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The docker image fails to build, stopping on step 13/13, the build of Caffe2. The issue is in the build of detectron.
```
make[3]: Entering directory '/detectron/build'
[ 40%] Building CXX obje…
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I ran the following command
`CUDA_VISIBLE_DEVICES=0 python3 tools/test_net.py --dataset coco2017 --cfg configs/baselines/e2e_mask_rcnn_R-50-C4_1x.yaml --load_detectron /mnt/nfshome1/FRACTAL/vijay.…
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Changing the route of pre-trained model to
https://dl.fbaipublicfiles.com/detectron//ImageNetPretrained/MSRA/R-50.pkl
raises the following assertion error:
File "/home/ubuntu/deploy/detectron…
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### Expected results
What did you expect to see?
All objects and non-objects images train in Detectron.
Non-object images mean background images.
### Actual results
What did you observe inste…
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Hello! First of all, thank you for your great sharing. When I run the command "make ops", I get some errors(The message is as follows)。I‘ve tried many ways as the issues mentioned in your project, but…
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Hi,
My code work with Detectron 0.3 and I want change it's backbone from Resnet to SwinT,
you said your code work with Detectron 0.6, Do you have any idea about solve this problem?
Thanks
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## ❓ Questions and Help
I find out this maskrcnn_benchmark and Detectron have no converted ImageNet Pretrained ResNeXt-50 Model, can someone provide the pretrained model ? @fmassa
as far as I …
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### Expected results
make ops successfully
### Actual results
nyl@nyl:~/Detectron$ make ops
mkdir -p build && cd build && cmake .. && make -j24
-- Caffe2: CUDA detected: 8.0
-- Caffe2: CUDA …
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After successful installation, I run this commad.
`
python2 tools/infer_simple.py \
--cfg configs/DensePose_ResNet101_FPN_s1x-e2e.yaml \
--output-dir DensePoseData/infer_out/ \
--imag…
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mkdir -p build && cd build && cmake .. && make -j12
-- Caffe2: CUDA detected: 9.0
-- Caffe2: CUDA nvcc is: /usr/local/cuda/bin/nvcc
-- Caffe2: CUDA toolkit directory: /usr/local/cuda
-- Caffe2: He…