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The C++ API provides a two stage predictor construction process, which is:
step 1: load init_net and predict_net.
step 2: construct a Predictor instance.
I guess that this process takes memory a…
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I builded caffe2 for android and used the generated files like the [demo](https://github.com/bwasti/AICamera/). Though the app works with the original squeezenet model, but when I changed the model to…
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### Checklist
- [X] I added a descriptive title
- [X] I searched open reports and couldn't find a duplicate
### What happened?
If I install PyTorch with `conda install pytorch cpuonly -c py…
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Kindly add support for Object Detection using:
https://github.com/AlexeyAB/darknet
It is very fast and accurate. Particularly Yolov3 and Yolov3-tiny.
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I have the error on training:
terminate called after throwing an instance of 'caffe2::EnforceNotMet'
what(): [enforce fail at conv_op_cudnn.cc:572] status == CUDNN_STATUS_SUCCESS. 8 vs 0. , Error…
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Build output:
```
[ 57%] Building CXX object examples/CMakeFiles/common.dir/ffmpeg-transcode.cpp.o
..…
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Hello. I exported my Yolov5 model as xx.torchscript.ptl and put it into assets folder of the Android Project, however I got this error when I try to run the app:
Process: org.pytorch.demo.objectdet…
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This behavior is noted in `convert_to_caffe2_models.py` while trying to load a converted onnx model. The readme documentation was followed up until this point.
model = onnx.load(model_path)
init_n…
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Please forgive me to new this issues. Is there providing the pretrained weights? Or we train it from scratch by ourselves? Could you mind share it to all of us?Becase somebody like me does not have s…
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Hello,
I'm running Densepose in Docker container with mounted data, first test runs OK
```
root@a182491c8d77:/densepose# python2 detectron/tests/test_batch_permutation_op.py
No handlers could be…