeded in running inference code using Mask RCNN following the tutorial.
```
python2 tools/infer_simple.py \
--cfg…
-
Anyone able to reproduce retinet (FPN) accuracy, on any dataset?
Tried it on a new dataset and got VOC2012 accuracy around 0.52 mAP (ResNet50). Same dataset with mask faster rcnn FPN (ResNet50) fro…
jwnsu updated
6 years ago
-
When I use one GPU to train, there is no problem. But when I use two or four GPUs, the problem come out. The log output:
terminate called after throwing an instance of 'caffe2::EnforceNotMet'
w…