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### If you open a GitHub issue, here is the policy:
Your issue must be about one of the following:
1. a bug,
I tried to launch a ssd-300 training network.
After one epoch, a problem happen…
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The [instructions](https://github.com/mlperf/inference_results_v0.5/tree/master/closed/Intel/measurements/clx_9282-2s_openvino-linux/ssd-small/Offline#for-using-quantized-ssd-mobilenet-model) just say…
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why don't i have get_image_size file in /caffe/build/tools?
i already compiled caffe successfully !。。
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Hi. I'm just confused about your reported results. It says in your paper that using RGB images only, the results are as follow:
@0.2: 69.8, @0.5:40.9, @.75: 15.5, @Avg: 18.7
But from the table in t…
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Before you open an issue, please make sure you have tried the following steps:
1. Make sure your **environment** is the same with (https://mace.readthedocs.io/en/latest/installation/env_requirement…
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Hi @justadudewhohacks,
I really love your work and find that it is useful for my work.
Today, I want to try some another models (face detection) that not exists in your repo and model that I want ru…
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Hi,
You mentioned about modifying the data augmentation code of SSD to make sure that it does not change the image ratio. I have some questions about this point; first, during training process each …
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When I open the repo https://github.com/zeusees/Mobilenet-SSD-License-Plate-Detection I see `.prototxt` and `.caffemodel`, so I assume the developer used Caffe for training... But when I check the cod…
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GPU: IMG PowerVR Series6XT GX6650
framework: caffe to mnn
backend: opencl
model: mobileNet ssd
in cpu, the result is ok; in gpu, result error in flatten layer.
I doubt that opencl do not convert …
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Greetings,
I am having an error when running imagenet-console.py. Please see error below.
jetson-inference/build/aarch64/bin$ ./imagenet-console.py --network=googlenet orange_0.jpg output_0.jpg
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JCP13 updated
4 years ago