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I notice a huge difference between pure GPU speed (measured by 'caffe time') and the C++ API. My GPU is 1080ti and the GPU time for forward pass is around 25ms for the 512ft model, while if I measure …
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@weiliu89
i followed all steps in the main page,and nothing was wrong .but when i run ssd_pascal_video.py , a strange error occured :
I1122 20:03:59.545342 19850 layer_factory.hpp:77] Creati…
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I just tried to run default ssd.ipynb but ipython kernal dead:
```
[libprotobuf ERROR google/protobuf/text_format.cc:274] Error parsing text-format caffe.SolverParameter: 25:10: Message type "caffe.…
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Just like YOLO or SSD, how to replace original loss function with focal loss in Caffe? Tanks for your answer,this question puzzle me ..
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I tried to convert my caffemodel file to tensorflow, but got an error...
Traceback (most recent call last):
File "caffe_to_tensorflow.py", line 65, in
tf.app.run()
File "/usr/local/lib/…
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Can you please share your mobilenetv2 petrained model ?Thanks a lot!
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Hello and thanks alot for your effort, can you please provide some profiling/benchmarking data against other comparable detectors, such as Caffe Pelee or MobileNet SSD for instance.
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I am sorry to ask a question here, if someone can tell me a good place to ask question about SSD, you will be appreciated!
I am using Caffe to run SSD with VGGNet, you know there are total 20 cl…
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Thank you for your project. It runs good on Windows. I’m working on ssd (Single Shot MultiBox Detector)now. Accuracy rate of ssd is as same as that of faster Rcnn while its speed is as quick as yolo’s…
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upgraded to CUDA 8 & cuDNN 5; regular caffe runs fine but can't seem to get SSD to compile. running into issues with boost and json_parser_read.hpp