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The mp4 making speed seems to be too slow.
Below (1) is my device type and (2) is the speed image that made the video. I would appreciate it if you could tell me what I need to do.
(1)https://im…
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This fork contains interesting results of model conversion: https://github.com/gplhegde/darknet/tree/master/extra
We can expect similar implementation in your fork ?
I think it's very helpful to us…
Rus-L updated
6 years ago
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# Prerequisites
Tensorflow version I am using is 1.15.2
Using google colab
When I started training, by the command
` !python3 train.py --logtostderr --train_dir=../training --pipeline_config_p…
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got prompt
Applied providers: ['CPUExecutionProvider', 'CUDAExecutionProvider'], with options: {'CUDAExecutionProvider': {'prefer_nhwc': '0', 'enable_skip_layer_norm_strict_mode': '0', 'tunable_op_ma…
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Hi, I have run the demo, but Detection took 21.873s for 300 object proposals for only one image(640*360size). Far away from 0.25s in the paper. But I don't know reason.
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**Describe the bug**
I had installed "Microsoft.ML.OnnxRuntime.Gpu" and "Microdoft.ML.OnnxRuntime.MKLML" in visual studio 2019 through NuGet, but I still couldn't include the header file "tensorrt_pr…
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![0_2](https://user-images.githubusercontent.com/61568153/127123305-f4c4e309-bfd8-4b95-801a-8848c5f61c74.png)
I tried your method for detecting my own image,but result like this picture, it seems to …
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I have been trying to run custom object detection and followed the exact steps to get the data in the right format and to download the weights. The training never starts and the script ends without an…
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Dear sir.
My name is Jung Woo Nam(jwnam@coretrust.com).
I am a developer in Korea developing an intrusion detection system using deep learning.
A CUDA error occurred while detecting intrusion w…
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Hi, I have succeeded in optimizing rfcn_resnet101_coco_2018_01_28(downloaded from model zoo) to IR when I use the following command:
> /opt/intel/computer_vision_sdk/deployment_tools/model_optimiz…